What Principal Cloud Solutions Architect Jobs are in India?

**Job Title: Principal Cloud Engineer**
**Job Description:**
We are looking for an experienced Senior Cloud Platform Engineer to join our Cloud Management & Platform Engineering team.
In this role, you will design, build, and operate enterprise-scale multi-cloud governance and enablement platforms across Google Cloud, IBM Cloud, AWS, and Azure. You will leverage Infrastructure as Code (IaC), automation, platform engineering practices, and AI-driven operational tooling to improve security, consistency, scalability, and developer experience across our cloud estate.
This is a highly technical, hands-on engineering role focused on cloud automation, governance, security, and platform reliability.
**What You'll Do**
**Cloud Platform Engineering**
+ Design and build cloud governance and enablement services across multi-cloud environments (GCP, IBM Cloud, AWS, Azure).
+ Develop reusable platform capabilities that accelerate secure cloud adoption.
+ Implement and maintain cloud account/project onboarding frameworks.
+ Design and manage enterprise cloud networking, security, and connectivity patterns.
+ Maintain integrations with observability, monitoring, logging, and security platforms.
+ Build and manage secure ingress protection services including WAF and DDoS controls.
+ Design enterprise logging, telemetry, and SIEM integration patterns.
+ Develop and maintain golden VM images and hardened infrastructure baselines.
**Infrastructure as Code & Automation**
+ Build and maintain Terraform-based cloud provisioning frameworks.
+ Develop automation using Python, Go, Ansible, Bash, and cloud-native APIs.
+ Create reusable modules, templates, and CI/CD pipelines for infrastructure delivery.
+ Implement automated testing, validation, compliance, and policy enforcement controls.
+ Drive platform modernization through automation-first engineering practices.
**Cloud Governance & Security**
+ Translate security, compliance, and governance requirements into cloud-native policies and guardrails.
+ Define and implement enterprise cloud governance standards.
+ Partner with Security, Architecture, and Engineering teams to establish secure access control models.
+ Improve cloud posture management through automation and continuous compliance monitoring.
+ Design scalable governance frameworks that balance security with developer productivity.
**AI & Intelligent Operations**
+ Design and implement AI-assisted and agentic workflows to streamline cloud operations and governance activities.
+ Explore and deploy automation capabilities leveraging AI/ML technologies.
+ Develop operational tooling that improves incident response, remediation, and platform insights.
**Reliability & Operations**
+ Operate and support business-critical cloud management platforms.
+ Participate in an on-call rotation supporting cloud platform services.
+ Drive reliability, availability, and performance improvements.
+ Implement robust observability, monitoring, alerting, and operational support patterns.
**Technical Leadership**
+ Act as a technical SME for AWS, Azure, Google Cloud and IBM Cloud platforms.
+ Mentor engineers and contribute to engineering best practices.
+ Partner with stakeholders to translate business requirements into scalable technical solutions.
+ Contribute to platform strategy, architecture, and roadmap planning.
**Required Skills & Experience**
**Experience**
+ 7+ years of experience in Cloud Engineering, Platform Engineering, DevOps, SRE, or Infrastructure Engineering.
+ 5+ years of hands-on experience building Infrastructure as Code solutions.
+ 3+ years of experience operating cloud platforms at enterprise scale.
+ Experience working in multi-cloud environments.
+ Strong understanding of cloud security, governance, networking, and automation. **Candidate must be available during US business hours through the training period. Upon successful completion of training and demonstrated independence in the role, working hours may be renegotiated to better align with UK or India time zones.**
**Cloud Platforms**
Hands-on experience with:
+ Google Cloud Platform (GCP) (Preferred)
+ AWS
+ Azure
Additional experience with the following is highly desirable:
+ IBM Cloud
**Infrastructure & Automation**
Strong hands-on experience with:
+ Terraform
+ Ansible
+ Python
+ Go
+ Bash/Shell scripting
+ Cloud Provider APIs and SDKs
+ CI/CD platforms and GitOps practices
**Cloud Governance & Security**
Experience with:
+ Policy-as-Code
+ IAM and Access Governance
+ Compliance Automation
+ Security Guardrails
+ Cloud Security Best Practices
+ Logging, Monitoring, and Observability Platforms
+ SIEM Integration
**Preferred Qualifications**
+ Experience designing enterprise-scale cloud platforms.
+ Experience working within a Cloud Center of Excellence (CCoE) or Platform Engineering organization.
+ Experience implementing Internal Developer Platforms (IDP).
+ Experience with AI-powered operational tooling or agentic automation frameworks.
+ Familiarity with:
+ Terragrunt
+ PowerShell
+ JavaScript / Node.js
+ Kubernetes
+ GitHub Actions, GitLab CI, or Jenkins
+ Open Policy Agent (OPA)
+ Cloud Security Posture Management (CSPM) solutions
**What Success Looks Like**
+ Increased automation and reduction in manual cloud operations.
+ Improved cloud governance and security posture.
+ Faster and more consistent cloud onboarding and provisioning.
+ Enhanced developer experience through reusable platform services.
+ Scalable, reliable, and secure multi-cloud operations.
**Who we are:**
At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson.
Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing
**Job:** Engineering
**Job Family:** TECHNOLOGY
**Organization:** OCTO
**Schedule:** FULL\_TIME
**Workplace Type:** Hybrid
**Req ID:** 25062

Title:
Principal Cloud Solutions Architect - Applications & AI
KBR is looking for a Principal Cloud Solutions Architect - Applications & AI to serve as a senior technical leader responsible for defining enterprise architecture standards, cloud-native application strategies, artificial intelligence solutions, and integration patterns across KBR's global technology landscape. This role provides architectural leadership for custom applications, Azure platform services, enterprise integration, Microsoft Power Platform, Microsoft 365, and AI-enabled business solutions.
The Principal Cloud Solutions Architect - Applications & AI will work within a globally distributed Strategy and Architecture organization. This position will partner with stakeholders across North America, Europe, Asia-Pacific, and other global regions to guide application modernization, cloud adoption, AI enablement, and technology governance initiatives. The ideal candidate will combine a deep expertise in enterprise application architecture, Azure cloud services, AI platforms, and DevSecOps practices with a proven ability to influence technology strategy, establish standards, and mentor technical teams across a complex enterprise environment.
In September 2025, KBR announced that we are spinning our Mission Technology Solutions business into a separate public company. This role will ultimately be part of the new company. The Mission Technology Solutions business partners with governments and defense, intelligence, space, aviation, and critical infrastructure customers to deliver high-end engineering, science, technology, and mission support solutions.
**Ability to work a regular 2:00 PM - 11:00 PM IST schedule**
Key Responsibilities:
+ Enterprise & Application Architecture
+ Define and maintain enterprise application architecture standards, principles, reference architectures, and reusable design patterns
+ Lead architecture design for custom applications, cloud-native solutions, integration initiatives, and modernization programs
+ Provide architectural leadership for solutions leveraging Microsoft technologies, including .NET, .NET Core, C#, ASP.NET, Blazor, Web APIs, and modern application frameworks
+ Establish architecture patterns for microservices, distributed systems, API-first architectures, event-driven solutions, and domain-driven design
+ Evaluate application portfolios and recommend modernization strategies that improve scalability, security, maintainability, and operational efficiency
+ Ensure solutions align with enterprise architecture, security, integration, supportability, and lifecycle management standards
+ Serve as a trusted advisor to business and technology stakeholders on application architecture and technology decisions
+ Azure PaaS & Cloud-Native Architecture
+ Lead adoption of Azure PaaS and cloud-native technologies as preferred enterprise application hosting models
+ Design solutions utilizing Azure App Services, Azure Functions, Azure SQL, API Management, Logic Apps, Service Bus, Event Grid, Container Apps, Key Vault, Azure Front Door, and related Azure services
+ Establish reusable architecture patterns that promote scalability, security, reliability, observability, operational excellence, and cost optimization
+ Guide application teams in selecting appropriate Azure services, deployment models, and cloud-native design approaches
+ Ensure solutions align with Microsoft Azure Well-Architected Framework principles
+ AI Architecture & Intelligent Platforms
+ Define enterprise AI architecture standards, governance models, reference architectures, and implementation frameworks
+ Design and govern AI-enabled solutions utilizing Azure AI Foundry, Azure OpenAI, Azure AI Services, AI Agents, Retrieval-Augmented Generation (RAG), intelligent search, vector databases, and enterprise knowledge platforms
+ Guide integration of AI capabilities within custom applications, Power Platform solutions, and Microsoft 365 environments
+ Ensure AI solutions align with responsible AI principles, security, privacy, compliance, data governance, and operational support requirements
+ Evaluate emerging AI technologies and recommend enterprise adoption strategies
+ Enterprise Integration & Platform Architecture
+ Define enterprise integration strategies, standards, and reusable architecture patterns
+ Design architectures leveraging APIs, messaging platforms, event-driven architectures, Microsoft Graph, and hybrid integration models
+ Provide governance and architectural guidance for Power Platform, Microsoft 365, SharePoint Online, Teams, Dataverse, and related platforms
+ Establish secure and scalable integration patterns across Azure services, SaaS applications, enterprise systems, and low-code platforms
+ Guide teams on the appropriate use of low code versus custom development approaches
+ Architecture Governance, Security & DevSecOps
+ Lead architecture review boards, solution governance reviews, and technical design assessments
+ Ensure alignment with enterprise architecture standards, technology roadmaps, security requirements, and operational support models
+ Define architecture standards supporting Secure SDLC, DevSecOps, software quality, and software supply chain governance
+ Review security findings, software quality metrics, vulnerability assessments, and compliance controls
+ Partner with development, cloud, and cybersecurity teams to integrate security, quality, and compliance requirements into delivery pipelines
+ Ensure solutions align with organizational security standards and industry best practices
+ Technology Strategy & Leadership
+ Lead proof-of-concepts, technology evaluations, vendor assessments, and strategic recommendations
+ Partner with technology vendors and platform providers to support enterprise solution adoption and modernization efforts
+ Contribute to cloud, application, AI, integration, and enterprise technology roadmaps
+ Support critical architecture decisions, major initiatives, and complex production escalations
+ Mentor architects, engineers, and development teams
+ Serve as a senior technical leader across globally distributed teams and initiatives
Basic Qualifications:
+ Bachelor's degree in computer science, Information Systems, Engineering, or a related field required; equivalent experience may be considered
+ 9 + years of overall Information Technology experience
+ 7 + years of experience in Solution Architecture, Application Architecture, Cloud Architecture, AI Architecture, or Enterprise Architecture roles
+ 5+ years of hands-on Microsoft Azure architecture experience
+ Proven ability in designing enterprise-scale custom applications and modernization initiatives
+ Highly skilled in developing architecture standards, governance frameworks, and technology roadmaps
+ Deep expertise in Microsoft technologies, including .NET, .NET Core, C#, ASP.NET, Blazor, Web APIs, and cloud-native application architectures
+ Proficiency in designing Azure PaaS and cloud-native solutions
+ Familiar with Azure AI Foundry, Azure OpenAI, Azure AI Services, AI Agents, RAG architectures, and intelligent application platforms
+ Skilled in designing or governing enterprise solutions utilizing Azure services, APIs, Microsoft Power Platform, and Microsoft 365 technologies
+ Strong understanding of enterprise integration architecture, API management, and event-driven design patterns
+ DevOps, DevSecOps, software quality governance, and software supply chain risk management experience
+ Knowledge of secure application architecture, governance, compliance, and enterprise security principles
+ Strong communication and stakeholder management skills
+ Proven expertise to influence technical strategy and architectural decisions across large organizations
+ Strong analytical, problem-solving, and decision-making capabilities
+ Demonstrated ability to mentor architects, engineers, and development teams
+ Ability to communicate complex technical concepts effectively to both technical and executive audiences
+ Experience working across globally distributed teams and business functions
Preferred Qualifications
+ Microsoft Certified: Azure Solutions Architect Expert (AZ-305)
+ Microsoft Certified: Azure AI Engineer Associate (AI-102)
+ TOGAF Certification
+ Ability to design and govern enterprise solutions utilizing Azure cloud-native services, integration platforms, container technologies, DevOps toolchains, Microsoft Power Platform, and Microsoft 365 technologies
+ Proficiency with Azure AI Foundry, Azure OpenAI, AI Agents, RAG architectures, intelligent search, vector databases, Copilot technologies, and enterprise AI governance
+ SonarQube, Sonatype Nexus Lifecycle/IQ, GitHub Advanced Security, SAST, DAST, and secure CI/CD practices experience
+ Knowledge of NIST, ISO 27001, CIS Benchmarks, and enterprise governance frameworks
+ Exposure to AWS and Google Cloud Platform environments
We are IT
We are strategic enablers of the business, delivering scalable, secure, and innovative technology solutions that drive operational excellence and support enterprise growth. We partner closely with functions across the organization to modernize systems, unlock data-driven insights, and enhance the digital employee experience. Our global footprint and commitment to transformation position us at the forefront of leveraging technology to create lasting business value.

Job Description: Principal AI Leader - Process / Industrial Automation
**Role Summary**
The Principal AI Leader will define and execute an AI-first engineering strategy for Process / Industrial Automation, advancing product development, engineering productivity, product intelligence, and enterprise AI adoption. The role will move AI beyond isolated pilots into secure, scalable, governed solutions that deliver measurable business outcomes. Combining technical leadership, strategic vision, and execution discipline, the successful candidate will modernize traditional engineering practices into an AI-driven operating model. They will partner with engineering, product management, architecture, and business leaders to identify high-value AI opportunities, build scalable solutions, and accelerate adoption across the organization.
**Key Responsibilities**
+ **Strategy, Roadmap, and Operating Model:** Define the AI vision, maturity roadmap, operating model, investment priorities, and adoption plan for Process / Industrial Automation.
+ **AI-Enabled Product Development:** Accelerate AI adoption across requirements, architecture, design, coding, testing, DevSecOps, security, documentation, release management, SRE, and operations.
+ **AI-Powered Product Capabilities:** Partner with product management and engineering to embed AI copilots, conversational AI, predictive analytics, digital twins, autonomous agents, edge AI, knowledge assistants, and industrial AI capabilities into products.
+ **Reusable AI Platforms and Frameworks:** Establish scalable capabilities such as LLM gateways, RAG platforms, vector databases, prompt libraries, model registries, agent frameworks, AI SDKs, evaluation frameworks, monitoring, and AI marketplaces.
+ **Responsible AI, Security, and Governance:** Set standards for privacy, security, data governance, prompt governance, explainability, hallucination control, AI audits, compliance, ethics, risk management, and cost governance.
+ **Organizational Enablement and Adoption:** Build AI capability through evangelists, champions, guilds, communities of practice, internal certifications, hackathons, innovation labs, reusable assets, and adoption programs.
**Required Qualifications**
+ **Experience and Domain Depth:** 15-20+ years in software engineering, including 8-10+ years in AI/ML, data platforms, industrial automation, or related technology domains.
+ **Generative and Agentic AI:** 3-5+ years of experience with GenAI and LLMs, plus 2+ years working with agentic AI capabilities.
+ **Engineering and Product Expertise:** Deep expertise across software engineering, product engineering, AI/ML, and the needs of Process / Industrial Automation products, customer workflows, reliability expectations, and operating environments.
+ **Enterprise Transformation Leadership:** Proven ability to lead enterprise-scale AI, GenAI, ML, automation, or digital transformation initiatives from strategy through production adoption.
+ **Stakeholder Influence:** Demonstrated ability to influence senior stakeholders across engineering, product, IT, architecture, cybersecurity, data, legal, operations, finance, and executive leadership.
+ **Execution and Outcomes:** Strong track record of defining roadmaps, building reusable platforms, leading cross-functional execution, and delivering measurable business outcomes.
**Technical Skills**
+ **AI Platform Engineering:** LLM gateways, RAG platforms, vector databases, model registries, agent frameworks, AI SDKs, prompt libraries, evaluation frameworks, AI marketplaces, and reusable AI services.
+ **Generative AI and Agentic AI:** Generative AI, OpenAI, LLMs, prompt engineering, agentic AI, multi-agent systems, MCP, knowledge graphs, conversational AI, and autonomous agents.
+ **RAG and Knowledge Systems:** RAG architecture, knowledge databases, embeddings, retrieval pipelines, Chroma, pgvector, Pinecone, Azure AI Search, vector indexing, and grounding strategies.
+ **AI/ML Engineering and Operations:** Machine learning, MLOps, LLMOps, MLflow, LangSmith, model evaluation, model monitoring, AI observability, production AI operations, and lifecycle automation.
+ **Cloud AI Platforms:** Azure AI Foundry, Azure OpenAI, Azure ML, Azure AI Search, Google Vertex AI, cloud-native AI deployment, enterprise integration, scalability, and secure platform operations.
+ **Software Engineering and DevSecOps:** Cloud-native engineering, containers, Kubernetes, DevSecOps, SRE, secure software development, release automation, enterprise integration, and AI-assisted software delivery.
+ **AI Engineering Tools and Developer Productivity:** GitHub Copilot, Microsoft Copilot, LLM APIs, AI SDKs, prompt testing tools, open code, specKit, GrillMe, token reduction approaches such as RTK or equivalent, and developer workflow automation.
+ **Context Engineering and Responsible AI Operations:** Context engineering strategies such as .GitHub copilot-instructions or .cursor rules, prompt governance, hallucination control, AI monitoring, responsible AI, security, privacy, compliance, and cost governance.
**Leadership and Business Skills**
+ **AI Strategy and Transformation:** Lead enterprise AI strategy, transformation roadmaps, product thinking, innovation management, and executive communication.
+ **Business Impact and Execution:** Convert AI opportunities into measurable gains in engineering productivity, product differentiation, customer value, financial performance, and operational efficiency. Drive product-led initiatives from concept through execution, adoption, and measurable impact.
+ **Stakeholder Leadership:** Engage and influence stakeholders across product, engineering, architecture, Enterprise IT, cybersecurity, data, legal, compliance, operations, finance, and business leadership.
+ **Investment, ROI, and Cost Governance:** Oversee ROI tracking, vendor management, platform investments, budget planning, licensing, infrastructure optimization, and responsible AI cost governance.
+ **Enterprise AI Platforms and Ecosystems:** Establish enterprise-grade RAG, LLMOps, and AI governance frameworks. Integrate external agents and MCP servers into enterprise AI workflows and apply NVIDIA technologies and ecosystem capabilities where they strengthen AI solution development.
**Success Measures**
+ **Engineering:** Higher developer productivity, shorter lead times, increased deployment frequency, lower defect density, improved MTTR, and broader AI-assisted engineering adoption. Create scalable, production-ready AI frameworks and agentic AI capabilities across the engineering lifecycle.
+ **Product:** Stronger AI feature adoption, higher customer satisfaction, increased feature usage, better prediction and response quality, improved retention, and measurable revenue contribution from AI capabilities.
+ **People:** Greater AI proficiency, increased certifications, more prompt library contributions, higher training completion, stronger hackathon participation, and greater innovation output.
+ **Financial:** Reduced engineering costs, improved AI ROI, optimized infrastructure and cloud usage, better license efficiency, and disciplined responsible AI cost management.
Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments - powered by our Honeywell Forge software - that help make the world smarter, safer and more sustainable.
Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.

**Job Title:** Principal AI Engineer
**Location:** Hyderabad, India
**Years of Experience:** **8-10 years of hands-on software engineering experience** , including building and scaling AI-powered systems in production
**Position Overview**
We are seeking a **Principal AI Engineer** to design, build, and scale AI-driven systems across our product platforms. This role is ideal for a deeply technical engineer who leads through hands-on contribution, solves complex problems, and drives the adoption of AI into real-world products.
The ideal candidate brings **strong backend and cloud fundamentals** , **mandatory experience with Java and AWS** , and proven experience integrating **AI and Generative AI capabilities** into production systems. You will work closely with product, architecture, and engineering teams to deliver reliable, scalable, AI-enabled solutions that create meaningful business impact.
**In this role you will.**
**AI Engineering & System Design**
+ Design, build, and operate **AI-powered applications** , including LLM-based services, ML-driven workflows, and intelligent automation.
+ Integrate AI capabilities into **Java-based backend systems** and cloud-native platforms.
+ Design scalable **API-first services** (REST & GraphQL) exposing AI capabilities across products.
+ Implement data pipelines supporting **feature engineering, retrieval-augmented generation (RAG), vector search, and inference** .
+ Apply best practices for **prompt design, model orchestration, evaluation, and observability** .
**Cloud & Platform Engineering (AWS - Must Have)**
+ Build and operate **cloud-native AI systems on AWS** , including EC2, S3, RDS, Lambda, and EKS.
+ Design containerized workloads using **Docker and Kubernetes (EKS)** .
+ Optimize systems for **scalability, latency, reliability, and cost efficiency** .
+ Implement Infrastructure as Code using **Terraform or AWS CDK** .
**Data & Distributed Systems**
+ Design and operate **relational (SQL)** and **NoSQL** data stores for high-scale, distributed systems.
+ Make informed trade-offs around data consistency, availability, and performance.
+ Work with event-driven and asynchronous architectures where appropriate.
**Technical Leadership & Impact**
+ Lead complex technical initiatives end-to-end, from design through production deployment.
+ Influence system design and engineering standards across teams through design reviews and technical guidance.
+ Mentor senior engineers and raise the overall bar for **AI and cloud engineering excellence** .
+ Collaborate with Product, Data, UX, Security, and DevOps teams to deliver AI-driven product capabilities.
**You've got what it takes if you have.**
**Required (Must Have)**
+ **8-10 years of hands-on software engineering experience** building large-scale, production systems.
+ Strong, hands-on experience with **Java** in backend and distributed systems.
+ **Mandatory, hands-on experience with AWS** , including designing and operating cloud-native workloads.
+ Strong experience with **SQL and NoSQL databases** in production environments.
+ **3+ years of experience building AI-powered applications** , including ML or LLM-based systems.
+ Experience with **API-first architectures** (REST, GraphQL).
+ Hands-on experience with **Docker and Kubernetes (EKS)** .
+ Strong problem-solving skills and ability to own systems end-to-end.
**Nice to Have**
+ Experience with **Generative AI platforms and frameworks** (AWS Bedrock, OpenAI APIs, LangChain, LlamaIndex).
+ Experience with **vector databases and semantic search** .
+ Familiarity with **MLOps practices** , model monitoring, and evaluation frameworks.
+ Experience working in product-driven, agile environments.
**Leveling Guidance**
+ **Senior AI Engineer:** Owns complex components and services; strong execution and technical depth.
+ **Principal AI Engineer:** Owns multi-team technical initiatives; influences architecture and engineering standards across the organization.
**Why Join Us?**
+ **Real AI Impact:** Build AI systems that ship, scale, and deliver customer value.
+ **Hands-On Leadership:** Lead through deep technical contribution.
+ **Modern Stack:** Java, AWS, Kubernetes (EKS), SQL/NoSQL, and Generative AI.
+ **Collaboration:** Work with strong product, data, and engineering partners.
+ **Core Values:** Be part of a company that lives by **Shattering Boundaries, Sparking Greatness, and Sharing Success** .
\#LI-OnSite
Equal Employment Opportunity has been, and will continue to be, a fundamental commitment at Cornerstone OnDemand. All qualified applicants are given consideration regardless of race, color, gender, age, sexual orientation, national origin, marital status, citizenship status, disability, veteran status, or any other protected class as provided in applicable Federal, State, or Local fair employment laws. If you have a disability or special need that requires accommodation, please contact us at

**Our Purpose**
_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._
**Title and Summary**
Senior Principal Data Engineer
Job Overview:
Leads software / data engineering projects and creates the development and delivery of enhanced solutions. Researches alternative technical solutions for changing business needs. Responsible for assuring the daily activities of the team meet the requirements of SLA's.
Major Accountabilities:
-Successfully lead major projects and complex assignments with broad scope and long-term business implications. Create solutions with high level of innovation, cost effectiveness, high quality and faster time to market. Lead day to day system development and maintenance activities of the team to meet service level agreements (SLAs). Collaborate with business and technical partners to identify and scope the opportunities, outline potential value and ROI, identify risks, benefits and constraints. Contribute to the overall strategy and manage complex issues within functional area of expertise.
-Develop overall strategic technical plan and create architecture proposals based on identified solution gaps. As recognized subject matter expert, lead planning, design and implementation of technical solutions. Create solution definition and solution architecture. Assist Management in Business Case Development and Scenario Planning leading to an effective decision making process. Make presentations to the Management, Business Owners and other Stakeholders.
-Assist in examining commercially available and forthcoming industry technologies related to area of expertise. Research on current and upcoming technologies and application appropriate frameworks and provide recommendations to Management. Perform PoCs (Proof of Concept) and help Department in the selection of Technology. Proactively create and maintain solution and technology road maps.
-Partner with Project Managers in implementation of processes per the evolving needs of the team and the solutions. Create detailed cost and time estimates for implementing business solutions, define technical scope and requirements of the project and assist project manager with managing scope during the lifecycle of the project. Identify Quality methodology and define Quality Metrics for the Team. Define and Lead Quality Assurance and Quality Control processes in the department. Assist in vendor selection and RFI/RFP process.
-Lead Quality Assurance and Quality Control processes in the department. Ensure adequate test coverage in Unit Testing, System Testing/Integration Testing and Performance Testing. Perform Quality Inspections and Walkthroughs through out the SDLC including Requirements Review, Architecture Review, Design Review, Code Review and Security Review to ensure compliance with MasterCard standards. Co-ordinate offshore development and manage day to day activities. Support collection and reporting of project and software metrics. Actively look for opportunities to enhance standards and improve process efficiency. Mentor and guide other team members during all phases of the SDLC.
-Lead and guide team through all phases of the SDLC of an application. Successfully lead production incident and problem management, identification of root cause and remediation of the problems. Mentor, coach and assist project team members. Provide Brownbag sessions on new and upcoming technologies, methodologies and frameworks. Provide technical training to the team. Assist with selection of technical resources for the projects.
Technology:
Champion ELTL modernization, delivering scalable, cloud-ready, and hybrid data processing architectures that support regional deployments and align with enterprise modernization objectives.
Advance real-time data processing capabilities for transaction streams, enabling next-generation, low-latency data products and unlocking real-time business insights and decision-making.
Drive adoption of AI across DCE , identifying high-value use cases and accelerating innovation.
Education:
-Bachelor's degree in Information Systems, Information Technology, Computer Science or Engineering or equivalent experience.
Knowledge / Experience:
-10+ years of experience in related field, including 5 to 8 years of experience in delivering secure solutions in Financial Services Sector is preferred.
-Advanced knowledge and understanding of Software Engineering Concepts and Methodologies is required.
Skills/ Abilities:
-Ability to be high-energy, detail-oriented, proactive and able to function under pressure in an independent environment along with a high degree of initiative and self-motivation to drive results.
-Strong communication skills -- both verbal and written - and strong relationship, collaboration skills and organizational skills.
-Ability to quickly learn and implement new technologies, frameworks and tools and support multiple concurrent activities and to interface with external / internal resources, working as a member of a matrix based diverse and geographically distributed project team.
Experience in Data Integration technologies including Data Modeling and Architecture expertise is required
Experience on Cloud, Unix, SQL and Hadoop is a requirement
**Corporate Security Responsibility**
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
+ Abide by Mastercard's security policies and practices;
+ Ensure the confidentiality and integrity of the information being accessed;
+ Report any suspected information security violation or breach, and
+ Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.

**Our Company:**
At Teradata, we believe that people thrive when empowered with better information. Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes. With Teradata, organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach. Teradata delivers real business value with AI.
**What You'll Do**
As a **Principal AI Engineer** , you will play a key role in designing and delivering highly scalable, next generation AI products. You will work in a technically rich environment with talented peers, contributing to product strategy, architecture, and execution while influencing the evolution of Teradata's AI capabilities.
In this role, you will:
+ Design, architect, develop, and maintain high quality systems, services, and applications with an emphasis on scalability, reliability, and performance.
+ Collaborate with cross-functional engineers and product partners to shape architecture and consistently deliver end to end features.
+ Build and integrate robust RESTful APIs, ensuring security, data consistency, and maintainability.
+ Work with SQL and NoSQL databases to implement efficient data models and service access patterns.
+ Apply and experiment with AI/ML technologies, including agentic AI and large language models (LLMs).
+ Use AI powered engineering tools to improve development quality, speed, and productivity.
+ Mentor engineers, supporting them in technical planning, implementation, and best practices.
+ Identify and resolve system performance bottlenecks, optimizing code, architecture, and infrastructure.
+ Write unit and integration tests and participate in code reviews to uphold engineering excellence.
+ Investigate production issues, ensuring timely and effective solutions.
+ Stay current with emerging trends in engineering, AI/ML, and cloud-native technologies.
**Who You'll Work With**
You will be part of a high-performing engineering team building core components of Teradata's AI platform. You will collaborate closely with other engineers, AI/ML specialists, product managers, cloud architects, and partner teams across the company. The role offers opportunities to contribute directly to Teradata's AI product roadmap and technological direction.
**What Makes You a Qualified Candidate**
(Nonnegotiable qualifications)
+ Bachelor's degree in Computer Science or equivalent from a recognized institution.
+ 15+ years of experience in backend services, distributed systems, or data platform development.
+ Strong proficiency in Java, Go, or Python for service development.
+ Deep understanding of design principles, distributed system patterns, and service architecture.
+ Hands-on experience designing and developing RESTful APIs.
+ Experience with SQL and NoSQL databases and data modelling.
+ Strong debugging, problem solving, and troubleshooting skills.
+ Experience with modern containerization and orchestration tools such as Kubernetes.
+ Knowledge of public cloud platforms.
+ Experience with AI productivity tools (e.g., GitHub Copilot).
+ Ability to work independently, drive workstreams, and deliver high quality outcomes.
+ Strong communication and collaboration skills.
**What You'll Bring**
(Preferred qualifications)
+ Familiarity with messaging systems such as Kafka.
+ Experience experimenting with or implementing AI/ML technologies, Agentic AI, or LLMs.
+ A track record of influencing architecture decisions and driving engineering best practices.
+ The ability to mentor engineers and guide them through design, planning, and execution.
+ A proactive mindset and comfort working in fast paced, dynamic environments.
+ Curiosity, adaptability, and a passion for building impactful AI-driven products.
**Why We Think You'll Love Teradata**
We prioritize a **people-first culture** because we believe our teams do their best work when supported and empowered. We embrace flexible working models built on trust, and we focus on wellbeing to help our people thrive both personally and professionally. As part of our deep commitment to **Diversity, Equity, and Inclusion** , we strive to cultivate an environment where everyone feels valued, respected, and able to contribute fully.
\#LI-NM1
Why We Think You'll Love Teradata
We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.

**Requisition number:**
**Job category:** Business & Data Analytics
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start **Caring. Connecting. Growing together.**
As a Senior Data Scientist (SG 29), you will hands on design, build, and productionize Agentic AI and GenAI solutions on top of a Healthcare Core Data Platform. You will deliver reliable, compliant, and scalable AI systems that work across large healthcare datasets (claims/clinical/provider/member) and enable measurable improvements in quality, cost, and operational efficiency.
**Primary Responsibilities:**
+ Agentic AI & GenAI Delivery
+ Design and implement agentic AI systems (multi step, tool using agents) that can plan, execute, and verify outcomes under defined guardrails for healthcare workflows
+ Build GenAI solutions using enterprise approved LLMs including Claude 4.6 and OpenAI Codex (and equivalents) for:
+ intelligent data exploration and analytics assistance
+ automated insight generation and summarization
+ engineering productivity accelerators (code generation, refactoring, test creation)
+ workflow automation and triage support
+ Develop hybrid systems combining LLMs with classical ML (predictive/prescriptive models) for robust performance on healthcare use cases
+ Core Data Platform Integration
+ Implement AI solutions tightly integrated with the Core Data Platform (curated datasets, standardized semantics, governed access, reusable components)
+ Partner with data engineering/platform teams to implement scalable patterns for:
+ secure tool-calling and controlled data access
+ retrieval / grounding patterns (enterprise search, knowledge bases, curated datasets)
+ reusable agent skills and shared libraries
+ Model / Agent Lifecycle Ownership
+ Own end to end delivery: problem framing - data readiness - prototyping - evaluation - production deployment - monitoring and iteration
+ Build and maintain evaluation frameworks for LLM and agent behavior (quality, hallucination risk, safety, latency, and cost)
+ Implement drift and behavior monitoring for models and agents; create feedback loops and runbooks to maintain performance over time
+ Ensure production readiness: reliability, observability, incident response, and cost controls
+ Governance, Security & Responsible AI
+ Build solutions compliant with healthcare privacy and governance expectations (e.g., PHI handling, access controls, auditability, retention, and policy adherence)
+ Implement guardrails: prompt protections, tool use restrictions, sensitive data redaction, and explainability approaches where required
+ Document system behavior, limitations, and risk mitigations for technical and non technical stakeholders
+ Technical Influence
+ Influence adoption through hands-on artifacts: reference implementations, templates, evaluation harnesses, reusable agent patterns, and technical documentation
+ Contribute to platform standards for LLMOps / AgentOps: telemetry, gating checks, prompt/version management, and secure deployment patterns
+ Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
**Required Qualifications:**
+ Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Engineering, or related field
+ 12+ years of overall experience, with 5+ years in Data Science / AI/ML / Applied AI in enterprise environments
+ Hands-on experience with ML frameworks: Scikit Learn, and at least one of TensorFlow / PyTorch
+ Experience building evaluation + monitoring for ML/AI systems (metrics, drift, observability, reliability)
+ Practical experience applying LLMs and coding assistants in real workflows, including Claude 4.6 and OpenAI Codex (or equivalent enterprise-approved tools/models)
+ Solid proficiency in Python (pandas, numpy) and SQL; solid debugging and problem-solving skills
+ Proven track record delivering production-grade AI/ML solutions end to end (not just experimentation)
**Preferred Qualifications:**
+ Hands-on experience with agentic orchestration patterns: tool calling, memory strategies, guardrails, and multi-step workflow design
+ Experience with streaming/event-driven systems (Kafka) for near-real-time use cases
+ Exposure to LLMOps / AgentOps: prompt/version management, automated evaluation, red-teaming, telemetry, CI/CD integration
+ Familiarity with big data / distributed compute (PySpark, distributed SQL engines) and large-scale pipelines
+ Healthcare domain familiarity: claims/clinical/provider/member data and regulated delivery environments (privacy/security/compliance)
+ Proven ability to own complex problem spaces end-to-end with minimal supervision, from design through production operations
+ Proven ability to drive impact primarily through technical execution and reusable artifacts, not people management
+ Proven ability to make engineering tradeoffs across accuracy, safety, latency, reliability, compliance, and cost and documents decisions clearly
+ Proven ability to produce solutions that are adoptable and repeatable across multiple assets via templates, libraries, and reference implementations
**Success Measures (What "Good" Looks Like in 6-12 Months)**
+ Production Adoption: agent/GenAI capability used by multiple downstream teams or workflows
+ Quality & Safety: measurable improvements in evaluation scores; reduced hallucination/safety incidents via guardrails
+ Operational Excellence: monitoring coverage, drift detection, and incident response readiness implemented
+ Productivity: reduced cycle time for analytics/engineering workflows via Claude 4.6/Codex-enabled accelerators
+ Governance: audit-ready documentation, controlled PHI access, compliant deployments
_At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission._

**Job Description Summary**
The Principal Data Scientist is a senior technical leader responsible for defining and executing enterprise-wide Artificial Intelligence / Machine Learning strategy across the Power Data Science & Artificial Intelligent (DS&AI) organization. This role elevates the impact of the data science function by establishing best-in-class standards for modeling, experimentation, and robust algorithm design, while mentoring and guiding teams toward high-quality, production-ready outcomes.
As a hands-on leader, this role architects and delivers accurate, robust, and production-grade data science, GenAI, and ML algorithms and methods that drive measurable business value and accelerate digital transformation initiatives.
The Principal Data Scientist collaborates closely with business, engineering, product, and solution architecture teams to integrate advanced analytics, ML, and GenAI capabilities into core workflows, products, and enterprise decision-making. This role combines deep technical expertise with strong business acumen to lead complex, cross-functional initiatives from ideation through scalable, enterprise-wide adoption.
**Job Description**
**Roles and Responsibilities**
+ Serves as a senior technical and strategic leader defining and executing enterprise-wide AI/ML and GenAI algorithms and methods aligned with Power business priorities and digital transformation goals.
+ Elevates the impact of the data science organization by establishing best-in-class standards, accurate & robust solutions, and driving measurable business value through advanced analytics.
+ Defines and enforces standards for modeling, exploratory data analysis (EDA), experimentation, evaluation, and responsible AI.
+ Establishes best practices for reproducibility, versioning, validation, and model lifecycle management.
+ Sets high expectations for code quality, documentation, and scalable solution design across the data science community.
+ Leads technical design reviews and governance for high-impact AI/ML and GenAI initiatives.
+ Ensures solutions balance technical rigor with scalability, maintainability, operational feasibility, and measurable business value.
+ Drives continuous model performance improvements through structured experimentation, feature engineering, model selection, tuning, and monitoring.
+ Guides teams in selecting appropriate methodologies, architectures, and tools for complex, ambiguous problem spaces.
+ Drives a culture of scientific rigor by establishing clear hypotheses, baselines, and success metrics.
+ Standardizes experimentation practices to ensure results are reproducible, comparable, and decision-ready.
+ Partners with business, engineering, product, and solution architecture teams to embed advanced analytics, machine learning, and GenAI into core workflows, products, and decision-making.
+ Shapes enterprise data science capabilities, including reusable assets, accelerators, and scalable patterns such as GenAI and RAG based solutions.
+ Influences platform, tooling, and architectural decisions in collaboration with data and engineering teams.
+ Partners with data engineering and domain teams to ensure fit-for-purpose data across structured and unstructured sources.
+ Embeds EDA and data readiness as foundational steps in the AI development lifecycle.
+ Establishes and enforces standards for model governance, monitoring, auditability, and risk management.
+ Identifies and mitigates risks related to model deployment, data dependencies, and operational performance.
+ Acts as a thought leader on emerging AI/ML and GenAI trends, translating innovation into practical enterprise applications.
+ Incubates new approaches, pilots emerging capabilities,
+ Mentors and develops data scientists, strengthening technical depth and leadership capability.
+ Fosters a culture of innovation, collaboration, and continuous learning within the organization.
+ Enables teams to operate independently by providing clear standards, frameworks, and decision guidelines.
**Required Qualifications**
+ Master's degree or PhD in Data Science, Computer Science, Statistics, Applied Mathematics, Engineering, Operations Research, or a related quantitative field.
+ 10+ years of experience in data science, machine learning, advanced analytics, or AI solution development, with a significant portion in enterprise or industrial environments.
+ Proven track record of leading large-scale, high-impact AI/ML initiatives from strategy through deployment and business adoption.
+ Deep expertise in machine learning, statistical modeling, optimization, and data-driven decision systems.
+ Strong experience developing and deploying production-grade AI/ML solutions in collaboration with engineering and product teams.
+ Demonstrated ability to influence senior leaders and work effectively across complex, matrixed organizations.
+ Experience mentoring technical teams and leading through influence rather than direct authority.
**Desired Characteristics**
+ Strong oral and written communication skills. Strong interpersonal and leadership skills. Demonstrated ability to analyze and resolve problems. Demonstrated ability to lead programs / projects. Ability to document, plan, market, and execute programs. Established project management skills.
**Additional Information**
GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer ( . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
**Relocation Assistance Provided:** No
For candidates applying to a U.S. based position, the pay range for this position is between $138,700.00 and $231,000.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set.
Bonus eligibility: discretionary annual bonus.
This posting is expected to remain open for at least seven days after it was posted on June 26, 2026.
Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.
GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.
GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

**About the Job**
The Digital workforce team is part of Red Hat's Data and AI organization. The team is focused on building and delivering strategic AI agents designed to augment human capabilities, accelerate workflows, and scale operations across the enterprise.
We are seeking a highly experienced Principal Data Scientist to lead our initiatives in natural language processing (NLP), machine learning, and data analytics. The ideal candidate will be passionate about creating and developing applications, particularly within the language sector, and have excellent analytical and machine learning knowledge. The focus of the role will be to transform natural language data and requests into creative and interactive features part of our finance & operations business. If you want to build Next generation AI/ML applications, if you have rock-solid development skills, if you thrive in a start-up like environment, if you think outside of the box and love working in a team with similar minded engineers, if you are creative and want to help solve real world customer problems and love presenting innovative solutions, if you believe in community and OpenSource development culture then we are the TEAM for you.
In this role, you will be the voice of Red Hat's technical authority, creating and delivering features/ capabilities that helps Red Hat's data community and in turn our customers achieve their business and technical goals with Red Hat products effectively. You will work collaboratively with members of the Data and AI team, finance, operations, sales, marketing, and product to construct fit for purpose analytical solutions that will be leveraged by business teams to drive proactive customer engagement.
The successful candidate will have a track record of strong technical skills, drive to be innovative & creative, excellent communication and collaboration skills, a keen attention to detail, and a passion for quality and open source software. If you enjoy broadening your technical skills, and working in an environment that thrives on creativity, experimentation, and community innovation, then this is the job for you!
**What will you do**
+ Lead the research and implementation of advanced algorithms and tools for NLP/GenAI tasks.
+ Drive the development of next-generation AI/ML applications in a highly collaborative environment.
+ Oversee the design, implementation, and delivery of AI solutions.
+ Ensure the successful training and evaluation of NLP models, refining them based on statistical analysis.
+ Collaborate with cross-functional teams, including finance, operations, sales, and marketing, to understand and meet business needs.
**What will you bring**
+ 7+ years of professional experience in NLP, with a strong command of Python and frameworks such as Spacy and Hugging Face.
+ Proven expertise in designing and delivering NLP applications across all stages of the data science lifecycle.
+ Deep understanding of machine learning frameworks and experience in Generative AI application development.
+ Working knowledge of TensorFlow, TensorFlow Serving, Keras, PyTorch.
+ Comfortable working with a small team in a fast-paced, highly collaborative environment
+ Experience with GenAI application development - LLMs, Embedding models, Vector Databases
+ Keep up to date in the rapidly changing field of AI/ML by constantly researching and learning new techniques and information related to NLP.
+ Bachelor's degree or above in Computer Science, Math, Computational Linguistics, or other related fields. Demonstrated experience as an NLP, or experience in a similar role/industry
+ Experience developing highly scalable backend microservices in AWS
Personal qualities and communication
+ Communicate and influence for impact by bringing data to life via clear narratives and/or storytelling
+ Communication skills and experience in interacting with cross functional business and engineering teams
+ Capability in undertaking business needs analysis in direct consultation.
+ Be a self-starter, displaying initiative in seeing needs, building functionality and leading insights for organizational change.
+ Capability to develop a detailed understanding of our business requirements.
+ Excellent communication, presentation, and writing skills
**About Red Hat**
Red Hat ( is the world's leading provider of enterprise open source ( software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.
**Inclusion at Red Hat**
Red Hat's culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.
**Equal Opportunity Policy (EEO)**
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
**Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.**
**Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email** ** ** **. General inquiries, such as those regarding the status of a job application, will not receive a reply.**