342 Cloud Performance jobs in India
Sr FullStack Developer / Lead (Cloud Performance & Optimization)
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Job Description
We are looking for the right people — people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry.
Job Duties
Under broad direction, designs, codes, tests, trouble-shoots and documents engineering systems applications. Develops test strategies used in the automated regression testing of these systems. Follows secure coding practices, performs triaging of security issues, and implements fixes to deliver secure applications. Familiar with common software vulnerabilities and leading practices to mitigate. Works on large scale, complex projects. Proactively identifies areas for improvement within the software system and development processes and proposes new solutions. Develops assignments and schedules. Job tasks, correctly performed, impact indirectly on cost containment, efficiency, profitability or operations. Requires completion of an undergraduate degree in Computer Science or similar discipline, and a minimum of 7 years of related experience, including software development experience.
Qualifications
Key Responsibilities
- Build scalable, performant, and cost-effective full stack solutions using cloud-native technologies.
- Develop and maintain responsive web applications and backend services with RESTful APIs and microservices architecture.
- Optimize application performance and cloud resource usage to reduce operational costs and improve system efficiency
- Ensure applications are secure, cloud-ready and, aligned with best practices for high availability and fault tolerance
- Implement automated testing and contribute to CI/CD pipelines using Docker, Kubernetes, GitLab, and Jenkins.
- Collaborate with cross-functional teams and follow Agile development practices to deliver high-impact features.
- Mentor junior developers and support their growth while transitioning into a team lead role.
- Provide technical guidance to the Product Owner to align development with product goals and business value.
- Stay updated with emerging technologies and best practices to drive innovation and continuous improvement.
Qualifications
- Bachelor’s degree in Computer Science or related discipline is mandatory.
- Minimum 7+ years of professional software development experience
- Minimum 3+ years of hands-on experience with Angular, Node.js, HTML5, CSS/SASS.
- Mandatory: Proven and demonstrable experience in improving performance and reducing cloud infrastructure costs of complex distributed systems deployed on Kubernetes
- Deep expertise in containerization (Docker), orchestration (Kubernetes), microservices, API integration, and system design.
- Strong understanding of performance profiling, resource utilization analysis and cost-aware architecture decisions in cloud environments (Azure/AWS)
- Solid knowledge of both SQL and NoSQL databases (PostgreSQL, SQL Server, MongoDB).
- Familiarity with C# or Python is preferred.
- Exposure to Agile methodologies and cloud platforms (Azure/AWS).
- Strong communication, problem-solving, and mentoring abilities.
- Oil & Gas domain experience is a plus.
Technical Expertise
- Frontend: Angular (v12–16+), TypeScript, HTML5, CSS/SASS.
- Backend: Node.js (required), C# or Python (preferred), Express, RESTful APIs.
- DevOps and Optimization: Docker, Kubernetes (required), GitLab, Jenkins, Maven, Ansible.
- Proven experience in performance tuning, resource optimization, and cost reduction in Kubernetes environments
- Cloud Platforms: Azure, AWS.
- Testing: JEST, Jasmine, Cypress, Protractor.
- Databases: PostgreSQL, SQL Server, MongoDB, Cassandra.
Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation .
Location
4th Floor, Gardenia 2D, Bengaluru, , ,
Job Details
Requisition Number:
Experience Level: Experienced Hire
Job Family: Support Services
Product Service Line: Landmark Software & Services
Full Time / Part Time: Full Time
Additional Locations for this position:
Compensation Information
Compensation is competitive and commensurate with experience.
Cloud Software Performance Engineer
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Job Description
We are seeking an experienced Cloud Software Performance Engineer who thrives in a dynamic and fast-paced environment. You will be responsible for ensuring performance, scalability, high availability and resilience for our security platform, for both cloud and on-premise environments.Responsibilities: �Define performance considerations and parameters for large-scale deployments and drive performance improvements. �Publish recommendations to tune performance covering functional and operational concerns.�Implement performance measurement scenarios for various deployment models.�Lead performance engineering strategy and implement performance tools, automation and reports.�Identify performance bottlenecks and propose solutions to address these. �Partner with product and engineering teams in technical scoping on cost and complexity of analyzing product performance capabilities, identifying key risks, exploration of technology options, and finalizing design and implementation decisions.�Balance strategic and tactical thinking in maximizing engineering investments in improving performance and scale.�Build infrastructure and systems for monitoring and analyzing complex issues�Improve reliability and resilience of our platform�Measure and optimize system performance, with an eye toward pushing our capabilities forward, getting ahead of customer needs, and innovating to continually improve�Gather and analyze metrics to assist in performance tuning and fault finding�Perform capacity planning and optimization�Proactively spot performance bottlenecks and highlight areas for improvement�Develop performance test automation�Identify opportunities and implement solutions for increased automation, reliability, and/or velocity within the software delivery pipeline through implementation of robust infrastructure telemetry, KPIs, and indicators, and by monitoring and applying industry best practices. �Stay up-to-date with new technologies, industry trends and best practices for performance optimizations and capacity planning�Continuously improve tools, processes, and procedures�Monitor and review resource utilization trends for cost optimization�Bring innovative ideas and solve complex technology problems�Track and improve key performance and productivity indicators �Exhibit behavioral traits that indicate excellent communication and collaboration skills.
Qualifications
You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Minimum Qualifications: bachelor's in computer science or related engineering discipline with 6 or more years of experience in software engineering or IT. 5 or more years of experience with the following: �Improving availability, scalability and resiliency of distributed systems and cloud/SaaS platforms�Coding in one or more programming languages python, golang, Java etc.�Container orchestration technologies such as Kubernetes, AWS EKS, Azure AKS etc.�Performance analysis, optimization, and capacity planning�Performance test automation using JMeter or similar tools. Preferred Qualifications: Experience with the following: �Istio, Kafka, API gateways, Databases�Observability using ElasticSearch, Prometheus, AWS/Azure/GCP tools and/or 3rd party tools such as Dynatrace, Datadog, Splunk etc.�Performance monitoring using APM tools�Infrastructure automation using Helm, Ansible, bash, powershell etc.�Building and Maintaining CI/CD pipelines using GitHub actions and/or Jenkins�AIOps�Canary and blue/green deployments�Chaos Engineering�Cloud cost monitoring and optimization�Site reliability engineering�Supporting production cloud environments�Agile and scrum methodologies
Inside this Business Group
Enable amazing computing experiences with Intel Software continues to shape the way people think about computing – across CPU, GPU, and FPGA architectures. Get your hands on new technology and collaborate with some of the smartest people in the business. Our developers and software engineers work in all software layers, across multiple operating systems and platforms to enable cutting-edge solutions. Ready to solve some of the most complex software challenges? Explore an impactful and innovative career in Software.
Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits
Working Model
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. In certain circumstances the work model may change to accommodate business needs.
Control System Performance Engineer
Posted today
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Job Description
Description
:The opportunity :
Engineering authority in Control System performance for projects/tenders for Flexible A.C. Transmission Systems (FACTS) technology aligned with Power Quality Solutions (PQS) Business.
How you’ll make an impact :
Support developing base solutions of the existing control system of various FACTS converters and new project specific functionalities for the control system dynamic performance of FACTS applications
Responsible for the control system performance throughout the project execution from start to commissioning
Undertake PSCAD and RTDS simulation studies individually or as part of a team to verify control dynamic performance of our FACTS solution.
Participate in verification test of the control dynamic system performance in the Factory Acceptance and Commissioning Tests.
Collaborate cross functionally as well as within the team, train colleagues, and offer technical support throughout the complete delivery of the project.
Support tenders, delivery projects, and R&D activities during control system dynamic performance studies
Making reports out of verification investigations and presenting them to customers.
Understanding customer needs by reading customer specifications and participating in customer meetings.
Coordinate and communicate with all disciplines involved in project and tender deliveries, as well as being in close connection to research and development activities.
Having ambition in learning and sharing critical knowledge in today’s power system and control system of high-power converters for FACTS applications
Responsible to ensure compliance with applicable external and internal regulations, procedures, and guidelines.
Living Hitachi Energy’s core values of safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business.
Your background:
M.Tech. or Ph.D. in Electrical Engineering or similar.
Expert in power systems and control system analysis and have at least 8-10 years of job experience in this field.
Strong knowledge and background in control theories of high-power electronic converters.
Solid knowledge in PSCAD, RTDS, and Hidraw or any equivalent tool to develop control systems that runs in real system installed in field.
Hands-on experience in developing complex control functions in Hitachi Energy’s MACH control systems using Hidraw or in an equivalent C/C++ platform.
Communicate fluently in English.
Ability to work independently, in a team, and to assume responsibility for given task is key to success.
Good communication skills and can work in a dynamic and global environment.
A curious person with the ability to learn quickly and develop in the short and long term.
Qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing a on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process.
This is solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes will not receive a response.
Senior Engineer, System Performance (RAN)
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Job Description
Join our team and help shape the future of connectivity indoors and outdoors. Together, let's push the boundaries of technology and advance sustainable networks worldwide.
How You'll Help Us Connect the World:
We are seeking a Senior RAN System Performance Engineer to join our System Performance team in Bangalore, India. In this role, you will help optimize the performance and customer experience of our 4G LTE and 5G NR small cell products. You'll contribute to Live Air Verification (LAV) activities, evaluate software and hardware releases in real-world environments, and conduct deep-dive analysis to drive continuous performance improvements.
You Will Make an Impact By:
- Developing and executing LAV test strategies and plans for validating new 4G/5G software and hardware releases. li>Performing root cause analysis (RCA) and debugging complex issues using deep-dive analysis of UE (QXDM), eNB/gNB, Wireshark, and core network logs.
- Benchmarking Key Performance Indicators (KPIs) and correlating to RF parameters and system metrics. li>Validating and optimizing new algorithms and features in close collaboration with R&D teams.
- Analyzing RF behavior (cell reselection, handovers, power control, link adaptation, interference mitigation etc.) across small cell and macro environments.
Required Qualifications for Consideration
- < i>Bachelor's degree in Electrical or Computer Engineering (Master's preferred).
- 10+ years of experience in RAN system performance , with strong subject matter expertise in 4G LTE, VoLTE and 5G NR (NSA/SA).
- Deep understanding of 3GPP standards and end-to-end wireless system design.
- Experience working through system performance and product development life cycle of LTE eNB, 5G gNB and/or UE products in R&D engineering teams at infrastructure / chipset product development companies is required.
- End-to-end and in-depth knowledge of PHY, MAC, RLC, PDCP, RRC and NAS layer protocols
- Expert-level end-to-end analysis capabilities of UE side logs, eNB and gNB logs, Wireshark logs and core network logs.
- Proven track record for testing, deep dive troubleshooting and quickly getting to RCA of highly complex end-to-end 4G and 5G issues li>Expertise with defining, measuring Key Performance Indicators (KPIs) and correlation to other metrics and logs to debug and resolve real world performance issues
- Deep technical expertise and understanding of the interaction between small cell and macro cellular networks
- Hands on experience and expertise with wireless data collection tools like QXDM, Wireshark, XCAL, lab equipment such as spectrum analyzer and post processing tools like QCAT, XCAP etc.
- Experience with automation and scripting languages like Perl and Python. li>Expertise in IP and related technologies including TCP, IPv4, IPv6, IPSEC, Routing protocols, Networking protocols, Security Protocols, SIP. li>Effective communication skills and ability to collaborate in agile, cross-functional environments.
Why ANDREW?
Explore exciting career opportunities at ANDREW, part of the Amphenol family. With a legacy of over 85 years in wireless innovation, we empower mobile operators and enterprises with cutting-edge solutions.
ANDREW, an Amphenol company, is proud of our reputation as an excellent employer. Our focus is to provide the highest level of support and responsiveness to both our employees and our customers, the world's largest technology companies. ANDREW offers the opportunity for career growth within a global organization. We believe that our company is unique in that every employee, regardless of his or her position can positively impact the business.
ANDREW is an "Equal Opportunity Employer" - Minority/Female/Disabled/Veteran/Sexual Orientation/Gender Identity/National Origin
For additional company information please visit our website at
AppDynamics SME & Performance Optimization(Cloud & Enterprise Solutions)
Posted today
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Job Description
Job Summary:
Synechron is seeking a knowledgeable and experienced AppDynamics SME to lead application performance monitoring initiatives across multiple projects. The role involves providing technical expertise, optimizing application performance, and ensuring compliance with industry standards. The SME will collaborate with development, operations, and testing teams to implement best practices, troubleshoot issues, and drive continuous improvement, ultimately contributing to reliable, high-performing software solutions aligned with organizational goals.
Software Requirements:
Overall Responsibilities:
Technical Skills (By Category):
Experience Requirements:
Day-to-Day Activities:
Qualifications:
Professional Competencies:
Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.
All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
Senior Cloud Engineer - High Performance Computing Storage
Posted 17 days ago
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Job Description
1
About the position:
Job Description Summary:
Delivers High Performance Computing (HPC) application and infrastructure solutions that support complex, compute intensive workloads, parallel filesystems, low latency networks, artificial intelligence (AI), and machine learning (ML).
About Chevron IT
The Information Technology function empowers all of Chevron to harness the benefits of information and digital technologies to drive competitive advantage.
Our thirteen IT digital platforms maximize value creation by empowering teams to accelerate innovation, capitalize on scale, drive efficiency and reduce duplication, and speed access to quality data to unlock opportunities across business units and functions. Organized around business capabilities and digital products, the digital platforms span Chevron's global integrated oil and gas value chain.
Our Business Units partner with the enterprise digital platforms to drive effective engagement between IT and all of Chevron with a clear focus on efficiently delivering better, faster results.
Our IT Engineering personnel chapters offer a flexible staffing and assignment model that allows us to bring the right skills when and where they are needed -- and ensure we are focusing on efforts that drive the highest business priorities.
The Global Capability Center (GCC) IT department contains platform teams who are members of the four Petro technical digital platforms and IT Foundation Platform including Surface, Subsurface, Wells (Drilling), and Health, Safety, Environment (HSE), and IT Foundation Digital (ITFP). These teams operate in a matrix environment with priorities determined by global Product Owners and Product Managers.
About This Position:
The Global Capability Center (GCC) Cloud Engineer - HPC Storage is a key technical engineer accountable for delivery and support of products and services to Chevron workforce. The product team is part of the HPC Product line within the IT Foundation Digital Platform. This Product line is responsible for digital delivery and support of HPC products and services to the Chevron Enterprise. The expectation for this role is 5-10 years of relevant experience.
Key responsibilities:
The Role: As a Cloud Engineer - HPC-Storage you are responsible for providing application and infrastructure solutions that support complex, compute intensive workloads, parallel filesystems, low latency networks, artificial intelligence (AI), and machine learning (ML).
The successful candidate will partner with scientists, engineers, and other HPC PL experts to deliver HPC solutions that fully leverage the computing resources on premises and in the cloud.
Responsibilities
- Design, implementation, and support of NetApp storage systems,
- Administration of Azure NetApp files and Cloud Volumes ONTAP,
- Administration of on-prem and cloud-hosted Linux systems.
- Implementation of automation of system management, maintenance, and monitoring.
- Troubleshooting, incident, and problem management.
- Performance monitoring and optimization.
Required Qualifications:
Technical Knowledge and Skills- The preferred candidate will have knowledge and at least 5 years experience in Linux, Cloud, and NetApp storage system administration experience in a large-scale enterprise environment plus one or more of the following areas: Azure NetApp Files (ANF), Cloud Volumes ONTAP (CVO), parallel file systems (e.g., Lustre), Azure virtual machines, Azure networking, underlying infrastructure supporting Oil and Gas applications, and configuration management technologies (e.g., Ansible, PowerShell, Python, and Azure).
- Bachelor's degree in Computer Science, Information Systems, or comparable field
Chevron participates in E-Verify in certain locations as required by law.
Chevron Corporation is one of the world's leading integrated energy companies. Through its subsidiaries that conduct business worldwide, the company is involved in virtually every facet of the energy industry. Chevron explores for, produces and transports crude oil and natural gas; refines, markets and distributes transportation fuels and lubricants; manufactures and sells petrochemicals and additives; generates power; and develops and deploys technologies that enhance business value in every aspect of the company's operations. Chevron is based in Houston, Texas. More information about Chevron is available at .
Chevron is an Equal Opportunity / Affirmative Action employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status, or other status protected by law or regulation.
Cloud Infrastructure
Posted today
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Job Description
• Provide security expertise and guidance to a diverse set of Couchbase engineering and business teams
• Conduct security reviews of Couchbase Cloud corporate and production infrastructure
• Build security tools and processes using Go for critical infrastructure protection, monitoring, and remediation.
• Build and expand our APIs and services, written in Go
• Key technologies this role will employ: Go (Golang), Kubernetes, AWS, Azure, GCP, Burp Suite, Nmap, Grafana, Prometheus, Alert Manager, Thanos, Terraform, Vault, Couchbase Server, Datadog.
• Collaborate with other engineers across the stack to deliver delightful user experiences
• Monitor, troubleshoot, and improve system security, stability, reliability, and performance.
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Cloud Infrastructure Architect
Posted 10 days ago
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Job Description
Cloud IaaS Architect with SaaS & MLOps Expertise
Position: Cloud Infrastructure Architect (IaaS/SaaS, Data & MLOps)
Experience Required: 12–15 Years
Location: Noida
Employment Type: Full-Time
About the Role
We are seeking a highly experienced Cloud Infrastructure Architect with strong expertise in IaaS, SaaS enablement, Data Consolidation, and MLOps . The ideal candidate will be responsible for designing and delivering enterprise-grade cloud architectures that integrate infrastructure, applications, and data platforms to support AI/ML-driven business transformation. This role requires a balance of deep technical architecture skills , hands-on engineering experience , and strategic leadership in building modern, cloud-native platforms.
Key Responsibilities
Cloud Architecture & Delivery (IaaS & SaaS)
- Design, architect, and implement cloud-native IaaS platforms (AWS, Azure, GCP).
- Enable SaaS capabilities including multi-tenancy, subscription management, security, and compliance.
- Define infrastructure-as-code (IaC) patterns using Terraform, Ansible, or CloudFormation.
- Architect scalable, secure, and resilient cloud platforms for enterprise applications.
- Drive cost optimization, governance, and automation of cloud environments.
Data Consolidation & Management
- Lead design of data consolidation strategies across structured, semi-structured, and unstructured sources.
- Implement data lakes, lakehouses, and data pipelines to unify enterprise data.
- Ensure compliance with data security, governance, and lineage requirements.
- Enable enterprise analytics and AI/ML workloads through consolidated data platforms.
MLOps & AI/ML Enablement
- Architect and implement MLOps frameworks for model training, deployment, monitoring, and lifecycle management.
- Integrate AI/ML workflows with data lakes, vector databases, and cloud-native pipelines .
- Collaborate with data scientists and ML engineers to operationalize models at scale.
- Build CI/CD for ML (CI/CD/CT) pipelines ensuring reproducibility and scalability.
Collaboration & Leadership
- Partner with application teams, data engineers, and business stakeholders to deliver cloud transformation programs.
- Provide technical leadership and mentorship for cross-functional cloud engineering teams.
- Define best practices, reference architectures, and guardrails for cloud, data, and MLOps delivery .
- Act as a trusted advisor to CXOs on cloud adoption and AI-driven innovation .
Required Skills & Experience
- 12–15 years of IT experience, with at least 5+ years as a Cloud Architect .
- Strong expertise in IaaS platforms (VMs, networking, storage, Kubernetes, security) on AWS/Azure/GCP.
- Proven experience in SaaS solution design (multi-tenancy, subscription management, API-first architectures).
- Deep understanding of data consolidation (data lakes, warehouses, ETL/ELT, integration platforms).
- Strong MLOps expertise (Kubeflow, MLflow, Vertex AI, SageMaker, Azure ML, Airflow).
- Hands-on skills with IaC & automation (Terraform, Ansible, Helm, GitOps).
- Knowledge of DevOps & CI/CD for cloud and AI workloads.
- Strong understanding of cloud security, compliance, and cost management .
- Familiarity with vector and graph databases for AI-driven use cases a plus.
Preferred Qualifications
- Cloud certifications: AWS Solutions Architect Professional, GCP Professional Cloud Architect, or Azure Solutions Architect Expert .
- MLOps/AI certifications: TensorFlow, PyTorch, or vendor-specific AI/ML certifications .
- Experience in multi-cloud and hybrid architectures .
- Industry domain exposure in BFSI, Healthcare, Retail, or Telecom .
Education
- Bachelor’s or Master’s in Computer Science, Engineering, or related fields .
- Advanced certifications in Cloud, Data, or AI/ML highly desirable.
Why Join Us
- Lead enterprise-wide cloud and AI transformations with next-gen architectures.
- Work on cutting-edge SaaS, MLOps, and cloud-native solutions .
- Collaborate with global teams and CXOs on high-impact projects.
- Competitive compensation, benefits, and career advancement opportunities.
Think global. Think BIG.
Visit us:
Linkedin:
Cloud Infrastructure Architect
Posted 3 days ago
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Job Description
Cloud IaaS Architect with SaaS & MLOps Expertise
Position: Cloud Infrastructure Architect (IaaS/SaaS, Data & MLOps)
Experience Required: 12–15 Years
Location: Noida
Employment Type: Full-Time
About the Role
We are seeking a highly experienced Cloud Infrastructure Architect with strong expertise in IaaS, SaaS enablement, Data Consolidation, and MLOps. The ideal candidate will be responsible for designing and delivering enterprise-grade cloud architectures that integrate infrastructure, applications, and data platforms to support AI/ML-driven business transformation. This role requires a balance of deep technical architecture skills, hands-on engineering experience, and strategic leadership in building modern, cloud-native platforms.
Key Responsibilities
Cloud Architecture & Delivery (IaaS & SaaS)
- Design, architect, and implement cloud-native IaaS platforms (AWS, Azure, GCP).
- Enable SaaS capabilities including multi-tenancy, subscription management, security, and compliance.
- Define infrastructure-as-code (IaC) patterns using Terraform, Ansible, or CloudFormation.
- Architect scalable, secure, and resilient cloud platforms for enterprise applications.
- Drive cost optimization, governance, and automation of cloud environments.
Data Consolidation & Management
- Lead design of data consolidation strategies across structured, semi-structured, and unstructured sources.
- Implement data lakes, lakehouses, and data pipelines to unify enterprise data.
- Ensure compliance with data security, governance, and lineage requirements.
- Enable enterprise analytics and AI/ML workloads through consolidated data platforms.
MLOps & AI/ML Enablement
- Architect and implement MLOps frameworks for model training, deployment, monitoring, and lifecycle management.
- Integrate AI/ML workflows with data lakes, vector databases, and cloud-native pipelines.
- Collaborate with data scientists and ML engineers to operationalize models at scale.
- Build CI/CD for ML (CI/CD/CT) pipelines ensuring reproducibility and scalability.
Collaboration & Leadership
- Partner with application teams, data engineers, and business stakeholders to deliver cloud transformation programs.
- Provide technical leadership and mentorship for cross-functional cloud engineering teams.
- Define best practices, reference architectures, and guardrails for cloud, data, and MLOps delivery.
- Act as a trusted advisor to CXOs on cloud adoption and AI-driven innovation.
Required Skills & Experience
- 12–15 years of IT experience, with at least 5+ years as a Cloud Architect.
- Strong expertise in IaaS platforms (VMs, networking, storage, Kubernetes, security) on AWS/Azure/GCP.
- Proven experience in SaaS solution design (multi-tenancy, subscription management, API-first architectures).
- Deep understanding of data consolidation (data lakes, warehouses, ETL/ELT, integration platforms).
- Strong MLOps expertise (Kubeflow, MLflow, Vertex AI, SageMaker, Azure ML, Airflow).
- Hands-on skills with IaC & automation (Terraform, Ansible, Helm, GitOps).
- Knowledge of DevOps & CI/CD for cloud and AI workloads.
- Strong understanding of cloud security, compliance, and cost management.
- Familiarity with vector and graph databases for AI-driven use cases a plus.
Preferred Qualifications
- Cloud certifications: AWS Solutions Architect Professional, GCP Professional Cloud Architect, or Azure Solutions Architect Expert.
- MLOps/AI certifications: TensorFlow, PyTorch, or vendor-specific AI/ML certifications.
- Experience in multi-cloud and hybrid architectures.
- Industry domain exposure in BFSI, Healthcare, Retail, or Telecom.
Education
- Bachelor’s or Master’s in Computer Science, Engineering, or related fields.
- Advanced certifications in Cloud, Data, or AI/ML highly desirable.
Why Join Us
- Lead enterprise-wide cloud and AI transformations with next-gen architectures.
- Work on cutting-edge SaaS, MLOps, and cloud-native solutions.
- Collaborate with global teams and CXOs on high-impact projects.
- Competitive compensation, benefits, and career advancement opportunities.
Think global. Think BIG.
Visit us:
Linkedin:
Cloud Infrastructure Architect
Posted today
Job Viewed
Job Description
Cloud IaaS Architect with SaaS & MLOps Expertise
Position: Cloud Infrastructure Architect (IaaS/SaaS, Data & MLOps)
Experience Required: 12–15 Years
Location: Noida
Employment Type: Full-Time
About the Role
We are seeking a highly experienced Cloud Infrastructure Architect with strong expertise in IaaS, SaaS enablement, Data Consolidation, and MLOps . The ideal candidate will be responsible for designing and delivering enterprise-grade cloud architectures that integrate infrastructure, applications, and data platforms to support AI/ML-driven business transformation. This role requires a balance of deep technical architecture skills , hands-on engineering experience , and strategic leadership in building modern, cloud-native platforms.
Key Responsibilities
Cloud Architecture & Delivery (IaaS & SaaS)
- Design, architect, and implement cloud-native IaaS platforms (AWS, Azure, GCP).
- Enable SaaS capabilities including multi-tenancy, subscription management, security, and compliance.
- Define infrastructure-as-code (IaC) patterns using Terraform, Ansible, or CloudFormation.
- Architect scalable, secure, and resilient cloud platforms for enterprise applications.
- Drive cost optimization, governance, and automation of cloud environments.
Data Consolidation & Management
- Lead design of data consolidation strategies across structured, semi-structured, and unstructured sources.
- Implement data lakes, lakehouses, and data pipelines to unify enterprise data.
- Ensure compliance with data security, governance, and lineage requirements.
- Enable enterprise analytics and AI/ML workloads through consolidated data platforms.
MLOps & AI/ML Enablement
- Architect and implement MLOps frameworks for model training, deployment, monitoring, and lifecycle management.
- Integrate AI/ML workflows with data lakes, vector databases, and cloud-native pipelines .
- Collaborate with data scientists and ML engineers to operationalize models at scale.
- Build CI/CD for ML (CI/CD/CT) pipelines ensuring reproducibility and scalability.
Collaboration & Leadership
- Partner with application teams, data engineers, and business stakeholders to deliver cloud transformation programs.
- Provide technical leadership and mentorship for cross-functional cloud engineering teams.
- Define best practices, reference architectures, and guardrails for cloud, data, and MLOps delivery .
- Act as a trusted advisor to CXOs on cloud adoption and AI-driven innovation .
Required Skills & Experience
- 12–15 years of IT experience, with at least 5+ years as a Cloud Architect .
- Strong expertise in IaaS platforms (VMs, networking, storage, Kubernetes, security) on AWS/Azure/GCP.
- Proven experience in SaaS solution design (multi-tenancy, subscription management, API-first architectures).
- Deep understanding of data consolidation (data lakes, warehouses, ETL/ELT, integration platforms).
- Strong MLOps expertise (Kubeflow, MLflow, Vertex AI, SageMaker, Azure ML, Airflow).
- Hands-on skills with IaC & automation (Terraform, Ansible, Helm, GitOps).
- Knowledge of DevOps & CI/CD for cloud and AI workloads.
- Strong understanding of cloud security, compliance, and cost management .
- Familiarity with vector and graph databases for AI-driven use cases a plus.
Preferred Qualifications
- Cloud certifications: AWS Solutions Architect Professional, GCP Professional Cloud Architect, or Azure Solutions Architect Expert .
- MLOps/AI certifications: TensorFlow, PyTorch, or vendor-specific AI/ML certifications .
- Experience in multi-cloud and hybrid architectures .
- Industry domain exposure in BFSI, Healthcare, Retail, or Telecom .
Education
- Bachelor’s or Master’s in Computer Science, Engineering, or related fields .
- Advanced certifications in Cloud, Data, or AI/ML highly desirable.
Why Join Us
- Lead enterprise-wide cloud and AI transformations with next-gen architectures.
- Work on cutting-edge SaaS, MLOps, and cloud-native solutions .
- Collaborate with global teams and CXOs on high-impact projects.
- Competitive compensation, benefits, and career advancement opportunities.
Think global. Think BIG.
Visit us:
Linkedin: