145 Aws Devops Engineer jobs in Delhi
AWS Devops Engineer
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About the Role:
Grade Level (for internal use):
10
The Team
The Financial Risk Analytics (FRA) Cloud Development and Operation team develops, maintains , and supports deployments for our Risk as a Service offering. It maintains all infrastructure and cloud native aspects of the solution.
The Impact
As part of the FRA Cloud team, you will help develop, maintain , and secure the 24/7 infrastructure our clients depend on for their business operations.
Whats in it for you- As part of a team with a broad engineering and operational mandate, there are multiple directions to grow your career.
- You will be part of a global team supporting a global customer base.
- You will be exposed to the latest technologies as we continually refine our deployments to take advantage of them.
Responsibilities- Building AWS infrastructure as code to support our hosted offering.
- Identifying , documenting, and tracking software defects to resolution
- Continuous improvement of infrastructure components, cloud security, and reliability of services.
- Automation of end-to-end release cycle.
- Operational support for cloud infrastructure including incident response and maintenance.
What Were Looking For- Experience with Amazon Web Services (AWS).
- Exp - 5+ years
- Experience with container-based deployment technologies such as Amazon ECS, Amazon EKS.
- Experience with Infrastructure as Code technologies such as CloudFormation and Terraform.
- Development skills with Python and/or Bash.
- Strong collaboration skills in a team environment.
- Excellent written and verbal communication skills
About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction.For more information, visit .
Whats In It For
You
Our Purpose:
Our People:
Were more than 35,000 strong worldwideso were able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
Our Values:
Integrity, Discovery, Partnership
At S&P Global, we focus on Powering Global Markets. Throughout our history, the worlds leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of
integrity in all we do, bring a spirit of
discovery to our work, and collaborate in close
partnership with each other and our customers to achieve shared goals.
Benefits:
We take care of you, so you can take care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global.
- Health & WellnessHealth care coverage designed for the mind and body.
- Flexible DowntimeGenerous time off helps keep you energized for your time on.
- Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills.
- Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
- Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
- Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference.
For more information on benefits by country visit
Global Hiring and Opportunity at S&P Global:
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
Equal Opportunity Employer
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email toand your request will be forwarded to the appropriate person.
US Candidates Only: The EEO is the Law Poster describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision -
IFTECH Middle Professional Tier I (EEO Job Group)
Cloud Engineer
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Qualifications
- Proficiency in Cloud Computing and Infrastructure management
- Experience with Software Development and Linux systems
- Knowledge of Databases and their management
- Excellent problem-solving and analytical skills
- Ability to work effectively as part of a team and independently
- Bachelor's degree in Computer Science, Information Technology, or related field
- Relevant certifications in cloud technologies are a plus
Cloud Engineer
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Job Description:
* Work Exp: 4- 6 years
Skill Required: full-stack/backend engineering experience, with Java and related technologies, with more focus on Springboot (it's a plus if you have worked with Quarkus, Kafka, Solace, Redis, Aerospike, Cloud AWS/Google/Azure)
* Good to have - experience in building APIs, experience working with enterprises, experience in financial services.
Mandatory Skills
Java, spring boot, kafka, Quarkus, kubernetes, Docker
Cloud Engineer
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Key Responsibilities
AWS Cloud Engineering
- Design and implement secure, scalable AWS infrastructure solutions (VPC, EC2, S3, IAM, CloudFront, RDS, Lambda, AWS Backup, AWS System manager, etc.)
- Lead AWS cloud migration and modernization initiatives
- Lift and shift Migration Tool experience on AWS Application Discovery Service (ADS), AWS MGN (Application Migration Service), and AWS DMS (Database Migration Service)
- Implement cloud-native patterns using services such as ECS, EKS, and Fargate
- Ensure security, cost optimization, and governance across AWS accounts
DevOps Engineering
- Design CI/CD pipelines using AWS CodePipeline, CodeBuild, CodeDeploy or third-party tools (e.g., GitHub Actions, Jenkins)
- Implement infrastructure as code using Terraform, AWS CloudFormation, or CDK
- Setup monitoring, alerting, and observability using CloudWatch, AWS X-Ray, and third-party tools
- Collaborate with development teams to automate deployments and improve release velocity
- Ensure high availability, disaster recovery, and performance tuning
Cloud Engineer
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Roles and Responsibilities:
- Design, deploy, and manage infrastructure using a broad set of AWS services including VPC, IAM, RDS, EC2, ECS, S3, Bedrock, CloudWatch, EFS, MQ, OpenSearch, ElastiCache, ECR, CodeArtifact, Lambda, Route53, CloudTrail, and ELB.
- Operate and scale multi-region, production-facing applications, ensuring high availability, fault tolerance, and DR readiness.
- Implement DevOps & DevSecOps practices with automation-first approaches for deployments, security, compliance, and monitoring.
- Manage Infrastructure as Code (IaC) using Terraform and Ansible.
- Leverage containerization & orchestration tools such as Docker, Docker Compose, and Kubernetes.
- Administer and optimize Linux systems (Ubuntu/Debian), focusing on performance, security, and automation.
- Build and maintain CI/CD pipelines with GitHub Actions (preferred) or Jenkins.
- Develop Python, Bash, and Shell scripts for automation, tooling, and system orchestration.
- Implement and manage network configurations including LAN, WAN, IPv4/IPv6, VPNs, site-to-site connectivity, and firewalls.
- Leverage monitoring and observability tools such as Grafana, AWS CloudWatch, and APM solutions (New Relic, Datadog – nice to have).
- Work with Airflow for workflow orchestration and data pipeline automation.
- Ensure compliance with SOC2 standards and manage cloud DR/backup strategies.
- Collaborate with cross-functional teams, providing technical guidance, troubleshooting, and performance optimization.
- Explore AI-assisted engineering tools (Codex, Cursor, GitHub Copilot) to improve development and automation efficiency.
Required Skills & Qualifications:
- 1-3 years of experience in DevOps, Cloud Engineering, or related fields.
- Proven track record of managing AWS services at scale in production environments.
- Expertise in Terraform, Ansible, and IaC practices.
- Strong Linux administration skills (Ubuntu/Debian preferred).
- Hands-on experience with Docker, Docker Compose, and Kubernetes for container orchestration.
- Proficiency in scripting languages (Python, Bash, Shell).
- Experience with CI/CD pipelines (GitHub Actions preferred).
- Knowledge of networking fundamentals (LAN, WAN, IPv4, IPv6, VPNs, Firewalls).
- Experience operating multi-node Elasticsearch & Kibana clusters.
- Strong problem-solving and troubleshooting abilities.
- Excellent communication and collaboration skills.
Nice to Have:
- Exposure to AI/ML-based productivity tools for DevOps workflows.
- Hands-on experience with APM tools such as New Relic or Sentry.
- Experience managing on-premise rack servers in hybrid environments.
Cloud Engineer
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Objectives of this role
- Lead the end-to-end development cycle of AI applications, from conceptualization and prototyping to deployment and optimization, with a core focus on LLM-driven solutions.
- Architect and implement highly performant and scalable AI services, effectively integrating with GCP's comprehensive AI/ML ecosystem.
- Collaborate closely with product managers, data scientists, and MLOps engineers to translate complex business requirements into tangible, AI-powered features.
- Continuously research and apply the latest advancements in LLM technology, prompt engineering, and AI frameworks to enhance application capabilities and performance.
# Responsibilities
- Develop and deploy production-grade AI applications and microservices primarily using Python and FastAPI, ensuring robust API design, security, and scalability.
- Design and implement end-to-end LLM pipelines, encompassing data ingestion, processing, model inference, and output generation.
- Utilize Google Cloud Platform (GCP) services extensively, including Vertex AI (Generative AI, Model Garden, Workbench), Cloud Functions, Cloud Run, Cloud Storage, and BigQuery, to build, train, and deploy LLMs and AI models.
- Expertly apply prompt engineering techniques and strategies to optimize LLM responses, manage context windows, and reduce hallucinations.
- Implement and manage embeddings and vector stores for efficient information retrieval and Retrieval-Augmented Generation (RAG) patterns.
- Work with advanced LLM orchestration frameworks such as LangChain, LangGraph, Google ADK, and CrewAI to build sophisticated multi-agent systems and complex AI workflows.
- Integrate AI solutions with other enterprise systems and databases, ensuring seamless data flow and interoperability.
- Participate in code reviews, establish best practices for AI application development, and contribute to a culture of technical excellence.
- Keep abreast of the latest advancements in GCP AI/ML services and broader AI/ML technologies, evaluating and recommending new tools and approaches.
# Required skills and qualifications
- Two or more years of hands-on experience as an AI Engineer with a focus on building and deploying AI applications, particularly those involving Large Language Models (LLMs).
- Strong programming proficiency in Python, with significant experience in developing web APIs using FastAPI.
- Demonstrable expertise with Google Cloud Platform (GCP), specifically with services like Vertex AI (Generative AI, AI Platform), Cloud Run/Functions, and Cloud Storage.
- Proven experience in prompt engineering, including advanced techniques like few-shot learning, chain-of-thought prompting, and instruction tuning.
- Practical knowledge and application of embeddings and vector stores for semantic search and RAG architectures.
- Hands-on experience with at least one major LLM orchestration framework (e.g., LangChain, LangGraph, CrewAI).
- Solid understanding of software engineering principles, including API design, data structures, algorithms, and testing methodologies.
- Experience with version control systems (Git) and CI/CD pipelines.
Preferred skills and qualifications
Bachelor’s or Master's degree in Computer Science
Good to have:
Experience with MLOps practices for deploying, monitoring, and maintaining AI models in production.
Understanding of distributed computing and data processing technologies.
Contributions to open-source AI projects or a strong portfolio showcasing relevant AI/LLM applications.
Excellent analytical and problem-solving skills with a keen attention to detail.
Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders
Cloud Engineer
Posted 1 day ago
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Required Qualifications:
Experience: 5+ years of experience in IT systems administration, with at least 3 years in a senior role focused exclusively on Google Workspace.
Technical Expertise: Expert-level proficiency in the Google Workspace Admin Console and a deep understanding of its core services and security features.
Deployment Skills: Demonstrable experience planning and executing GWS service rollouts, policy changes, and data migrations in an enterprise environment.
Automation: Proven, hands-on experience using GAM or other scripting tools (App Script, Python, PowerShell) for GWS automation.
Troubleshooting: Strong analytical and problem-solving skills, with a track record of resolving complex technical incidents.
Preferred Qualifications:
Certification: Google Workspace Professional Collaboration Engineer certification is highly desirable.
Identity Management: Experience integrating Google Workspace with third-party Ident ity Providers (IdPs) like Okta or Azure AD.
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Cloud Engineer
Posted 1 day ago
Job Viewed
Job Description
Required Qualifications:
Experience: 5+ years of experience in IT systems administration, with at least 3 years in a senior role focused exclusively on Google Workspace.
Technical Expertise: Expert-level proficiency in the Google Workspace Admin Console and a deep understanding of its core services and security features.
Deployment Skills: Demonstrable experience planning and executing GWS service rollouts, policy changes, and data migrations in an enterprise environment.
Automation: Proven, hands-on experience using GAM or other scripting tools (App Script, Python, PowerShell) for GWS automation.
Troubleshooting: Strong analytical and problem-solving skills, with a track record of resolving complex technical incidents.
Preferred Qualifications:
Certification: Google Workspace Professional Collaboration Engineer certification is highly desirable.
Identity Management: Experience integrating Google Workspace with third-party Ident ity Providers (IdPs) like Okta or Azure AD.
Cloud Engineer
Posted 1 day ago
Job Viewed
Job Description
Required Qualifications:
Experience: 5+ years of experience in IT systems administration, with at least 3 years in a senior role focused exclusively on Google Workspace.
Technical Expertise: Expert-level proficiency in the Google Workspace Admin Console and a deep understanding of its core services and security features.
Deployment Skills: Demonstrable experience planning and executing GWS service rollouts, policy changes, and data migrations in an enterprise environment.
Automation: Proven, hands-on experience using GAM or other scripting tools (App Script, Python, PowerShell) for GWS automation.
Troubleshooting: Strong analytical and problem-solving skills, with a track record of resolving complex technical incidents.
Preferred Qualifications:
Certification: Google Workspace Professional Collaboration Engineer certification is highly desirable.
Identity Management: Experience integrating Google Workspace with third-party Ident ity Providers (IdPs) like Okta or Azure AD.