DevOps Engineer

Council on Energy, Environment and Water; India; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Council on Energy, Environment and Water (CEEW) in New Delhi seeks a seasoned DevOps Engineer to advance our Tech & AI portfolio. You will design, deploy and optimize cloud infrastructure (GCP/AWS) for ML workloads, build robust CI/CD pipelines, and ensure reliability, security, and observability across platforms.

You will collaborate with AI, geospatial, and product teams to unblock deployments, manage data pipelines, and scale systems to meet research-driven impact.

Qualifications

• B.E./B.Tech in Computer Science, IT, or equivalent from a reputed engineering institute.
• Relevant certifications (GCP Professional DevOps Engineer, AWS DevOps, CKA) preferred.
• 4+ years operating production cloud infrastructure on GCP or AWS.

Responsibilities

• Infrastructure & Cloud Operations: design, provision, and maintain cloud infrastructure for AI/ML workloads.
• CI/CD & Release Engineering: build and own CI/CD pipelines and container orchestration.
• Observability, Reliability & Security: set up monitoring, logging, and security controls across applications and ML services.
• Data Platform Support: support API infrastructure and scale issues with AI/geospatial teams.

Skills

Python scripting

Bash scripting

Linux fundamentals

Networking basics

CI/CD workflows

Observability tooling

Education

BE/B.Tech in Computer Science or IT

Certifications: GCP Professional DevOps Engineer, AWS DevOps, CKA

Tools

Docker

Kubernetes

GitHub Actions

GitLab CI

PostgreSQL/PostGIS

Cloud Run

Vertex AI / GCP ML tooling

Job description

Council on Energy, Environment and Water | Full time

Council on Energy, Environment andWater (CEEW), New Delhi

DevOpsEngineer - Tech and AI

Terms of reference

At CEEW, we are deliberate about what we standfor (and what we don’t stand for!) as an employer.

At CEEW, we build careers in public policy

• We offer strong visionaryleadership – with emphasis on research and impact at scale
• We actively promote leadership byinitiative
• We celebrate talent and ambition
• You will be surrounded by smartpeople who will challenge you and help you grow
• You will learn faster than yourpeers in other organisations
• Curiosity and irreverence, as wellas responsibility, come together at CEEW
• You will get above-marketremuneration
• We provide a safe space for all
• At CEEW, your life is your examplefor others

Designation offered

Focus area

Location

Duration

Full- Time

Job duties and accountabilities

Infrastructure& Cloud Operations

• Design,provision, and maintain cloud infrastructure (GCP/AWS) for AI, geospatial, anddata-intensive workloads across the Tech & AI portfolio
• Managecompute environments for ML training, inference, and large-scale satellite dataprocessing (Dask/Coiled, Vertex AI, GPU/TPU workloads)
• Optimisecloud spend through right-sizing, autoscaling, spot/preemptible usage, andstorage lifecycle policies
• Maintaindata pipeline infrastructure for geospatial ETL (NetCDF/Zarr/GeoTIFF), vector/graphdatabases, and RAG/agentic systems

CI/CD &Release Engineering

• Buildand own CI/CD pipelines (GitHub Actions / GitLab CI) for backend services, MLmodels, dashboards, and data pipelines
• Establishcontainerisation standards using Docker and orchestration via Kubernetes /Cloud Run

Observability,Reliability & Security

• Setup monitoring, logging, and alerting stacks (Cloud Logging, Sentry) acrossapplications, APIs, and ML services
• Implementsecurity controls: IAM, secrets management (Vault / Secret Manager),vulnerability scanning, network policies

Data PlatformSupport

• SupportAPI infrastructure for platforms like CRAVIS — gateway, rate limiting,authentication, versioning
• Partnerwith AI, geospatial, and product teams to unblock environment, deployment, andscaling issues

Selection Criteria

Qualification

Educational

• B.E./B.Tech in Computer Science, IT, or equivalentfrom a reputed engineering institute. Relevant certifications (GCP ProfessionalDevOps Engineer, AWS DevOps, CKA) preferred

Must Have (Hands-onExperience)

• 4+ years operating production cloud infrastructure onGCP or AWS
• Strong hands-on with Docker, Kubernetes
• Solid scripting in Python and Bash; comfort with Linuxinternals and networking
• Experience building and maintaining CI/CD pipelinesfor both application and data/ML workloads, working knowledge of observabilitytooling
• Experience managing PostgreSQL/PostGIS or similardatabases in production

Preferred

• Experience supporting ML/AI workloads, GPUprovisioning, model serving (Vertex AI Endpoints, AWS Boto), MLOps tools(MLflow, Weights & Biases)
• Familiarity with geospatial data stacks (PostGIS,GeoServer, TiTiler, COG/Zarr workflows)
• Exposure to LLM/agentic infrastructure: vectordatabases, embedding pipelines, observability for agents
• Experience with government cloud or DPI-aligneddeployments
• Prior work in climate tech, public-data systems, ormission-driven organisations

Compensation

Competitive compensation – commensurate with the experience and matching the best of the standards adopted by the industryor other similar organisations for similar roles.

CEEW is an equal-opportunity employer, and theselection process does not discriminate on the basis of age, gender, caste,ethnicity, religion, or sexuality. Female candidates are encouraged to apply.