Council on Energy, Environment and
Water (CEEW), New Delhi
DevOps
Engineer - Tech and AI
Terms of reference
At CEEW, we are deliberate about what we stand
for (and what we don’t stand for!) as an employer. If the description below
resonates with you, we would love to hear from you!
· We offer strong visionary
leadership – with emphasis on research and impact at scale
· We actively promote leadership by
initiative
· We celebrate talent and ambition
· You will be surrounded by smart
people who will challenge you and help you grow
· You will learn faster than your
peers in other organisations
· Curiosity and irreverence, as well
as responsibility, come together at CEEW
· You will get above-market
remuneration
· We provide a safe space for all
· At CEEW, your life is your example
for others
Designation offered
DevOps Engineer: AI & Geospatial Platforms
Focus area
Technology & AI
New Delhi, India
Duration:
Full- Time
Job duties and accountabilities
Infrastructure
& Cloud Operations
● Design,
provision, and maintain cloud infrastructure (GCP/AWS) for AI, geospatial, and
data-intensive workloads across the Tech & AI portfolio
● Manage
compute environments for ML training, inference, and large-scale satellite data
processing (Dask/Coiled, Vertex AI, GPU/TPU workloads)
● Optimise
cloud spend through right-sizing, autoscaling, spot/preemptible usage, and
storage lifecycle policies
● Maintain
data pipeline infrastructure for geospatial ETL (NetCDF/Zarr/GeoTIFF), vector/graph
databases, and RAG/agentic systems
CI/CD &
Release Engineering
● Build
and own CI/CD pipelines (GitHub Actions / GitLab CI) for backend services, ML
models, dashboards, and data pipelines
● Establish
containerisation standards using Docker and orchestration via Kubernetes /
Cloud Run
Observability,
Reliability & Security
● Set
up monitoring, logging, and alerting stacks (Cloud Logging, Sentry) across
applications, APIs, and ML services
● Implement
security controls: IAM, secrets management (Vault / Secret Manager),
vulnerability scanning, network policies
Data Platform
Support
● Support
API infrastructure for platforms like CRAVIS — gateway, rate limiting,
authentication, versioning
● Partner
with AI, geospatial, and product teams to unblock environment, deployment, and
scaling issues
Selection Criteria
Qualification
Educational
· 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
Must Have (Hands-on
Experience)
· 4+ years operating production cloud infrastructure on
GCP or AWS
· Strong hands-on with Docker, Kubernetes
· Solid scripting in Python and Bash; comfort with Linux
internals and networking
· Experience building and maintaining CI/CD pipelines
for both application and data/ML workloads, working knowledge of observability
tooling
· Experience managing PostgreSQL/PostGIS or similar
databases in production
Preferred
· Experience supporting ML/AI workloads, GPU
provisioning, 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: vector
databases, embedding pipelines, observability for agents
· Experience with government cloud or DPI-aligned
deployments
· Prior work in climate tech, public-data systems, or
mission-driven organisations
Compensation
Competitive compensation – commensurate with
the experience and matching the best of the standards adopted by the industry
or other similar organisations for similar roles.
Application Process
CEEW is an equal-opportunity employer, and the
selection process does not discriminate on the basis of age, gender, caste,
ethnicity, religion, or sexuality. Female candidates are encouraged to apply.
Applications will be reviewed on a rolling
basis. Interested applicants are advised to apply at the earliest possible
time.
Only shortlisted candidates will be notified by
us. We appreciate your interest.
