Bahadurgarh Haryana Devops engineer Jobs – 25 Open Jobs Today

DevOps Engineer - Tech and AI
Council on Energy, Environment and Water —Delhi, Delhi
- Full-time
- Computer Science
- DevOps
- Master's degree
Sr. Site Reliability Engineer (SRE)
Codeguardian Tech International Pvt Ltd. —Delhi, Delhi
- Weekend availability
- Computer Science
- Software troubleshooting
- DevOps
Quick apply
9d
BIG DATA DEV OPS ENGINEER
Gtropy Systems —Delhi, Delhi
- DevOps
- Scripting
- Linux
Staff AI Agentic Automation Platform Engineer
Educational Testing Service (ETS) —Delhi, Delhi
- Full-time
- Azure
- Computer Science
- DevOps
- Paid time off
Quick apply
3d

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Sr. Site Reliability Engineer (SRE)
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DevOps Engineer - Tech and AI

Council on Energy, Environment and Water -
Delhi, Delhi

Apply Now

Job details

Full-time

Qualifications

CI/CD
Cloud infrastructure
Law
Computer Science
Kubernetes
PostGIS
DevOps
Git
Master's degree
Bash (Unix shell)
Databases
AWS
Docker
Bachelor's degree
GeoServer
PostgreSQL
Continuous integration
Computer networking
GitHub
APIs
B.E.
Linux
AI
GitLab
Graph databases
Python
Identity & access management

Full job description

At CEEW, we are deliberate about what we stand for as an employer. So, if the below description strikes a chord, we would love to hear from you!

At CEEW, we build careers in public policy

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

Team/ Focus area
Technology & AI

Location
New Delhi

Duration
Full Time

Job Duties and Accountabilities

Primary responsibilities

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. We appreciate your interest.

Apply Now

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devops engineer jobs in bahadurgarh haryana

DevOps Engineer - Tech and AI

Sr. Site Reliability Engineer (SRE)

BIG DATA DEV OPS ENGINEER

Staff AI Agentic Automation Platform Engineer

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