DevOps Engineer-II

DTDL group.

Gurugram District

On-site

INR 2,400,000 - 4,200,000

Full time

14 days+

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Job summary

DTDL group in India Gurugram seeks a Senior Developer to help build and evolve CI/CD frameworks used by our Data and AI Platform teams. This role focuses on reusable platform capabilities rather than one-off projects.

You will design reusable pipelines and templates for Data & AI workloads on Google Cloud Platform, writing production-quality code in Python and Go, and collaborating with data engineers and platform teams to enable scalable deployments.

Qualifications

Strong experience designing and building CI/CD frameworks for platform or engineering teams.
Expert-level knowledge of Google Cloud Platform and hands-on experience with GCP data services.
Deep experience with Dataproc, BigQuery, Dataform, Cloud Composer, GCS, Dataflow, Bigtable, Spanner.
Strong experience with GitLab and GitLab CI/CD pipeline design.
Experience designing CI/CD pipelines for data platforms, analytics workloads, or AI/ML platform teams.
Strong application development experience with Python.
Hands-on development experience with Go.
Ability to build reusable frameworks, deployment templates, automation utilities, and engineering standards.

Responsibilities

Build Platform CI/CD Frameworks.
Design and develop reusable GitLab CI/CD frameworks for Data and AI platform teams.
Create reusable pipeline templates, deployment workflows, validation steps, and automation standards that can be adopted across projects and environments.
Build self-service deployment capabilities and golden-path engineering workflows for Data & AI teams.
Enable GCP Data Platform Deployments.
Build deployment patterns and automation for core GCP data services including: Dataproc, BigQuery, Dataform, Cloud Composer, Google Cloud Storage, Dataflow, Bigtable, Cloud Spanner.
Enable teams to deploy, configure, and operate these services through reliable and repeatable CI/CD processes.
Design frameworks supporting multi-environment and multi-tenant deployment patterns.
Support Data Pipeline Delivery by designing CI/CD workflows for batch, streaming, transformation, orchestration, and environment-specific releases.
Work with engineering teams to improve how data pipelines are built, tested, promoted, and deployed across environments.
Develop Internal Tools and Automation using Python and Go.
Focus on reducing repetitive work, improving developer experience, and making platform capabilities easier to adopt.
Apply software engineering best practices including testing, modular design, versioning, and maintainability to platform tooling and frameworks.

Skills

CI/CD framework design

Cloud platform expertise

Python development

Go development

Tools

GitLab

GitLab CI/CD

Deployment automation

Job description

Platform Engineering | Google Cloud | Data & AI Enablement

We are looking for a Senior Developer to help build and evolve the CI/CD frameworks used by our Data and AI Platform teams.

This role is focused on building reusable platform capabilities rather than one-off project-specific implementations.

You will work closely with data engineers, AI/ML engineers, and platform teams to design reusable pipelines, automation frameworks, deployment patterns, and self-service engineering capabilities for modern data and AI workloads on Google Cloud Platform.

The right person for this role is hands-on, comfortable writing production-quality code, and has a strong understanding of both cloud services and CI/CD engineering practices.

You should be able to take complex platform requirements and turn them into scalable, reusable frameworks that engineering teams can easily adopt.

Key Responsibilities

Build Platform CI/CD Frameworks
Design and develop reusable GitLab CI/CD frameworks for Data and AI platform teams.
Create reusable pipeline templates, deployment workflows, validation steps, and automation standards that can be adopted across projects and environments.
Build self-service deployment capabilities and golden-path engineering workflows for Data & AI teams.
Enable GCP Data Platform Deployments
Build deployment patterns and automation for core GCP data services including:
- Dataproc
- BigQuery
- Dataform
- Cloud Composer
- Google Cloud Storage
- Dataflow
- Bigtable
- Cloud Spanner
Enable teams to deploy, configure, and operate these services through reliable and repeatable CI/CD processes.
Design frameworks supporting multi-environment and multi-tenant deployment patterns.
Support Data Pipeline Delivery
Design CI/CD workflows for:
- Batch data pipelines
- Streaming workloads
- Transformation logic
- Orchestration workflows
- Environment-specific releases
Work with engineering teams to improve how data pipelines are built, tested, promoted, and deployed across environments.
Develop Internal Tools and Automation
Build platform tools, APIs, CLIs, scripts, and reusable libraries using Python and Go.
Focus on reducing repetitive work, improving developer experience, and making platform capabilities easier for teams to adopt.
Apply software engineering best practices including testing, modular design, versioning, and maintainability to platform tooling and frameworks.
Partner with Engineering Teams
Work closely with data, AI, platform, and infrastructure teams to understand engineering challenges and convert them into scalable platform solutions.
Help define practical standards for:
- Pipeline design
- Deployment automation
- Release management
- Operational readiness
- CI/CD governance

Must-Have Qualifications

Strong experience designing and building CI/CD frameworks for platform or engineering teams.
Expert-level knowledge of Google Cloud Platform and hands-on experience with GCP data services.
Deep experience with:
- Dataproc
- BigQuery
- Dataform
- Cloud Composer
- GCS
- Dataflow
- Bigtable
- Spanner
Strong experience with GitLab and GitLab CI/CD pipeline design.
Experience designing CI/CD pipelines for data platforms, analytics workloads, or AI/ML platform teams.
Strong understanding of data pipeline design including:
- Batch processing
- Streaming architectures
- Orchestration
- Transformation workflows
- Environment promotion
Strong application development experience with Python.
Hands-on development experience with Go.
Ability to build reusable frameworks, deployment templates, automation utilities, and engineering standards.
Experience working with cross-functional engineering teams in platform, DevOps, or cloud engineering environments.