Senior DevOps Engineer (UDP)

DTDL group.

Hinoba-an

On-site

PHP 1,000,000 - 2,000,000

Full time

9 days ago

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Job summary

DTDL group. seeks a Senior Developer to build and evolve CI/CD frameworks for Data & AI Platform teams on Google Cloud. You will design reusable pipelines, templates, and automation to enable multi-environment deployments and self-service capabilities.

You will work hands-on with Python and Go, collaborating with data engineers, AI/ML engineers, and platform teams to promote scalable, reusable platform solutions and maintain engineering standards.

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.
Strong experience with GitLab and GitLab CI/CD pipeline design.
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.

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, 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.

Skills

CI/CD design

GCP Data Services

Python

GitLab

GitLab CI/CD

Data Engineering

Batch processing

Streaming workloads

Orchestration

Platform Engineering

Reusable tooling

Tools

GitLab

GitLab CI/CD

Python

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.