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Birlasoft Limited

Technical Lead-DevOps

Birlasoft Limited Pune, Maharashtra, India

IT Services and IT Consulting · 10,001+ employees

Oct 07
devops Principal (10+ yrs) Full-time India
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About the role

The Technical Lead will architect and govern enterprise-grade DevOps frameworks, CI/CD pipelines, and containerized data platform infrastructure. They will also provide technical leadership for Snowflake administration, security compliance, and data transformation layers using DBT and Airflow.

What they look for

DevOps Kubernetes Jenkins Snowflake DBT Airflow CI/CD Cloud Architecture Containerization Data Engineering SSL/TLS Management RBAC Data Pipelines Infrastructure Governance Git

Requirements

Candidates must have 12+ years of experience in Data Engineering and Enterprise Data Platforms with deep expertise in Jenkins, Kubernetes, and data orchestration tools. Strong knowledge of CI/CD, Git branching strategies, and security-first architecture is required.

Full description

Area(s) of responsibility

.DevOps Architect – Data & Cloud Platforms

Location: Offshore India Experience: 12+ Years Employment Type: Full-time

Job Summary

We are seeking an experienced DevOps Architect (12+ years of experience) to lead the design, implementation, and governance of enterprise-grade DevOps and Data Platform infrastructure. This role will be responsible for architecting scalable CI/CD frameworks, containerized deployments, secure cloud-native environments, and enterprise data operations across Snowflake and Data coves (DBT + Airflow). The ideal candidate will combine deep DevOps expertise with strong data platform experience and security-first architecture thinking.

Key Responsibilities

1. DevOps Architecture & Strategy

  • Define and implement enterprise DevOps architecture, standards, and best practices.
  • Design highly scalable and resilient CI/CD frameworks using Jenkins.
  • Provide technical leadership, governance, and mentoring to DevOps and Data Engineering teams.

2. Kubernetes & Containerization

  • Architect and manage containerized workloads using Kubernetes.
  • Design Kubernetes cluster strategy (multi-namespace, multi-environment, HA, auto-scaling).
  • Optimize container orchestration for Airflow and related data services.

3. Data coves (DBT + Airflow) Platform Architecture

  • Architect and govern DBT transformation layers:
  • Staging models
  • Intermediate models
  • Data marts
  • Implement:
  • Incremental models
  • Snapshot strategies for historical tracking
  • Surrogate key management
  • Establish testing, lineage, and observability standards for data pipelines.

4. Snowflake Administration & Optimization

  • Lead Snowflake platform administration including:
  • Role-based access control (RBAC)
  • Secure data sharing

5. Security & SSL Management

  • Architect and manage SSL/TLS certificate lifecycle management.
  • Implement certificate rotation, renewal automation, and secure endpoint configurations.
  • Ensure secure communication between services, APIs, and data platforms.
  • Enforce encryption standards for data at rest and in transit.
  • Collaborate with InfoSec teams to meet enterprise compliance requirements.

Required Qualifications

  • 12+ years of experience in Data Engineering and Enterprise Data Platforms.
  • Deep hands-on expertise in:
  • Jenkins (Pipeline as Code, shared libraries, distributed builds)
  • Kubernetes (cluster architecture, scaling, security)
  • Data coves (DBT + Airflow orchestration)
  • Strong knowledge of CI/CD, Git branching strategies, and release management.

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