Technical Lead-DevOps

Birlasoft

Pune District

Remote

INR 4,500,000 - 6,500,000

Full time

12 days ago

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Job summary

Birlasoft, a leading technology services company, is seeking an experienced DevOps Architect (12+ years) to lead the design, implementation, and governance of enterprise-grade DevOps and Data Platform infrastructure in an Offshore India setup.

The role focuses on scalable CI/CD, containerized deployments, secure cloud-native environments, and data operations across Snowflake and DBT + Airflow, with strong emphasis on security-first architecture and leadership for DevOps and Data Engineering

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.

Responsibilities

  • Define and implement enterprise DevOps architecture, standards, and best practices.
  • Design scalable CI/CD frameworks using Jenkins.
  • Provide technical leadership to DevOps and Data Engineering teams.
  • Architect and manage containerized workloads with Kubernetes.
  • Architect and govern DBT + Airflow data pipelines and transformations.
  • Lead Snowflake platform administration and RBAC and data security considerations.

Skills

Jenkins
Kubernetes
DBT
Airflow

Job 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
  • 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.
  • 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.
  • 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.
  • Snowflake Administration & Optimization
  • Lead Snowflake platform administration including:
    • Role-based access control (RBAC)
    • Secure data sharing
  • 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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