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DevOps Engineer

Data Direct Networks·Salary not specified

Primary stack

HelmKubernetesGoPythonTerraform

Nice to have's

GPU-accelerated computeHPC-style infrastructurehigh-velocity release cyclesincident response

Job description

About the Position

DevOps Engineer

Pune Office

As a Staff Engineer – Infrastructure Engineering & DevOps, you will play a key technical leadership role in designing, building, and evolving our hybrid infrastructure and developer platforms. You’ll work hands-on across cloud automation, high-performance bare-metal systems, and DevOps tooling to deliver reliable, scalable infrastructure that accelerates software delivery.

This role is highly cross-functional. You will collaborate closely with Development, DevOps, and QA teams to solve infrastructure and release challenges, support delivery cycles, and continuously improve platform capabilities. You’ll balance strong technical execution with architectural influence, contributing to system design while remaining directly involved in implementation and operational support.

Occasional in-person meetings or team events may be required.

Responsibilities

  • Infrastructure & Platform Engineering

    • Contribute to the design and evolution of hybrid infrastructure systems (cloud + bare metal)
    • Build and enhance internal tools and automation to improve scalability, reliability, and cost efficiency
    • Implement and maintain infrastructure-as-code practices, platform APIs, and shared tooling
    • Support system designs that enable multi-tenant workloads, observability, and auditability
  • Engineering Collaboration & Delivery Support

    • Partner with Dev, DevOps, and QA teams to resolve infrastructure or deployment blockers during release cycles
    • Provide technical guidance and mentorship to DevOps and platform engineers
    • Participate in architectural reviews, release readiness checkpoints, and root-cause analyses
  • Software Build & Release Pipelines

    • Design, implement, and operate build and release pipelines for hybrid environments, including GPU-based bare-metal systems
    • Improve test orchestration, staging workflows, and artifact delivery pipelines
    • Integrate automation with infrastructure-level controls for access, audit, and security compliance

Requirements

  • Required Qualifications

    • 10+ years of experience in infrastructure, platform, or DevOps engineering roles
    • Strong programming skills (e.g., Python, Go)
    • Hands-on experience with hybrid infrastructure (cloud + bare metal)
    • Deep knowledge of infrastructure-as-code tools (Terraform, Helm, Kubernetes)
    • Proven cross-functional collaboration skills
  • Preferred Qualifications

    • Experience with GPU-accelerated compute or HPC-style infrastructure
    • Familiarity with platform engineering or developer experience optimization
    • Experience with high-velocity release cycles and incident response

We Offer

  • Competitive salary
  • Opportunity to work in a dynamic and innovative environment
  • Participation in an on-call rotation to provide after-hours support as needed

About the Company

[Company description if present]

© Data Direct Networks. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

DataDirect Networks (DDN.com) is a world leader in massively-scalable storage platforms and solutions engineered for the Big Data and Cloud era. Our storage, processing solutions and professional services enable content-rich and high-data growth environments to achieve the highest levels of systems performance, scalability and efficiency.In solving today’s Big Data lifecycle management challenges at scale, DDN enables organizations to maximize the value of their information, everywhere. As the technology behind the world’s leading data-driven organizations, our customers include online content and social networking providers, high performance cloud and grid computing, life sciences, financial services, media production houses and security and intelligence agencies.

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