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Lead DevOps Engineer (m/f/d)

icon building Company : Jobgether
icon briefcase Job Type : Full Time

Number of Applicants

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Job Description - Lead DevOps Engineer (m/f/d)










This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead DevOps Engineer (m/f/d) based in India.


You will join a high-scale, mission-critical engineering environment where infrastructure is treated as a core product powering one of the most demanding real-time advertising platforms in the world. This role goes far beyond traditional DevOps and focuses on building fully automated, self-healing systems capable of handling massive distributed workloads with sub-millisecond latency. You will design and operate infrastructure across globally distributed data centers processing petabytes of data and billions of daily requests. The role blends deep systems engineering, automation, and platform reliability with strong leadership responsibilities. You will work closely with engineering, data, and product teams to ensure performance, uptime, and scalability at extreme scale. This is a hands-on leadership position ideal for someone who thrives in complex, high-performance distributed systems environments.










Accountabilities:



  • Lead the design and implementation of automated infrastructure provisioning pipelines to manage large-scale bare-metal environments across global data centers, ensuring consistency, reliability, and scalability.

  • Build and maintain infrastructure automation systems using tools such as Terraform, Ansible, Puppet, or Chef to enable standardized and repeatable deployments.

  • Oversee operations, monitoring, and incident response, including security monitoring, system recovery, and resolution of hardware and software failures in high-availability environments.

  • Manage infrastructure maintenance activities such as OS patching, system upgrades, performance tuning, capacity optimization, and lifecycle management of distributed systems.

  • Ensure observability and system health through monitoring and alerting platforms, leveraging tools such as Prometheus, Grafana, and related observability stacks.

  • Collaborate with engineering teams to optimize system performance, including load balancing, network tuning, and low-latency architecture improvements.

  • Provide technical leadership, mentor engineers, and contribute to scaling DevOps practices, operational excellence, and cross-team collaboration.


Requirements



  • 8+ years of experience in DevOps, systems engineering, infrastructure operations, or site reliability engineering roles in large-scale distributed environments.

  • At least 2+ years of proven experience in technical leadership or team management roles.

  • Strong hands-on expertise in Linux/Unix systems administration, scripting (Shell, Python, or Java), and SQL.

  • Experience with infrastructure automation tools such as Terraform, Ansible, Puppet, or Chef for managing large-scale systems.

  • Deep understanding of networking concepts including L4/L7 load balancing (HAProxy, Nginx) and TCP/IP performance optimization.

  • Strong experience with CI/CD and orchestration tools such as Jenkins, Airflow, or similar platforms.

  • Hands-on experience with observability tools such as Prometheus, Grafana, or InfluxDB.

  • Exposure to Kubernetes is a strong advantage.

  • Ability to work in rotational shifts and participate in on-call incident response when required.

  • Strong analytical mindset with the ability to troubleshoot complex distributed systems under pressure.


Benefits



  • Fully remote-first setup with flexibility to work from anywhere in India

  • Direct reporting line to senior leadership, including CTO-level exposure

  • High-impact role in a globally scaled, high-performance engineering environment

  • Annual learning and development budget to support continuous growth

  • Home-office setup allowance to enable productive remote work

  • Strong career growth opportunities in a rapidly scaling technical organization

  • Collaborative, international team across multiple geographies and engineering disciplines.


How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!


 

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

 

 

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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