DevOps / Platform Engineer

About the role

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

The DevOps / Platform Engineer will take ownership of the cloud infrastructure powering an AI-native cybersecurity platform that processes terabytes of data every day. You will help build, maintain, and scale reliable production environments while improving deployment efficiency and operational performance. Working within a multidisciplinary engineering team, you will have significant autonomy and responsibility for critical infrastructure projects. The role combines cloud engineering, CI/CD ownership, observability, incident response, and AI-driven automation. You will also help build and operate production infrastructure for AI agents, with a focus on security, reliability, and cost control. This is an opportunity for a mid-to-senior engineer to make a direct impact in a remote-first, AI-focused engineering environment.

Accountabilities As a DevOps / Platform Engineer, you will be responsible for the reliability, scalability, and continuous improvement of production infrastructure. You will own projects from initial requirements through implementation and delivery, collaborating with engineering colleagues and customers to achieve meaningful results. Your responsibilities will include:

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Run, maintain, and scale production cloud infrastructure supporting a platform that processes terabytes of data daily.

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Own build, deployment, and release pipelines for Python, C++, and TypeScript applications.

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Design, build, and manage production infrastructure for AI agents, incorporating observability, guardrails, and cost controls.

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Lead observability practices and incident response activities to maintain platform reliability.

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Automate repetitive operational tasks and workflows using AI agents.

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Take end-to-end ownership of infrastructure and platform engineering projects, from identifying requirements to delivering solutions.

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Manage multiple priorities, including major engineering projects and smaller AI-driven initiatives.

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Communicate effectively with engineering teams and customers, ensuring technical issues are understood and resolved.

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Identify opportunities to improve infrastructure, engineering processes, and operational efficiency.

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Make informed decisions about priorities and adapt quickly to changing requirements while maintaining delivery quality.

Requirements

The ideal candidate is a technically strong, autonomous engineer who combines hands-on cloud infrastructure expertise with a proactive approach to problem-solving. You should be comfortable taking responsibility for complex projects, using AI tools as part of your daily workflow, and delivering results in a collaborative remote environment. The following qualifications and competencies are expected: