DevOps / Platform Engineer

Jobgether; India; A distancia; INR 2.400.000 - 4.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Fully remote employment

AI-driven infra exposure

Autonomy in projects

Descripción de la vacante

Jobgether seeks a DevOps/Platform Engineer based in India to own cloud infrastructure for an AI-native cybersecurity platform. You will manage production environments, build and optimize CI/CD pipelines, and drive observability and security in a remote-first setting.

Ideal candidates combine hands-on cloud expertise with AI-driven automation, able to work autonomously and communicate clearly with global teams. This role offers long-term remote work with team collaboration across borders.

Formación

• Extensive hands-on experience managing production cloud infrastructure across AWS/Azure/GCP.
• Proficient in IaC with Terraform or similar tooling.
• Deep experience with Docker and containerized environments.
• Ownership of CI/CD pipelines from build to release.
• Experience in observability, incident response, and security best practices.
• Daily hands-on use of AI agents and models in engineering workflows.
• Ability to leverage LLMs and AI agents to learn new tech and manage multiple projects.
• Proven track record of owning engineering projects end-to-end.
• Strong customer focus and direct communication with clients.
• High urgency and sound judgment for reprioritization.
• Ability to work autonomously with minimal supervision.
• Clear communication and collaboration across teams.
• Growth mindset and willingness to rethink approaches.
• Trustworthy, accountable, detail-oriented working style.
• Available to work remotely during UK business hours.

Responsabilidades

• Run, maintain, and scale production cloud infrastructure powering the platform.
• Own build, deployment, and release pipelines for Python, C++, and TS apps.
• Design, build, and manage production infra for AI agents with observability and cost controls.
• Lead observability practices and incident response for platform reliability.
• Automate repetitive tasks with AI agents and workflows.
• Take end-to-end ownership of infra projects from requirements to delivery.
• Manage multiple priorities including major projects and AI initiatives.
• Communicate effectively with engineers and customers to resolve issues.
• Identify opportunities to improve infra and processes.
• Set priorities and adapt to changing requirements while maintaining quality.

Conocimientos

AWS

Azure

GCP

CI/CD

AI agents

AI models

LLMs

Project ownership

Customer focus

Urgency

Communication

Collaboration

Growth mindset

Accountability

UK hours

Herramientas

Terraform

Docker

Descripción del empleo

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:

• Run, maintain, and scale production cloud infrastructure supporting a platform that processes terabytes of data daily.
• Own build, deployment, and release pipelines for Python, C++, and TypeScript applications.
• Design, build, and manage production infrastructure for AI agents, incorporating observability, guardrails, and cost controls.
• Lead observability practices and incident response activities to maintain platform reliability.
• Automate repetitive operational tasks and workflows using AI agents.
• Take end-to-end ownership of infrastructure and platform engineering projects, from identifying requirements to delivering solutions.
• Manage multiple priorities, including major engineering projects and smaller AI-driven initiatives.
• Communicate effectively with engineering teams and customers, ensuring technical issues are understood and resolved.
• Identify opportunities to improve infrastructure, engineering processes, and operational efficiency.
• 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:

• Extensive hands‑on experience managing production cloud infrastructure using AWS, Microsoft Azure, or Google Cloud Platform (GCP).
• Practical experience with Infrastructure as Code (IaC), particularly Terraform or equivalent technologies.
• Strong experience with Docker and containerized environments.
• Proven ownership of CI/CD pipelines, including build, deployment, and release processes.
• Experience implementing and managing observability, incident response, and robust security practices.
• Daily, hands‑on experience using AI agents and advanced AI models in engineering workflows.
• Ability to use LLMs and AI agents independently to learn unfamiliar technologies, navigate new codebases, and manage multiple projects effectively.
• Demonstrated ability to own engineering projects from conception through delivery, rather than focusing solely on assigned tickets.
• Strong customer focus, including the ability to communicate directly with customers and take responsibility for resolving their problems.
• High sense of urgency and sound judgment when reprioritizing work to maximize impact.
• Ability to set priorities, make decisions, and deliver results independently without close supervision.
• Strong communication and collaboration skills, with the ability to explain technical decisions and implementation approaches clearly.
• Growth mindset, openness to constructive feedback, and willingness to rethink existing code or approaches when necessary.
• Trustworthy and accountable working style, with strong attention to detail and the ability to identify and communicate problems early.
• Availability to work remotely during UK business hours.

Nice to Have

• Experience with Microsoft Azure, particularly in cloud migration initiatives and Azure Marketplace integration.
• Familiarity with ClickHouse or other data‑intensive platforms.
• Experience operating LLM or AI agent workloads in production environments.
• Scripting experience with Python or Go.
• Familiarity with SOC 2, GDPR, or other regulated environments.

Benefits

• Fully remote, long‑term employment opportunity.
• Opportunity to work on an AI‑native cybersecurity platform operating at significant data scale.
• High degree of autonomy and end‑to‑end ownership of engineering projects.
• Collaboration with a multidisciplinary international engineering team.
• Exposure to advanced AI agents, cloud infrastructure, and modern platform engineering practices.
• Opportunity for professional growth in a remote‑first environment that values employee development and well‑being.