DevOps / Platform Engineer

This is a fully remote position, open to applicants in India.

📋 Description

• Manage, maintain, and enhance the production cloud infrastructure that supports a platform handling terabytes of data each day.

• Take ownership of the build, deployment, and release pipelines for applications developed in Python, C++, and TypeScript.

• Construct and oversee production infrastructure for AI agents, ensuring observability, guardrails, and cost management are in place.

• Be responsible for observability and incident response to uphold platform reliability.

• Automate repetitive operational tasks utilizing AI agents.

• Lead infrastructure and platform engineering projects from inception to delivery, including requirements gathering.

• Juggle multiple priorities, which include two major projects and additional AI-driven assignments.

• Collaborate with engineers from Backend, DevOps, Endpoint, Frontend, and Design teams.

• Report directly to the VP of Engineering and AI.

⛳️ Requirements

• Extensive, hands-on experience in managing production cloud infrastructure utilizing AWS, Microsoft Azure, or Google Cloud Platform (GCP).

• Practical knowledge of Infrastructure as Code (IaC) through tools like Terraform or similar technologies.

• Hands-on experience with Docker and containerized environments.

• Proven track record of owning CI/CD pipelines, encompassing build, deployment, and release procedures.

• Experience in implementing and overseeing observability, incident response, and stringent security practices.

• Regular, hands-on application of AI agents and advanced AI models in engineering workflows.

• Capability to autonomously use LLMs and AI agents to learn new technologies, navigate unfamiliar codebases, and manage multiple projects.

• Ability to independently oversee engineering projects from initiation to completion.

• Strong customer orientation with a readiness to communicate directly with clients.

• A high sense of urgency with the ability to adjust priorities as necessary.

• Competence in setting priorities independently, making informed decisions, and delivering outcomes with minimal supervision.

• A growth mindset with receptiveness to constructive feedback.

• Trustworthy and accountable, with a keen attention to detail and proactive problem identification.

• Ability to articulate technical decisions and engineering solutions clearly.

• Capacity to work remotely during UK working hours.

• Preferred: Experience with Microsoft Azure, ClickHouse or similar data-intensive platforms, production LLM or AI agent workloads, Python or Go scripting, and familiarity with SOC 2, GDPR, or other regulated environments.

🏝️ Benefits

• Full-time, long-term position.

• Remote-first working environment.

• Authentic community focused on growth and well-being.

• Opportunities for global team collaboration.

• Autonomy in a high-impact role.