DevOps Platform Engineer (Remote)Straight from Smart Working’s careers page. Apply on the company site — no recruiter, no middleman.
DevOps / Platform Engineer (Remote, Full-Time) [AS348]
Team: Engineering
Location: India, Delhi NCR, Indore, Bangalore, Hyderabad, Chandigarh, Pune
Commitment: Full-Time | Remote
Workplace Type: remote
About Smart Working
At Smart Working, we believe your job should not only look right on paper but also feel right every day. This isn’t just another remote opportunity - it’s about finding where you truly belong, no matter where you are. From day one, you’re welcomed into a genuine community that values your growth and well-being. Our mission is simple: to break down geographic barriers and connect skilled professionals with outstanding global teams and products for full-time, long-term roles. We help you discover meaningful work with teams that invest in your success, where you’re empowered to grow personally and professionally.
Join one of the highest-rated workplaces on Glassdoor and experience what it means to thrive in a truly remote-first world.
About the Role
As a DevOps / Platform Engineer, you will play a key role in supporting and scaling the cloud infrastructure behind an AI-native cybersecurity platform that processes terabytes of data daily. You will take end-to-end ownership of critical infrastructure and contribute to the reliability, scalability and operational efficiency of the platform.
You will join an engineering team of 14+ professionals across Backend, DevOps, Endpoint, Frontend and Design, reporting to the VP of Engineering and AI. The team operates with a flat structure and a single-owner model, where engineers independently own their discipline within each project while collaborating closely with others.
This role suits a mid-to-senior engineer who thrives on autonomy, embraces AI-assisted engineering and wants to deliver high-impact solutions.
Responsibilities
- 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.
- Build and manage production infrastructure for AI agents, incorporating observability, guardrails and cost controls.
- Take ownership of observability and incident response to maintain platform reliability.
- Automate repetitive operational work using AI agents.
- Take end-to-end ownership of infrastructure and platform engineering projects, from identifying requirements through to delivery.
- Manage multiple priorities, including two major projects alongside smaller AI-driven tasks, while maintaining effective communication and collaboration.
Requirements
- Deep, hands-on experience managing production cloud infrastructure, with expertise in AWS, Microsoft Azure or Google Cloud Platform (GCP).
- Practical experience with Infrastructure as Code (IaC), using Terraform or equivalent technologies.
- Hands-on experience with Docker and containerised environments.
- Proven ownership of CI/CD pipelines, including build, deployment and release processes.
- Experience implementing and managing observability, incident response and rigorous security practices.
- Daily, hands-on use of AI agents and frontier AI models as part of engineering workflows.
- Demonstrated ability to use LLMs and AI agents autonomously to learn unfamiliar technologies, navigate unfamiliar codebases and manage multiple projects effectively.
- Ability to independently own engineering projects from start to finish rather than simply completing assigned tickets.
- Strong customer focus, including willingness to communicate directly with customers and take ownership of solutions until customer problems are resolved.
- A high sense of urgency, with the judgement to reprioritise work and focus on delivering the greatest impact.
- Ability to set priorities independently, make decisions and deliver results without close supervision while maintaining consistent communication and collaboration.
- A growth mindset, with openness to constructive criticism, willingness to discard or rethink existing code and projects, and commitment to improving the wider team.
- A trustworthy and accountable approach, demonstrating honesty, attention to detail, early identification of problems and consistent delivery.
- Ability to explain technical decisions, implementation approaches and engineering solutions clearly, demonstrating genuine technical understanding.
- Ability to work remotely during UK working hours.
Nice to Have
- Experience with Microsoft Azure, particularly relevant to cloud migration initiatives and Azure Marketplace integration.
- Experience working with ClickHouse or other data-intensive platforms.
- Experience running Large Language Model (LLM) or AI agent workloads in production.
- Scripting experience with Python or Go.
- Familiarity with SOC 2, GDPR or other regulated environments.
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