Your role at Kittl As a Senior DevOps Engineer on Kittl’s Platform team, you will help build and evolve the reliable, secure, and cost-efficient foundation that enables our product teams to ship quickly in an AI-driven environment. You will work across our cloud infrastructure (AWS/GCP), Kubernetes (EKS), CI/CD pipelines, observability, and platform security to improve release confidence and operational excellence. In this role, you will partner closely with engineers across backend, frontend, data, and AI teams to remove operational bottlenecks, improve developer workflows, and standardize how services are built, deployed, and operated. This is a hands-on role with clear impact, directly contributing to outcomes such as more reliable CI pipelines, faster incident detection, and improved infrastructure cost visibility. What you'll do Improve CI reliability & developer productivity: Reduce flaky pipelines and shorten feedback loops across CI/CD systems to improve developer experience and delivery speed Strengthen observability & incident readiness: Build actionable dashboards, alerts, and SLOs for key user journeys to help teams detect, diagnose, and resolve issues faster Operate and evolve our Kubernetes platform: Manage and improve our AWS EKS environment, ensuring safe deployments, runtime reliability, and scalable infrastructure Drive infrastructure automation: Expand infrastructure-as-code practices using Pulumi and TypeScript; build reusable platform primitives and self-service patterns for engineering teams Improve security & governance: Strengthen access management, secrets handling, and secure defaults across infrastructure and engineering workflows Optimize infrastructure costs: Identify major cost drivers such as data transfer, compute usage, and logging; improve cost visibility and ownership across teams What you’ll need Kubernetes & cloud expertise: At least 5 years production experience running Kubernetes on AWS (EKS) and troubleshooting distributed systems CI/CD expertise: Solid experience with CI/CD systems (GitHub Actions or similar) and a track record of improving pipeline reliability Infrastructure as Code: Experience with Pulumi, Terraform, or similar tools and building reusable infrastructure patterns Observability knowledge: Practical experience with metrics, logging, tracing, and monitoring tools such as Grafana Security mindset: Understanding of IAM, access control, secrets management (e.g., Vault), and secure operational practices Collaborative approach: Comfortable working cross-functionally and driving technical initiatives from ambiguity to measurable outcomes Interview process Recruiter interview (30 min) Technical interview I (60 min) Technical interview II (60 min) Interview with CTO (30 min) & cross-functional team interview (30 min) Bar raiser interview with Head of Data (45 min) Our core tech stack: AWS, Kubernetes, Pulumi, Docker, Argo CD, GitHub Actions, Prometheus, Grafana, PostgreSQL, Redis, TypeScript/Node.js You'll do well here if 🎉 You pick up problems nobody assigned you. If something's broken and no one has stepped up, you're the person who does You'd rather make the call and adjust than wait until you're certain. Velocity is the only advantage that can't be copied You want to own a domain deeply enough that people rely on your judgement in it, whether or not you manage anyone You'll argue for your position and commit fully when the call goes the other way You care about details other people would call excessive. Our standards are higher than most people think is reasonable, on purpose You use AI constantly and still own every word you ship It's probably not the right fit if 🥺 You need consensus before you move You'd rather specialise narrowly than own a whole problem end to end You find it draining to have your thinking challenged in the open. We do that a lot, and it's sometimes uncomfortable Every new hire should raise the bar in some meaningful way, not just fill a seat. We hold to that, and it's why you'll be working with the most talented people from all over the world.