Senior Platform Engineer

Workist Com — Germany · Posted ~3 hours ago

Senior Full-time

Skills

Platform engineering Kubernetes Azure AKS Cloud infrastructure Production operations Staging environments ML infrastructure Infrastructure security Observability Cost optimization Incident response Infrastructure roadmap planning Azure Azure OpenAI LLM GPU Infrastructure

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Summary ✨ AI‑Generated

An AI-focused technology company is hiring a Senior Platform Engineer to own the infrastructure supporting intelligent software agents across two cloud environments. Responsibilities include managing Kubernetes clusters for production, staging, and machine learning workloads; improving deployment pipelines; and ensuring security, observability, and cost efficiency. You will define the platform roadmap, handle operational challenges, and influence engineering strategy while reporting to the CTO.

Highlights

Own the complete platform supporting AI workloads across multiple cloud environments. Shape the infrastructure roadmap, influence engineering decisions, and work on cloud-native systems involving Kubernetes, AI services, security, observability, and cost efficiency. Report directly to the CTO.

Description

Your role with us As Senior Platform Engineer, you own the platform that Workist's AI agents run on: two clouds, the Kubernetes clusters for production, staging and ML workloads, and the path from merge request to production for every service we ship. You decide how this platform evolves, you keep it secure, observable and cost-efficient, and you extend it as the product grows. Most recently that meant an LLM gateway with region failover in front of our Azure OpenAI deployments, and performing GPU capacity planning for our own models. You set your own roadmap. Infrastructure at Workist is run as quarterly themes that you propose, make the case for and deliver, and roughly a third of your time goes to whatever the week brings: an incident, a pentest finding, a developer whose deployment is stuck and needs a second pair of eyes. You report to our CTO and are the voice of the platform in engineering decisions. How We Build And Run Things Everything runs on Kubernetes (Azure AKS), deployed with Helm and GitOps/Flux. All infrastructure is Terraform, applied through CI.CI/CD for every service on GitLabManaged services wherever they keep life simple: Postgres, OpenSearch, Redis, blob storage. We self-host only where it clearly pays off.Two clouds: Azure as our primary cloud, AWS for search and mail ingestion.Python everywhere: read and fix application code when that is where the fix belongs.Security is routine: automated scanning in every pipeline, regular external pentests, quarterly backup and disaster-recovery tests. Your Responsibilities Own the platform Own the architecture of our cloud environments across Azure and AWS: how subscriptions, networks, identities and environments are structured and stay isolatedDesign and deliver the platform capabilities the product needs next, from GPU capacity and an LLM gateway to new environmentsSet the standard for how we run Kubernetes and our managed data services: capacity planned ahead of growth, changes and upgrades rolled out safely and routinely, costs kept in check Keep it quiet Own the security posture end to end: least-privilege access, network isolation, findings from scanners and pentests, and a patch cadence that runs itself. Be a technical counterpart for audits and security questionnairesOwn observability and alerting so that every alert is worth acting on, and lead the response to platform incidents including the follow-up fixesRun quarterly backup/restore and disaster-recovery tests, and close what they reveal Make the team faster Own the path from merge request to production: fast builds, reliable deployments, environments and access on demandBuild the infrastructure behind our AI models: the LLM gateway, model deployments with region failover, GPU capacity, and whatever the next model needs What this looked like recently: a Redis instance that silently dropped half of its new TCP connections and took the Celery workers down with it, region failover and load balancing for our Azure OpenAI deployments, moving our clusters from nginx ingress to the Kubernetes Gateway API. Your profile We're looking for a professional team player who thrives in an environment where we share knowledge openly and push each other to deliver the best possible outcome. What you bring: You have run production infrastructure for years, ideally as the person who owned it end to end rather than one of many in a large ops teamKubernetes and Terraform in production: cluster upgrades, Helm, GitOps, and infrastructure as code for a whole cloud estateProduction experience on Azure or AWS. Most of our estate is Azure, so an AWS background works if you are willing to go deep on Azure.Active Python skills: you read and debug a Python codebase and fix the application when the application is what is brokenSecurity as a habit: you have run patch management, handled pentest findings and designed least-privilege access, and you prioritise findings pragmaticallyYou write clearly: runbooks, incident write-ups and architecture decisions that others can followFluent English (engineering runs in English, so German is not required, though it can help in some customer and vendor conversations) Our Benefits & Culture Worki Tower: Our office in the heart of the city over 8 floors invites you to work professionally at an ergonomic workplace and gives you space for your creativity. Our own Workist Lounge awaits you with a cozy atmosphere including coffee, drinks and a vitamin basket for short or longer creative breaks. Play table tennis, darts or Nintendo to clear your head and exchange ideas with other teams.Flexible working hours: Shape your working day with our flexible working hours. Have important appointments in the morning or evening? No problem, take advantage of work schedule flexibility.Office, Remote & Workation: You decide yourself and have the flexible choice between an office or remote from your favorite location! We give you the freedom to work 4 weeks a year from abroad. Your state-of-the-art hardware will accompany you on your way!Come-Together: Let's play together - let's celebrate together! End the working day with a cool drink in our lounge or enjoy the time with your colleagues at the summer party, Christmas party or our quarterly team events.Stay fit & healthy: Your fitness is important to us, so join our weekly RunningLunch and connect with your colleagues. Work-life balance and reduction of your stress level included.Stay mobile: Choose between Deutschlandticket Job and a JobRad allowance and be mobile throughout Berlin and/or Germany.Be social: For your heart's project or to get involved in social and volunteer work, we support you with 3 additional "Social Days".Further your education - with a personal development budget of EUR 1,000.00 per year. About Us Founded in 2019, Workist is a Berlin-based AI scale-up. We provide cutting-edge AI Agents designed specifically to optimize the inside sales teams of manufacturing and wholesale companies. By automating complex B2B quotation and ordering workflows, our AI eliminates manual data entry and allows sales teams to focus on revenue-generating tasks. With over 200 traditional businesses already using our platform to transform their sales floors, we are in a steady growth phase.