DevOps Engineer (GCP)

About the job Are you passionate about AI? 🤖 At Satori Analytics, we aim to change the world one algorithm at a time by bringing clarity to global brands through Data & AI. From cloud-based ecosystems for fintech to predictive models for airlines, our cutting-edge solutions cover the entire data lifecycle—from ingestion to AI applications. As a fast-growing scale-up, our team of 100+ tech specialists—including Data Engineers, Data Scientists, and more—delivers innovative analytics solutions across industries like FMCG, retail, manufacturing and FSI. Join us as we lead the data revolution in South-Eastern Europe and beyond! Together with a partnering company, we're looking for a a DevOps / Platform Engineer to own and evolve the infrastructure that keeps this platform reliable (AI agent evaluation platform), observable, secure, and fast to ship to. You'll work closely with backend, ML, and frontend engineers to make deploying and operating services boring, repeatable, and safe. What Your Day Might Look Like: Cloud infrastructure as code: Own and extend our Terraform estate across multiple GCP environments (base, core, obs, dev, test, prod), including GKE clusters, Cloud SQL (Postgres/MySQL), networking, buckets, and IAM. Drive the in-progress "Neo" platform rollout and the cutover/retirement of legacy infrastructure Kubernetes & containers: Manage workloads on GKE, maintain Dockerfiles and Helm-style application configs for :10 backend services, and tune autoscaling, resource limits, and pod disruption budgets Maintain and improve our GitHub Actions pipelines: PR checks (Python/JS lint, type-check, tests), Terraform prechecks, image builds and pushes, auto-deploy, and DB-migration labelling/gating. Reduce build times and flakiness, and make deploys self-service for product teams Data & messaging infrastructure: Operate Postgres, Redis, and Celery-based async workers; manage Alembic migrations, queue health, and backpressure for long-running simulation jobs Observability: Own our monitoring stack — Grafana dashboards, ClickHouse, Langfuse (LLM tracing), and Celery queue metrics. Build alerting and SLOs so we catch issues before customers do Security & secrets: Manage secret distribution, least-privilege IAM, and remediation tracking. Partner with engineering on findings in our security assessment process Cost & reliability: Keep an eye on cloud and LLM-proxy (LiteLLM) spend, right-size resources, and improve resilience of the simulation and evaluation pipelines You'll work with: Cloud: Google Cloud Platform (GKE, Cloud SQL, GCS, IAM); some AWS / IBM footprint IaC: Terraform (>= 1.14), multi-environment root modules Containers/orchestration: Docker, docker compose (local), Kubernetes / GKE CI/CD: GitHub Actions Backend: Python 3.13+ (managed with uv), Celery, FastAPI-style HTTP APIs; Node/Express services Data: PostgreSQL, MySQL, Redis, ClickHouse Observability: Grafana, Langfuse, custom Celery metrics LLM infra: LiteLLM proxy Requirements Your Superpowers 🚀 3+ years in DevOps / SRE / Platform Engineering, or strong backend experience with heavy infra ownership Solid hands-on Terraform (modules, state, multi-environment) and cloud experience (GCP preferred; AWS/Azure transferable) Production Kubernetes experience: deployments, services, autoscaling, debugging pods, rollouts/rollbacks Strong Docker fundamentals and comfort writing/optimising Dockerfiles CI/CD pipeline design and maintenance (GitHub Actions, or equivalent like GitLab CI / CircleCI) Comfortable scripting and reading code in Python and/or Bash; able to navigate a polyglot monorepo Operational experience with relational databases and managed database services (migrations, backups, performance) A reliability mindset: monitoring, alerting, incident response, and writing runbooks Bonus points for: Experience operating Celery / distributed task queues and Redis at scale Familiarity with LLM/AI infrastructure (model proxies, GPU scheduling, token/cost management) Observability tooling depth (Grafana, Prometheus, ClickHouse, OpenTelemetry, Langfuse or similar tracing) Security/compliance experience (IAM hardening, secret management, vulnerability remediation) Cost-optimisation experience for cloud + third-party API spend Experience supporting a monorepo with multiple language ecosystems and editable/internal package dependencies Benefits Perks on Perks Competitive salary Training budget to level up your skills from top tech partners like Microsoft, AWS, Salesforce, and Databricks - whether it's certifications or courses, we've got you covered Private insurance, top-tier tech gear, and the chance to work with a stellar crew Ready to create some data magic with us? Hit that apply button and let's get started. ✨