Platform Engineer

Zalion · Munich, Germany · 8 months ago

Category: Devops

agentic-ai ai automation aws ci-cd dast developer-experience devops ecs github grafana iam infrastructure-as-code kubernetes networking observability

Tasks

You will:

Own our platform foundations end-to-end — from AWS architecture and IaC to CI/CD, observability, and incident readiness.

Build and evolve secure, scalable AWS infrastructure (networking, compute, storage, IAM) optimized for reliability and cost.

Design and maintain CI/CD pipelines on GitHub that are fast, repeatable, and developer-friendly (clear feedback loops, safe deploys, strong defaults).

Define and operate infrastructure using Terraform — with clean modules, sensible standards, and automated validation.

Improve developer experience through golden paths: templates, self-service environments, paved roads for deployments, and internal tooling that removes friction.

Drive availability, scalability, and resilience: deployment strategies, rollbacks, capacity planning, DR thinking, and performance tuning.

Implement pragmatic security-by-default: least privilege IAM, secrets management, secure supply chain, and guardrails that enable speed without compromising safety.

Establish and refine observability and reliability practices (SLOs/SLIs, monitoring, alerting, postmortems, runbooks) that scale with the team.

Partner closely with product engineering to reduce operational load and keep delivery velocity high as Zalion grows.

Requirements

Strong experience as a Platform / DevOps / Site Reliability Engineer in product teams shipping to production.

Deep practical knowledge of AWS: networking, IAM, security controls, and designing for failure.

Hands-on expertise with Terraform: modules, state strategy, DRY patterns, environment separation, and automated reviews.

Solid CI/CD engineering experience with GitHub: pipeline design, artifact/versioning, deployment safety, and fast feedback loops.

A strong mindset for reliability and operability: you think in failure modes, automation, and measurable outcomes (SLOs).

Security awareness and discipline: you build guardrails that make the secure path the easy path.

A builder mindset: you ship improvements, measure impact (lead time, deploy frequency, MTTR), and iterate.

Comfort with ambiguity and ownership: you proactively identify platform bottlenecks and fix them without waiting for perfect specs.

4+ years experience in relevant roles (startup/scale-up experience is a plus).

Benefits

Build the platform behind agentic AI systems that run in real enterprise environments

Massive autonomy, zero bureaucracy

Immediate impact — your work accelerates every engineer and every release

Modern stack, no legacy constraints

Competitive salary + meaningful equity

High-end equipment

🛠️ Tech Stack You’ll Work With

AWS (core services; compute, networking, IAM, logging/monitoring, managed data services)

Terraform (modules, workspaces, validation, state management)

GitHub (Actions, CI/CD workflows, checks, release automation)

Containers orchestration (e.g., ECS/Fargate and/or Kubernetes depending on evolution)

Observability tooling (metrics, logs, tracing; e.g., Grafana/Prometheus/OpenTelemetry and friends)

Security tooling (SAST/DAST, dependency scanning, secrets scanning, policy as code

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Tasks

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