Principal DevOps Engineer — Platform Infrastructure (AWS) (Poland)
- Рівень:
- lead
- Джерело:
- djinni.co
Що робити
- Design the AWS foundation from scratch: multi-account architecture (AWS Organizations), landing zone, VPC and networking, IAM strategy, cost governance
- Build and operate the container platform — Amazon EKS, service mesh, autoscaling tuned for spiky sportsbook load, multi-AZ (and where justified multi-region) resilience
- Define everything as code: Terraform for all infrastructure, GitOps delivery (Argo CD or similar), paved-road CI/CD pipelines so product teams ship safely and often
- Establish the observability stack — metrics, logging, tracing, alerting (Prometheus/Grafana, OpenTelemetry, CloudWatch) — and drive an SLO-based reliability practice with error budgets
- Own production readiness: incident response, on-call design, runbooks, chaos/load testing ahead of major sporting events, blameless postmortems
Що очікуємо
- 10+ years of DevOps / platform / infrastructure engineering, including 3+ years at staff/principal level with organization-wide influence
- Deep hands-on AWS: EKS, EC2, RDS/Aurora, networking (VPC, Transit Gateway, Route 53), IAM at scale, multi-account architectures (AWS certifications such as SA Professional / DevOps Professional are a plus)
- Expert-level infrastructure as code with Terraform
- Strong Kubernetes operational depth: day-2 operations, upgrades, capacity, cost
- Track record of building CI/CD and developer platforms engineering teams adopted willingly — golden paths, not gatekeeping
Що пропонуємо
- Hands-on use of AI coding tools (Claude Code, Codex) for infrastructure, pipelines and ops automation — a significant plus
- Security engineering: cloud security posture management, secrets management (e.g. Vault), vulnerability management, SAST/DAST/SCA in CI/CD, ISO 27001 / SOC 2 / PCI DSS
- iGaming, sports betting, fintech or another regulated, high-transaction-volume domain
- Migration off a third-party vendor platform
- Event-streaming infrastructure (Kafka/MSK) and database operations at scale
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