Senior Platform Engineer

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Operate the production system: deploys, rollbacks, capacity, incident response.
Design and execute the scaling roadmap — horizontal scaling, load balancing, caching layers, object-storage offload, database replication, IPFS-node fan-out.
Evaluate and integrate cloud building blocks (managed databases, object storage, CDN, load balancers) where they earn their cost.
Stand up CI/CD pipelines (greenfield — likely GitHub Actions) covering test, build, image push, and deploy across all services.
Establish observability: metrics, logs, error tracking, SLOs, and meaningful alerts.
Manage TLS / ACME automation, DNS, and secrets handling — replace today's hardcoded credentials with a proper secret-management story.
Introduce infrastructure-as-code (Terraform or comparable) so the production system is reproducible.
Use AI coding assistants to author IaC modules, runbooks, and incident-response playbooks.

Docker, Docker Compose, image building.
Linux (Debian-style), Bash, Python for scripting.
Lighttpd today (niche, with DB-driven vhost logic you'll learn) - likely to be reconsidered as we scale.
MariaDB - including replication, backup/restore drills, performance tuning.
Kubo IPFS node, private-swarm operation, gateway scaling.
Let's Encrypt / ACME / Certbot.
Load-balancing layer (to be chosen - HAProxy, Caddy, NGINX, ALB/NLB, etc.).
Object storage (to be chosen - S3, GCS, R2, MinIO; mainly for non-IPFS payloads and backups).
CI/CD (likely GitHub Actions, to be confirmed).
Observability stack (likely Prometheus + Grafana + Loki + Sentry - to be introduced).
IaC: Terraform or Ansible (to be introduced).
One of AWS / GCP / Azure as the long-term cloud target - tbd

5+ years professional Linux sysadmin / DevOps / SRE / Platform Engineering.
Docker fluency: writing, debugging, and optimizing Dockerfiles and multi-service compose stacks.
Networking fundamentals: DNS, TLS, HTTP semantics, reverse proxies, load balancers.
Scripting: Bash plus at least one of Python (or similar like Go/Ruby).
Hands-on CI/CD pipeline design with any modern system.
Production operations experience - you have been on-call, you have written postmortems, you have designed a capacity plan.
Familiarity with at least one major cloud (AWS, GCP, or Azure) including its load-balancing, object-storage, and managed-database primitives.
Git fluency.
Experience using AI coding assistants and agent-based workflows in real ops work.
Strong written English - runbooks, RFCs, and postmortems are core deliverables.

Kubernetes operational experience (CKA welcome but not required).
Terraform or Ansible at intermediate-or-deeper depth.
Multi-cloud literacy — you have shipped on more than one of AWS, GCP, Azure.
Observability stacks: Prometheus, Grafana, Loki, OpenTelemetry, Sentry.
Database operations beyond CRUD: replication, point-in-time recovery, query tuning.
IPFS or other content-addressable / peer-to-peer storage operational experience.
Security hardening - OWASP, basic pen-testing literacy, secrets-management tooling (Vault, SOPS, AWS SM).
Cost engineering - you have right-sized a cloud bill before.
Cloud or Kubernetes certifications.

Calm under outages - you reach for tail -f before you reach for blame.
Pragmatism: you can tell when introducing Kubernetes is correct and when it is yak-shaving.
Documentation discipline - if it isn't in a runbook, it doesn't exist.
Comfortable saying "no" or "not yet" to premature complexity.

Salary: 30-34k on B2B
100% remote work (full-time or part-time)
300 PLN to use on our benefits platform, Worksmile - gift cards, medical services, sports, etc.
Our B2B contract contains provisions that allow you to obtain IP BOX support
Integration events, education opportunities and much more…
A unique opportunity to take your career to the next level - we’re looking for people who want to create an impact. You have ideas, we want to hear them!