Amsterdam (NL), Skopje (North Macedonia)
Own platform infrastructure to optimize cloud costs and improve system reliability
As a Lead Engineer reporting directly to the CTO, you will own platform and infrastructure with a focus on cloud cost optimization, platform reliability and scalability, and architecture decisions for Kubernetes, databases, and cloud strategy. You'll write code most of the time in a small, senior team, working on measurable outcomes in the first six months using Go, Python, AWS, GCP, Kubernetes, PostgreSQL, CockroachDB, Redis, and Terraform.
Why This Role?
Reports directly to the CTO with high impact and code-focused work in a senior team
Key Responsibilities
- Optimize cloud costs on AWS and GCP through tooling and guardrails
- Improve platform reliability and scalability by defining SLOs and enhancing observability
- Make architecture decisions on Kubernetes, databases, and cloud provider strategy
- Write production code in Go or Python as part of a small, senior engineering team
- Apply AI tooling actively in your engineering workflow
Requirements
- Software engineering background in Go or Python (not scripting-only)
- Production cloud cost optimization experience
- Deep experience with distributed systems
- Active use of AI tooling in engineering workflows
Required Skills
Keywords
View Original Description from HN Who is Hiring
Original description from HN Who is Hiring
Stream | Amsterdam (NL), Skopje (North Macedonia)| Remote possible | Full Time | Visa Sponsorship We power real-time Chat, Video, Activity Feeds, and AI Moderation for apps like Strava, Bumble, eBay, and Patreon - billions of API requests per month, millions of concurrent users. We're looking for a hands-on Lead Engineer (Staff / Principal level) to own Platform & Infrastructure. Reports directly to the CTO. Small, senior team - you'll write code most of the time, not run a process org. First 6 months focus on three things with measurable outcomes: * Cloud cost optimization (AWS/GCP) — tooling and guardrails, not reports * Platform reliability and scalability — SLOs, observability, hardening * Architecture decisions on Kubernetes, databases, and cloud provider strategy Stack: Go, Python, AWS, GCP, Kubernetes, PostgreSQL, CockroachDB, Redis, Terraform. Looking for: software engineering background (Go or Python, not scripting-only), production cloud cost optimization experience, real distributed systems depth, and active AI tooling use in your engineering workflow. Not a fit if: you're security/compliance-heavy, scripting-only, or dependent on large-org support structures. Full JD + apply here: https://jobs.ashbyhq.com/stream/cbabbb5d-0e34-486b-acf7-ce40...
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