Platform Engineer

• We strongly adhere to the Lean Startup and Agile principles, favoring action over analysis, imperfect iteration over perfect delivery, and face-to-face communication
• As Senior Platform Engineer, you’ll be an individual contributor within the engineering team, occassionally embeded in squads, but most of the time working on the platform roadmap
• You won’t lead people (yet), but you will lead technical initiatives that touch every engineer at haddock
• You’re expected to be opinionated, pragmatic, and to contribute code
• This is not an ops-only role
• Haddock is an AI-first company, and so is this role
• More than 50% of our infrastructure cost today is tied to AI workloads, not traditional SaaS software operations
• You’ll own both worlds: classic platform work and the cost, performance and reliability of our AI stack
• You’ll also use AI daily to do your own work, from infra automation, debugging, writing code, monitoring, etc
• Secure our data layer (VPC, DNS, secrets, IAM)
• Improve CI/CD and developer productivity
• Make infra observable: clear, actionable metrics and dashboards, including AI workload cost and performance
• Own cloud cost: visibility, predictability, optimization, with a sharp focus on our AI spend
• Help us scale performance: PostgreSQL optimization, caches, queues, pub/sub, and search/analytics infra (Elasticsearch, BigQuery, ClickHouse…) when the product calls for it
• Architect what comes next: alerting, team growth, next layer of scale
• Moving our PostgreSQL and MongoDB databases behind a VPC with no downtime, and tightening secrets management and IAM along the way
• Getting AI infra cost and performance under control: instrumenting our AI workflows, identifying waste, and making our AI spend predictable as we scale
• Improving CI/CD and preview environments so product engineers (and AI agents doing the work) ship faster with less friction
• Fixing our top performance bottlenecks: identifying the queries and endpoints that hurt most, fixing them, and mentoring the team so good query patterns become the default
• Leading the decision on whether to adopt Elasticsearch, BigQuery, ClickHouse or similar, backed by data from real product needs

Benefits

• Flexible working hours