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Lead Platform Engineer

28 дн. назад

Коротко

Leads a team of 2-4 developers and QA; writes production code; designs features (data model, API, UI); maintains FRDs and architecture decisions; owns releases · Needs: 2+ years as Tech Lead/Team Lead; 5+ years full-stack; PHP/Laravel 12, PHP 8.3; Vue.js; PostgreSQL; analytical database (ClickHouse, BigQuery, Snowflake); GCP

Описание от работодателя

We are looking for a Lead Platform Engineer to lead the team behind a web platform used by pharma marketing teams to run and measure their campaigns. This is a hands-on technical leadership role : you will lead a small team of developers and a QA engineer while continuing to write code yourself. You will work closely with the CTO and Product Lead, taking features from technical design and documentation through development, release, and production. What you’ll do Lead a team of 2–4 developers + QA : break down tasks, review code, mentor engineers, and contribute to hiring Stay hands-on and write production code yourself Design how features should be built: data model, API, UI, testing, and rollout Write and maintain FRDs, architecture decisions, API contracts, and data models Work directly with the Product Lead on priorities Work with large-scale campaign data across PostgreSQL, BigQuery, ClickHouse and Apache Druid Own releases, production reliability, monitoring, incident response, and debugging Improve automated testing, observability, and development processes Work with healthcare-professional data, including access, consent and PII requirements Report directly to the CTO and participate in architecture and technical decisions Requirements 2+ years as a Tech Lead, Team Lead or hands-on Engineering Manager 5+ years of experience building and shipping web products as a full-stack engineer Strong hands-on experience with PHP / Laravel Laravel 12, PHP 8.3 Eloquent, queues, events, service providers, testing Experience with Vue.js and working with an existing Vue codebase Vue 2/3, Vuex, Vue Router Strong PostgreSQL knowledge: indexing, query plans, migrations on live tables Strong SQL skills and experience with an analytical database such as ClickHouse, BigQuery, Snowflake or similar Experience working with large datasets GCP experience: Cloud Run, Cloud SQL, GCS Docker and CI/CD experience, preferably GitHub Actions Experience with automated testing and production debugging Experience writing technical documentation and feature requirements English B2+ Comfortable working remotely with overlap with EU time zones AI-assisted development AI-assisted development is an important part of the workflow. We expect you to: Use AI coding agents such as Claude Code, Cursor, Codex or similar on a daily basis Be comfortable reviewing and validating AI-generated code Work with multiple coding agents in parallel using isolated branches/worktrees Maintain project context and rules for coding agents, e.g. CLAUDE.md / AGENTS.md Use AI agents to automate recurring engineering tasks such as test generation, migrations, reports or release checks Take full responsibility for the code that reaches production Nice to have Ad-tech or marketing analytics experience Healthcare or pharma domain experience Pulumi or Terraform Experience migrating Vue 2 to Vue 3 TypeScript Apache Druid BigQuery / ClickHouse performance and cost optimization What we offer Fully remote work with flexible hours and EU timezone overlap Direct collaboration with the CTO on architecture and technical standards Paid AI tooling, including Claude Code Work with large-scale datasets, including tables with up to 1.5 billion rows Small, technically focused team with minimal bureaucracy Opportunity to influence architecture and engineering practices rather than simply implement predefined tickets About the product The product is a marketing data platform for the pharma industry . It helps pharmaceutical brands run campaigns across Meta, LinkedIn and programmatic channels and measure their performance. The core product is a Laravel + Vue application running on GCP, with PostgreSQL, ClickHouse, BigQuery and Apache Druid behind it.