Platform Engineering Lead

About the Product

We build a marketing data platform for the pharma industry. Our clients are pharmaceutical brands, and the campaigns reach verified healthcare professionals.

The platform enables marketing teams to run campaigns across channels such as Meta, LinkedIn, and programmatic advertising, and to measure campaign performance. The core product is a Laravel + Vue application running on GCP, backed by PostgreSQL and analytical data platforms including ClickHouse and BigQuery.

The team is small, fully remote across EU time zones, and releases continuously.

We are looking for a Lead Platform Engineer to lead the engineering team behind a large-scale 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 shape how features are built, translate product requirements into clear technical specifications, make architectural decisions, and take ownership from development through release and production.

You will work closely with the Product Lead, who owns the product vision and priorities, and report directly to the CTO. Together, you will shape not only the technology behind the platform, but also its user experience and evolution.

What we're looking for

General

• Product mindset: able to turn business goals into concrete user flows and product decisions, while challenging requirements that do not create real user value
• 2+ years of technical leadership: experience as a Tech Lead, Team Lead, or hands-on Engineering Manager, including task breakdown, code reviews, mentoring, and 1:1s
• 5+ years of full-stack engineering experience: building, shipping, and maintaining production web products
• Production ownership: comfortable owning releases, incidents, reliability, and data correctness
• Remote collaboration: comfortable working in a fully remote environment with overlap across EU time zones
• English B2+: confident in written communication, as most day-to-day communication is asynchronous

Technical

• UI/UX mindset: able to review existing user flows, identify friction, and implement meaningful improvements without depending on a designer for every change
• Strong Laravel: hands-on experience with Eloquent, queues, events, service providers, testing, and production Laravel applications
• Vue.js: experience with either Vue 2 or Vue 3. The existing SPA is based on Vue 2.7, Options API, Vuex, and Vue Router, so the ability to work effectively within an existing codebase is more important than framework preference
• PostgreSQL: beyond CRUD — indexing, query optimization, execution plans, and migrations against live production tables
• Strong SQL + analytical databases: practical experience with ClickHouse, BigQuery, Snowflake, or similar technologies
• Large-scale data: comfortable working with datasets containing hundreds of millions or billions of rows and understanding the performance implications
• Technical documentation: able to write and maintain FRDs, architecture decisions, API contracts, and data models
• GCP: experience designing and operating services using Cloud Run, Cloud SQL, GCS, or similar
• Docker & CI/CD: hands-on experience with Docker and CI pipelines, preferably GitHub Actions
• Automated testing: experience with unit, integration, and E2E testing and a mindset of improving test coverage over time
• Production debugging & observability: comfortable working with Sentry, application logs, infrastructure logs, monitoring, and incident investigation

Soft Skills

• Thinks in user flows, not just tickets — understands who the user is, what they are trying to achieve, and what should happen next
• Leads by doing: breaks down work, reviews code, mentors engineers, removes blockers, and makes difficult technical calls when necessary
• Strong written communication: can clearly document requirements, architecture decisions, and technical reasoning in English
• Analytical mindset: investigates root causes rather than treating symptoms
• Strong task and risk management: keeps work transparent, identifies dependencies, and raises risks early
• Responsible approach to healthcare data: understands the importance of access control, consent, privacy, and PII

AI & Engineering Automation

AI-assisted development is an integral part of the engineering workflow. We are looking for someone who actively uses AI coding agents rather than treating them as occasional productivity tools.

We expect you to:

• Use AI coding agents such as Claude Code, Cursor, Codex, or similar tools on a daily basis
• Be comfortable having AI draft a significant portion of production code while personally reviewing and validating the output
• Run multiple AI agents in parallel using isolated branches or worktrees
• Maintain project-specific AI context using tools such as CLAUDE.md, AGENTS.md, custom commands, and rules
• Build AI-powered automations for recurring engineering tasks such as reporting, migrations, release checks, or test generation
• Understand when AI-generated output is incorrect, incomplete, or unsafe — and know when to reject it
• Take full ownership of anything that reaches production, regardless of whether it was written by you or an AI agent

Nice to Have

• Experience with design systems or component libraries
• Experience with Figma or similar tools for designing and communicating user flows
• Experience defining product requirements directly with a Product Manager, founder, or business stakeholder
• Background in AdTech, MarTech, or marketing analytics
• Experience with healthcare or pharma products, particularly consent and PII handling
• Infrastructure as Code experience with Pulumi or Terraform
• Experience migrating Vue 2 to Vue 3
• TypeScript experience
• Apache Druid
• BigQuery or ClickHouse performance and cost optimization

Responsibilities

• Own the platform experience: make day-to-day UX and user-flow decisions and proactively identify improvements
• Partner with Product: contribute to what gets built, challenge assumptions, propose alternatives, and advocate for the user
• Lead a small engineering team: 2–4 developers plus QA, including task planning, code review, mentoring, and participation in hiring
• Stay hands-on: design and implement features yourself while distributing work across the team
• Own technical design: define data models, APIs, UI flows, testing strategy, and rollout plans
• Write and maintain FRDs and keep technical documentation up to date
• Work directly with the Product Lead on weekly priorities and delivery planning
• Work with large-scale campaign data across PostgreSQL, BigQuery, ClickHouse, and Druid
• Own releases and reliability: deployments, monitoring, alerting, incident response, and production support
• Improve observability and engineering quality across the platform
• Maintain and improve CI/CD and automated testing
• Work responsibly with healthcare-professional data, including access, consent, and PII requirements
• Report directly to the CTO and help define architecture and engineering standards

Tech Stack

Backend: PHP 8.3, Laravel 12, Redis
Frontend: Vue 2.7, Vuex, Vite
Databases: PostgreSQL, ClickHouse, BigQuery, Apache Druid
Cloud & Infrastructure: GCP, Docker, GitHub Actions
Monitoring: Sentry
Testing: PHPUnit, Cypress
AI: Claude Code and other AI coding agents

What We Offer

• Real ownership of a major product area, including its technical direction and user experience
• Fully remote work with flexible hours and overlap with EU time zones
• Direct access to the CTO and the opportunity to influence architecture and engineering standards
• Paid AI tooling, including Claude Code
• The opportunity to work with large-scale data, including datasets with up to 1.5 billion rows
• Complex real-world integrations with major advertising platforms
• A small, experienced engineering team with minimal bureaucracy and fast decision-making
• A role where you can influence what gets built, how it is built, and how the product evolves

Interview Process

1. Intro Call — 30 min: expectations and mutual fit.
2. Technical Interview — 90 min: architecture, data modelling, production failure modes, and AI-assisted development.
3. Product Lead Interview — 45 min: collaboration, product thinking, and ways of working.