Engineering Director (Data & Platform)

wave group European Union
Remote
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Lead high-performing data platform and backend engineering teams, driving scalability, reliability, and developer velocity. Manage squad leads, review code, and contribute to technical decisions. Must have strong software engineering background, data platform knowledge, and experience leading remote teams.

Key Highlights
Lead high-performing data platform and backend engineering teams
Manage squad leads and review code
Contribute to technical decisions and drive scalability, reliability, and developer velocity
Key Responsibilities
Leading high-performing data platform and backend engineering teams
Managing squad leads and reviewing code
Contributing to technical decisions and driving scalability, reliability, and developer velocity
Technical Skills Required
Python Data platforms Distributed systems Scalability trade-offs AWS expertise
Benefits & Perks
Up to £200k / €230k salary
Up to 0.5% equity
Fully remote work

Job Description


💻 Job Title: Engineering Director (Data & Platform)

🫡 Reporting into: CTO / Co-Founder

💰 Salary: up to ~£200k / €230k (potential flex for strong candidates)

📈 Equity: up to ~0.5%, currently valued at ~€500k (aiming to ~x10 in 3-4 years)

📍 Location: fully remote anywhere in Europe (quarterly team get togethers)

🔐 Company: Cyber Security SaaS start-up building AI agents to identify and resolve cloud vulnerabilities

💸 Funding: $30m+ (Series A)

👥 Employees: ~35 (20 in Engineering)

  • structured in high-ownership, rapid-output teams (2-3 engineers each + Squad Lead)


Product context

This rapidly-scaling AI-native cybersecurity start-up is building autonomous AI agents that investigate cloud vulnerabilities, determine exploitability and guide remediation (+working on autonomous remediation as we speak).


Under the hood, that means:

  • High-throughput event ingestion
  • Cloud-native data infrastructure
  • Distributed orchestration systems
  • Evaluation and observability pipelines
  • Performance-sensitive backend services


The role

We’re hiring a senior technical leader to own the platform side of a engineering - think infrastructure, data systems, core backend foundations. This is not a coordination role. It is not a process role. It is not a board-reporting leadership job.


This is for someone who:

  • Has led 10-20 engineers in a rapidly-scaling start-up
  • Managed 3-6 squad leads
  • Has built large scale distributed systems
  • Understands data platforms deeply
  • Still commits code and wants to stay close to tech


🫵 What you’ll be doing:

  • Leading high performing data platform/BE teams - you'd start with 3 Squad Leads under you, building that out to ~6 over time
  • Stay close to architecture, code and design decisions
  • Review code and contribute when needed
  • Ensure their data and infrastructure foundations scale with agent workloads
  • Drive performance, reliability and developer velocity
  • Hire exceptional backend/data/platform engineers
  • Develop the next generation of tech leads


You will be measured by: customer impact, system performance, revenue enablement as well as team quality and satisfaction.


✅ Must have requirements:

  • Low ego, high empathy & emotional intelligence
  • Experience leading remote teams
  • Technical credibility - you're not expected to be the strongest programmer in the room, but will be leading world-class talent who needs to respect you (they will interview you)
  • Strong software engineering background and ideally a mastery of Python (Rust/Go/Elixir are also fine)
  • Strong data platform knowledge (streaming, batch, storage layers, infra design)
  • Deep understanding of distributed systems and scalability trade-offs, with experience scaling systems under real load
  • Deep AWS expertise
  • Proven ability to operate in ambiguity and build from first principles


👍 Bonus points for:

  • Previous experience in big tech/companies moving massive data volumes as well as rapidly scaling start-ups
  • Familiarity with AI / Machine Learning infrastructure
  • Understanding of / experience with LLMs or AI-agent systems
  • Domain expertise in AI and/or Cyber Security, ideally understanding of vulnerability management
  • Experience with agent frameworks (LangChain, LlamaIndex, DSPy, custom orchestration layers)
  • Evaluation frameworks, tracing, observability for LLM systems

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