Lead software engineer

OMP Belgium; Antwerpen; On-site; EUR 90,000 - 125,000; Full time

Job summary

OMP Belgium is seeking a Lead Software Engineer to design, build, and deliver high-performance, scalable systems. This is a hands-on role: you spend your time coding, while mentoring teammates and owning production readiness.

You will drive performance, reliability, and cross-component integration, staying hands-on yet guiding delivery from design to production. Strong focus on observability and AI-assisted testing shapes your approach.

Responsibilities

• Designing and building scalable solutions with focus on performance and maintainability.
• Taking ownership of delivery from design to production; team runs what it ships.
• Staying hands-on in code while ensuring delivery stays on track and quality is high.
• Challenging and refining requirements with product analysts for clarity and feasibility.
• Owning technical correctness, including performance and scalability.
• Shifting quality left with AI-based testing frameworks for fast, automated feedback.
• Building observability into software so the team can run it confidently.

Skills

Team leadership

Performance optimization

Mentorship

System integration

Code quality

Job description

As a Lead software engineer, you design, build, and deliver high-performance, scalable software systems. This is a hands-on role: you spend your time in the code, combining deep technical expertise with mentorship as you build and run production-ready solutions.

You are responsible for:

• Designing and building scalable solutions with a strong focus on performance, maintainability, and cross-component integration.
• Taking ownership of delivery from design to production, and living 'you build it, you run it', so your team owns what it ships and keeps it reliable in production.
• Staying hands-on in the code while keeping delivery on track: unblocking the team, holding the bar on quality, and mentoring fellow engineers.
• Challenging and refining requirements with product analysts to ensure clarity, feasibility, and delivery readiness.
• Owning technical correctness, including performance and scalability.
• You shift quality left and reimagine how QA is done, building AI-based testing frameworks that deliver strong automation and fast feedback so issues surface early. This covers the full range of testing: performance, load, spike, soak, and security testing.
• Building observability into the software as a core principle, so your team can run it with confidence and catch issues before customers do.