Full-Stack Engineer — Systems

Tier-1 Full-Stack Engineer — Performance Systems T1 | Bournemouth (Hybrid / Flexible) The Role

You will own a production-grade performance system end-to-end
.

This is not a feature factory.
This is not a wellness app.
This is not a place to hide behind tickets, specs, or abstractions.

This is performance infrastructure used by people operating under real pressure — where mistakes are expensive and reliability is non-negotiable.

You will:

• Own architecture, implementation, and reliability end to end
• Make deliberate technical trade-offs and explain them clearly
• Anticipate failure modes before users ever feel them
• Build for boring reliability
  , not heroics
• Treat timing, silence, and precision as first-class technical concerns

This role requires a full-stack engineer capable of designing and building scalable systems from first principles
.

• Strong full-stack experience
  , including modern frontend development
• Practical knowledge of React (or an equivalent modern JS framework)
• Hands-on experience with common cloud architectures (AWS, GCP, Azure or similar)
• Experience designing and integrating scalable cloud systems
• Solutions architecture capability — not just implementation
• A clear, working understanding of:
  • Security
  • Resiliency
  • Data protection
  • System failure modes

This system must be designed to scale efficiently from the start
.
Security, resilience, and data integrity are foundational requirements
, not future work.

If you haven’t built systems with these constraints in mind, this role is not a fit.

An audio-first, high-reliability training system designed to help elite performers:

• Control attention and emotion under pressure
• Make clean decisions when stakes are high
• Execute reliably when others wobble

You will build and own:

• A modular audio engine with reusable components
• Session logic supporting learning vs maintenance states
• Systems where timing and silence are intentional
• Architecture where small errors have outsized cognitive impact

This is not “play audio and track progress”.
Reliability here is psychological as well as technical.

You think in systems, not features
.

You:

• Reduce noise rather than add complexity
• Make trade-offs explicit
• Fix things because they’re wrong, not because someone noticed
• Communicate clearly with non-technical stakeholders
• Respect that this product trains attention and emotion

• Core flows are stable, trusted, and boring in the best sense
• Audio delivery is precise and interruption-free
• Security, data integrity, and resilience are foundations, not patches
• Bugs are rare, surfaced early, and handled calmly
• The system scales without becoming fragile or robotic

• Engineers who want real ownership
• Builders who care about craft and consequence
• People bored of shipping things that don’t matter
• Calm operators who take responsibility without drama

• You treat security, reliability, or scaling as “later”
• You need heavy direction to feel safe
• You optimise for visibility over quality
• You confuse speed with progress

Competitive base plus performance-linked upside.
We reward ownership and delivery — not titles or tenure.

If this feels slightly intimidating but deeply interesting
, that’s intentional.

This is mental performance infrastructure.
Standards matter.