Full-Stack Engineer - Performance Systems
Posted 12 hours 59 minutes ago by The Human Capital Company
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.
The ideal candidate will have:- 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.
What You'll Be BuildingAn 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.