Senior Software Engineer, Platform & Production

Our platform delivers adaptive soundscapes for workplaces, hospitals, universities, and other shared environments shaping daily life, integrating with hardware, building systems, and an array of applications to respond dynamically to activity levels, time of day, environmental sensors, and user input. The work sits at the intersection of audio, real-time systems, and human experience.

We are hiring a Senior Software Engineer to own the backend that the entire product stack sits on: services, data layer, identity and authentication infrastructure, partner-facing integration APIs, device communication, and the security posture. You will own, evolve, and build the systems that power our internal tooling, customer-facing applications, partner integrations, and hardware deployments, strengthening what is already in production and shipping what comes next. You will be the technical lead on production engineering, security, and code quality, building on the foundations the team has put in place.

• Own and evolve the backend platform: services, data layer, infrastructure, APIs.
• Strengthen what is in production today, design what is missing, and build what comes next.
• Own the backend side of how our deployed hardware connects to the platform: ingestion, device authentication, fleet management, and remote provisioning.
• Own the identity, authentication, and account layer of the platform.
• Own and operate our data protection posture across the platform: encryption in transit and at rest, key management, data lifecycle, and recovery.
• Establish and maintain the engineering standards (testing, review, deployment, monitoring, secure coding) that the team operates by.
• Partner with the engineers owning the audio engine and frontend surface on the backend contracts their work depends on.

5+ years shipping and operating production backend systems, including time on-call and in incident response. Operational resilience as a habit: you design for failure, build with recovery in mind, and treat incident learning as a driver of engineering quality.

• You have owned quality yourself rather than inheriting it from process.
• Deep relational data modeling and schema design.
• Strong instincts for migrations, indexing, and query performance under load.
• API design experience: you have built and maintained APIs that outlived their first version and you have opinions about versioning, compatibility, and contract discipline.
• You think about attack surface, threat models, and access control as a matter of course, with working knowledge of cryptography and data protection fundamentals.
• Code quality and observability as habits. Tests, substantive review, documentation, and the instinct to measure how software behaves in production are part of doing the work, not chores after it.
• Strong Python for backend services. Comfortable with SQL, Docker, at least one major cloud, infrastructure as code (Terraform, Pulumi, or equivalent), and modern CI/CD practices.
• Modern AI development tools are part of how you ship. You stay current as they evolve, adopt what adds value, and use AI to go faster on work you already understand, which is why you catch AI mistakes before they become bugs.
• Demonstrated technical leadership through influence, not authority: you raise the bar through code review, standards, and example, and you have earned trust from engineers who were there before you.
• Pride in craft, proactive risk-flagging, and the instinct to raise quality bars rather than work around them.
• Designing systems that interface with deployed hardware: device fleets, provisioning flows, secure OTA updates, telemetry ingestion.
• Shipping to enterprise customers, incident response commitments, and contractual security obligations.
• Experience inside a compliance-driven environment (SOC 2, ISO 27001, HIPAA, or equivalent) or building for auditability as a default.
• Additional backend language fluency (Node or TypeScript, Go, Rust) for polyglot service work.
• Audio, signal processing, or real-time systems background.
• AI and machine learning in product contexts: audio generation, personalization engines, training and serving pipelines.
• Interest in sound, music, acoustics, or the wellbeing applications of audio.

We run a weekly product cadence, work asynchronously by default, and rely on clear written communication to stay aligned across time zones.

Benefits include private medical insurance for UK employees, 28 days paid holiday inclusive of UK holidays, flexible remote-first working. Please include three to five sentences on a production system, API, identity/auth, or platform hardening project you owned.