[Hiring] Staff / Senior Software Engineer @Unitary

Role Description

As a Senior Software Engineer you will:

• Bring new products to market.
• Re-imagine and refactor our existing services and tooling into a new generation of capabilities.
• Bridge our Machine Learning, Product and Platform Engineering capabilities.

The role will report to a Staff Engineer and can be based in the UK or alternatively anywhere within 3 hours of the UK timezone.

As part of this role, you will:

• Work closely with our operations engineering lead and customer success team to establish priorities across multiple customers and ensure operational excellence.
• Triage and resolve technical issues raised by customers and internal teams.
• Lead or contribute to post-mortems when contractual service level agreement breaches occur, identifying root causes and driving preventive improvements.
• Operate the AI decision engine to make targeted improvements to automation accuracy.
• Update customer workflows when requirements change, working with the customer success team to assess scope and confirm delivery timelines with the customer.
• Contribute to internal tooling and automation that will drive efficiency during the day-to-day service operations.
• Write and maintain runbooks and documentation that enable our internal agent operations teams to become more self-sufficient over time.
• Participate in our 24/7 on-call rotation.

Qualifications

• Expert Python development experience and write production-grade code.
• Experience bringing products to market - ideally taking a product from 0 to 1, or productising a service offering.
• Experience re-imagining and refactoring systems and tooling so they scale reliably as a business grows.
• Use AI coding agents as a core part of how you work, with hands-on experience of agentic tools (e.g. Claude Code, Codex).
• Advocate of strong software engineering practices, standards, and culture.
• Still building hands-on and want to keep doing so for at least the next 12 months.

Requirements

• Previous experience working in a startup or small team (preferred).
• Confidence using AWS and Kubernetes (preferred).
• Experience with workflow orchestration systems (e.g. Temporal) (preferred).
• Ability to venture into Data Engineering, MLOps and/or Platform Engineering (preferred).

Benefits

• Flexible hours and location.
• Competitive salary and equity package.
• Occupational pension.
• Generous paid parental leave.
• Generous paid sick leave.
• Annual budget for your professional development and growth.
• Annual budget for your individual health and wellness.
• Three team offsites to London or other exciting destinations in Europe.