Senior Full Stack Engineer

• Senior Full Stack Engineer | AI Saa S | Type Script, Node. js, React, Graph QL, AWS
• London hybrid, Few days per month in office | Up to £120,000

A well-funded AI Saa S company is hiring a Senior Full Stack Engineer to help build a platform used by governance, risk and compliance teams to automate complex operational workflows.

The product sits across evidence collection, compliance workflows, customer integrations, permissions, audit trails, reporting, data validation and AI-assisted automation.

It needs engineers who can think beyond feature tickets and understand how product decisions, backend design and production reliability connect.

The strongest fit is a backend-leaning full stack engineer who can own a feature from product problem through to technical design, implementation, failure handling and release.

You should be comfortable building in React, but the heavier technical bar is around Type Script, Node. js, Graph QL, AWS, async workflows, third-party integrations and reliable Saa S architecture.

What you’ll be working on

You’ll be building product features where the complexity sits underneath the UI: data moving between systems, background jobs running reliably, customer workflows staying accurate, external APIs failing safely, and users needing clear visibility into what is happening.

• The work will include
• Building full stack product features using Type Script, Node. js, React, Graph QL and AWS
• Designing backend services that support workflow automation, evidence collection and compliance operations
• Working with queues, background jobs, retries, idempotency, dead-letter handling and async processing
• Building integrations with customer systems and third-party APIs where reliability, error handling and observability matter
• Designing for multi-tenant Saa S environments, including tenant boundaries, permissions, data integrity and workflow fairness
• Creating React product experiences that reflect real backend state, including pending, failed, retrying and completed workflow states
• Improving system visibility through structured logging, metrics, tracing, alerts and production diagnostics
• Helping shape technical decisions around architecture, delivery speed, maintainability and operational risk
• Using AI thoughtfully across product capability and engineering workflow
• What the role needs

Strong candidates will have evidence of owning difficult engineering problems in production, not just contributing to isolated tickets.

• You should bring
• Strong Type Script and Node. js experience in commercial product environments
• Solid React experience, ideally building real workflow-heavy product interfaces
• Graph QL experience, including API design and data modelling considerations
• AWS experience across services such as Lambda, SQS, SNS, Dynamo DB, Event Bridge, Step Functions, ECS or similar
• Experience designing async workflows, queues, workers, retries, backoff strategies, idempotency and DLQs
• Experience integrating with external APIs, customer platforms, Saa S tools or third-party data sources
• Strong understanding of production failure modes: slow APIs, duplicate events, bad payloads, rate limits, partial failures and data inconsistency
• Ability to explain system design decisions clearly, including trade-offs, constraints and why one approach was chosen over another
• Product ownership mindset, with the ability to connect technical choices back to user impact and business workflow
• Comfort working in a small, senior engineering team where ownership is high and ambiguity is normal
• The level
• This is a senior engineering role for someone who can explain work in terms of:

Problem, design, trade-offs, failure handling and outcome.

Examples of relevant experience could include

• Designing a queue or worker system where one customer cannot block everyone else
• Building a payment, checkout, compliance, reporting or workflow system where accuracy matters
• Integrating unreliable third-party APIs and protecting the product from their failure modes
• Owning a Graph QL/API layer that simplifies complex underlying systems
• Building React interfaces that accurately show async workflow state
• Improving reliability, observability or data integrity in a production Saa S platform
• Taking ownership of a feature area rather than only completing assigned tickets

Background in GRC, Reg Tech, security, compliance, fintech, payments, workflow automation or enterprise B2B Saa S would be useful.

The core requirement is proven product engineering depth across full stack delivery and backend reliability.

Package

• London hybrid, around 1 day per month in office
• Senior engineering role in a well-funded AI Saa S business
• Modern Type Script, Node. js, React, Graph QL and AWS stack
• High ownership across product, architecture and implementation
• Complex workflow, integration and reliability problems
• Small engineering team with strong technical influence
• This suits someone who wants meaningful ownership of difficult product engineering problems and can operate as a hands-on senior engineer across frontend, backend, architecture and production reliability.
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