We are looking for a Senior Full-Stack Engineer to help build a FinOps and IT Asset Management platform that brings together cloud, SaaS, and AI usage data. This is a genuinely hands-on role spanning modern React/TypeScript applications, Go-based backend services, and Python connectors that integrate with third-party APIs.

You will build data-dense interfaces for cost and usage insights, create and evolve scalable services, and develop reliable integrations with cloud providers, LLM vendors, and SaaS platforms. You will work with real-world API complexity: OAuth and API-key authentication, credential lifecycle, pagination, rate limits, retries, idempotency, partial failures, and normalisation of data into the FOCUS FinOps standard.

This is not a frontend role with occasional backend exposure, nor a backend role where someone else owns the product experience. We need an engineer who is comfortable moving across the stack, can make sound technical decisions with limited hand-holding, and documents reusable patterns as they go.

You will join a cross-functional product team of engineers, product partners, and ITAM/FinOps stakeholders. The team follows established connector patterns and platform conventions, while continuously improving the reliability, scalability, observability, and developer experience of the product.

Core skills you’ll bring

• 5+ years of professional software engineering experience, including delivery in a consulting, client-facing, or contract environment.

• Strong, recent hands-on experience building production web applications with React and TypeScript.

• Production backend experience with Go, including at least one year of commercial Go development.

• Production experience with Python, particularly for API integrations, data collection, or backend services.

• Proven experience integrating third-party REST APIs, including OAuth/API-key authentication, pagination, rate limiting, retries, idempotency, error handling, and partial-failure scenarios.

• Strong understanding of REST APIs, microservices, distributed systems, and service-to-service integration patterns.

• Solid SQL and data-modelling experience, including practical work with an ORM such as SQLAlchemy, Django ORM, Hibernate, or equivalent.

• Working knowledge of Docker, Kubernetes, CI/CD, Git, and modern code-review and testing practices.

• Experience working in Agile teams using Jira and Confluence as part of the normal development workflow.

• Confidence using AI-assisted engineering tools while critically reviewing, testing, and validating generated code.

• Strong written and spoken communication skills, a pragmatic problem-solving mindset, and the ability to ramp up quickly in a complex product environment.

Nice-to-have

• FinOps, cloud cost management, cloud billing, usage analytics, or familiarity with the FOCUS standard.

• IT Asset Management or software-licensing domain knowledge; experience with FlexNet Manager Suite is a plus.

• Experience with AWS Cost and Usage Report, Azure Cost Management, GCP billing exports, or comparable cloud billing APIs.

• Familiarity with LLM provider APIs, usage or analytics endpoints, and token- or credit-based billing models.

• Experience with gRPC, Protocol Buffers, Databricks, event-driven architectures, or messaging platforms.

• Strong AWS experience, including deploying and supporting production applications.

• Experience with Kubernetes Jobs, ArgoCD, Helm, GitOps practices, or feature-flag platforms such as Split.io.

• Experience with n8n or similar workflow-automation tools, together with sound judgement about when an automation should become a supported service.

• Hands-on experience with observability, monitoring, distributed tracing, and production reliability practices.

• Experience building internal developer tooling, agent skills, MCP servers, or reusable AI-enabled engineering workflows.

• Previous experience in a SaaS product organisation.

The impact you'll create

• Build polished, accessible, and well-tested React/TypeScript interfaces for cost and usage dashboards, connector configuration, and platform administration.

• Design, develop, and maintain scalable Go-based microservices and REST/gRPC APIs.

• Build and evolve Python connectors and collectors for AWS, Azure, GCP, LLM providers, and SaaS vendors.

• Extend the established connector pipeline across credential management, execution, normalisation, persistence, and presentation rather than introducing one-off integration approaches.

• Ensure every new integration follows consistent product patterns, from connector tile through creation and edit flows.

• Normalise vendor cost and usage data to the FOCUS standard, including AI token- and credit-based billing data.

• Model and persist data using SQL, Python ORMs, and Databricks where appropriate.

• Improve platform observability, reliability, performance, scalability, and security.

• Deploy and support services in AWS; work with Azure and GCP as integration targets and data sources.

• Use Docker, Kubernetes, CI/CD, ArgoCD, and feature flags to ship changes safely and reliably.

• Use AI coding tools as part of daily delivery, while treating prompts, skills, and internal documentation as reviewable engineering artefacts.

• Turn repeatable work into reusable skills, agents, and documented playbooks that improve the whole team’s effectiveness.

 What supports your journey