About Tarmeez Capital

Tarmeez Capital builds financial technology for people and businesses across Saudi Arabia. We're a product-led team that ships fast, owns outcomes end to end, and builds with AI as a core part of how we work, not a side experiment.

The role

We're hiring a Senior Software Engineer who thinks like a product engineer. You'll design and build the backend features behind our financial products, mainly in Go with some Python, and you'll care as much about why a feature exists as how it's built.

You'll also be part of how we build fast. AI coding agents are a core part of our daily workflow, and we're looking for someone who already works this way and can help the team do it well, without cutting corners on quality or security.

What you'll do

Design, build and run backend services and APIs in Go and Python, from first design through production.
Own data models, service boundaries and the core business logic behind the product features you build.
Keep systems reliable under real load, and lead incident response and fixes when things break.
Work directly with Product, Design and business teams to shape what we build, not just how.
Use AI coding agents (e.g. Claude Code, Codex) as a core part of how you design, write, test and refactor code.
Help the team set good practices for agent-assisted development: reviewing generated code, writing tests first, and keeping customer data safe.
Spot where agents save real time and where they don't, and share what works.
Review code and design docs, and mentor mid-level engineers.
Drive technical decisions on architecture, tooling and tech debt, and write them down so others can follow the reasoning.

What you bring

4–6 years of professional backend engineering experience, building and running production systems.
Strong backend skills in at least one language. Go is preferred, since it's our main stack. If your strength is Java, Node.js, or similar, you're welcome to apply, as long as you're ready to pick up Go quickly.
Solid grasp of API design (REST, gRPC or event-driven), relational databases (e.g. PostgreSQL), caching and message queues.
Experience with cloud infrastructure, containers and CI/CD (e.g. AWS or GCP, Docker, Kubernetes).
Regular, hands-on use of AI coding agents in your day-to-day work, and good judgment on when to trust the output and when to check it.
Product sense: you ask who the user is and what problem you're solving before you write code.
Able to explain technical trade-offs clearly to non-engineers.

Nice to have

FinTech, payments, lending or banking experience, especially in KSA.
Familiarity with regulatory and security requirements (e.g. SAMA, CBE, PCI DSS, data residency).
Experience building LLM or agent-powered features into a product.
Experience at an early-stage or fast-growing startup where you built things from zero.

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