Software Engineer - Agentic SDLC

At Optiver, the velocity of our software development is a critical part of our competitive advantage. Our ability to compete depends on how quickly new ideas can move from insight to production. The Developer Experience team is a strategic engineering function with a clear mandate: improve the software development lifecycle across the company in ways that accelerate delivery and reduce our time to market. We build the tools, systems, and platforms that shape how software is developed at Optiver.

Many organisations are treating AI as something that helps developers work faster - we think that framing may already be out of date. Agents are now capable of doing work end-to-end, not just assisting with it - at a volume and cadence our current software development lifecycle was never designed to absorb. That shifts the problem we are trying to solve from how to make a developer faster to how to make an agent capable of running the entire lifecycle on its own both safely and efficiently.

As it turns out, this is more of a platform problem than a model problem. An agent is only as autonomous as the least autonomous step around it: the environment it needs and cannot provision, the credentials it has no identity to hold, the integration test it cannot stand up, the review that still waits on a human. Such gaps were invisible while everything ran at a human pace but are now what set the ceiling.

We’re looking for engineers who are excited by this problem and who want to help build the Agentic SDLC at Optiver. As part of our Developer Experience team, you’ll lead the development of the platforms, workflows, and guardrails that make autonomous development not only possible but also secure, measurable, and effective at scale.

What you’ll do

• Build just-in-time development environments for agents. Sandboxed compute provisioned per task rather than assigned to a person; sized and configured for the work in front of it, ready in seconds and torn down after.
• Make automated code review trustworthy. Review that weighs the whole case for a change — spec, tests, implementation decisions — not just the diff, and decides whether it is safe to ship, whether a human needs to be involved, and what to put in front of them.
• Develop testing frameworks that build confidence in agentic output. Complex, multi-service tests running in realistic environments against real dependencies, proving with evidence what any given change does to system behaviour.
• Establish a chain of custody for every change. An end-to-end trace of where a change came from, what agents acted on it under which credentials, and how it was built — complete enough to verify what it carries and prevent anything insecure from reaching privileged production environments.
• Build evaluation into the platform. Every model upgrade, context change and harness tweak alters how agents behave — measurement allows us to tune the platform on evidence rather than intuition and ensure that the quality of output is improving over time.
• Design build systems that hold up under an order of magnitude more change. Hermetic, incremental builds backed by remote execution and distributed caching — fast enough that agents aren't left waiting, reliable enough that a failure always means something, on capacity that scales with demand.
• Build the context layer agents navigate by. Connecting source, documentation, build and deployment systems and operational signals, so an agent knows which repo owns which part of the system, where a service is deployed and how to build it — enough to take a spec and turn it into a real change on its own.
• Work directly with engineering teams. Understand how they actually build, find where agents stall in their development lifecycle, turn that into platform capability, and guide teams to work more effectively with agents.

Who you are

• You have built developer platforms or tooling used daily by a large engineering organisation, with ownership of areas such as:
• build and test infrastructure — build systems such as Bazel or Buck, and CI platforms such as GitHub Actions.
• development environment provisioning — systems such as Coder or GitPod, or built on Kubernetes directly.
• release and deployment systems — CD platforms such as ArgoCD or Spinnaker, and artifact repositories such as Artifactory.
• source control and code review — platforms such as GitHub or GitLab.

• You have shipped agentic systems that do real work inside the software development lifecycle, and are opinionated about what makes them effective and reliable: including but not limited to context design, tool integration, workflow orchestration, and evaluation.
• You treat the platform as a product. You know how to instrument the platform to track both adoption and friction, and you put yourself in front of users regularly to see how things actually work.
• You build with security as a primary constraint. You can reason about compute isolation, identity and access controls, network segregation, and can exercise strong judgement about the trade-off between risk and speed.
• You are excited to work on problems nobody has solved yet. You care about the developer experience, how developers and agents can work together, and you're passionate about building the future of how software gets made.

Who we are 

At Optiver, our mission is to improve the market by injecting liquidity, providing accurate pricing, increasing transparency and stabilising the market no matter the conditions. With a focus on continuous improvement, we prioritise safeguarding the health and efficiency of the markets for all participants. As one of the largest market making institutions, we are a respected partner on 100+ exchanges across the globe.

Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.

What you’ll get

You’ll join a culture of collaboration and excellence, where you’ll be surrounded by curious thinkers and creative problem solvers. Motivated by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, working collectively to tackle the toughest problems in the financial markets.

In addition, you’ll receive:

• The opportunity to work alongside best-in-class professionals from over 40 different countries
• A highly competitive compensation package
• Global profit-sharing pool and performance-based bonus structure
• 401(k) match up to 50%
• Comprehensive health, mental, dental, vision, disability, and life coverage
• 25 paid vacation days alongside market holidays
• Extensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues and more

Below is the expected base salary for this position. This is a good-faith estimate of the base pay scale for this position and offers will ultimately be determined based on experience, education, skill set, and performance in the interview process. This position will also be eligible for a discretionary bonus (if determined by Optiver) and Optiver’s benefits package with the benefits listed above.

Base Salary Range

$200,000—$200,000 USD