software engineer

Mirantis, an IREN company, is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment-on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full control of their infrastructure strategy.

We are looking for a new graduate software engineer to join the team building k0rdent AI - the multi-tenant control plane for enterprise GPU infrastructure. You will write Go services, Kubernetes tooling, and tests that run against real clusters, working alongside senior engineers across the US, Europe, and India who will review your code and invest in your growth.

This is a role for someone with range and appetite. We do not expect you to arrive knowing our stack - we expect you to learn it fast, ask sharp questions, and take on whatever the team needs next, whether that is a backend service, a test harness, an SDK, or a debugging session in a live cluster. Working within an agile framework, you will ship real features to production, not sit on the sidelines of the interesting work.

Main Responsibilities:

Build and extend Go services, database schemas, and REST API endpoints for the k0rdent AI platform.

Write unit, integration, and end-to-end tests as a normal part of every change.

Debug failures across the stack - from an API response, through service code and workflow orchestration, down to a Kubernetes cluster.

Contribute to internal tooling, automation, and client SDKs that make the whole team faster.

Participate in code review - both receiving detailed feedback and, over time, giving it.

Write and update technical documentation so the next person does not have to rediscover what you learned.

Take on unfamiliar problems, learn the surrounding technology, and come back with a working answer.

Bachelor’s degree in Computer Science, Software Engineering, or a related field - or equivalent demonstrated ability.

Solid CS fundamentals: data structures, algorithms, concurrency, networking, and how HTTP and databases actually work.

Proficiency in at least one systems or backend language (Go, Java, C++, Rust, C#, or Python) and the ability to become productive in Go quickly.

Working knowledge of SQL and relational data modeling.

Comfort with Git, the command line, and Linux.

Evidence of self-driven building - internships, personal projects, open-source contributions, hackathons, or coursework you took further than the assignment required.

Clear written communication; able to explain a problem and a proposed fix in text to a distributed team.

Genuine curiosity about infrastructure, distributed systems, and how large-scale platforms are built.

Must Have

The “I’ll figure it out” instinct - you research, experiment, and read source code before asking to be unblocked, and you ask a well-formed question when you are.

Something you built and can walk us through in detail: what it does, why you designed it that way, and what you would change now.

Willingness to be reviewed rigorously and to treat feedback as the fastest way to get better.

Testing instinct - you can explain how you know your own code works.

Authorization to work in the United States.

Nice to Have

Exposure to Go in a project, internship, or coursework.

Familiarity with containers and Kubernetes (docker, kubectl, Helm) at any depth.

Cloud experience with AWS, Azure, or GCP.

Any experience with REST API design, OpenAPI, or client SDKs.

Exposure to CI/CD pipelines (GitHub Actions or equivalent).

Interest in or coursework on AI/ML infrastructure, GPU computing, or distributed systems.

Python or TypeScript for testing and tooling.

Open-source contributions of any size - issues, docs, and small fixes all count.

Security or systems-programming coursework, CTF participation, or similar.

Education and Experience: Bachelor’s degree in Computer Science & Engineering or related field or 6months to 1 year related experience.

What does Mirantis offer you? Work with an established Silicon Valley leader in the cloud infrastructure industry; Work with exceptionally passionate, talented and engaging colleagues, helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies; Be a part of cutting-edge, open-source innovation; Thrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued; Professional development and training; Attend conferences and working groups; Company outings, happy hours, hackathons, and tech talks; Receive a competitive compensation package with a strong benefits plan.

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