Senior Software Engineer - Platform & MLOps

Serko Ltd•Seattle, WA

8h•$152,000 - $230,000•Hybrid

About The Position

At Serko, we believe something incredible happens when people come face-to-face. That’s why we’re on a mission to engineer a frictionless, next-generation business travel marketplace. We don’t just manage travel; we are leveraging advanced AI and cutting-edge tech to eliminate the complexity of global movement. When you join Serko, you join a global collective of passionate technologists who show up as their true selves to build world-class products. With established hubs across New Zealand, Australia, North America, India and China - your code and ideas will impact millions of corporate travelers worldwide. In this role, you will champion the developer experience by building the internal platform and tooling that every AI engineer at our company trusts and relies on. You’ll craft intuitive dashboards, user-friendly CLI tools, clean APIs, and elegant automation. We’re hiring a Senior Full Stack Engineer to own the end-to-end development of our next-gen AI products either based in Washington or California State. Your work will ensure that deploying and operating AI models is a seamless, safe, and empowering self-service journey, allowing our entire engineering community to thrive and scale together.

Requirements

5+ years of experience in full-stack engineering.
Deep comfort with Python, paired with hands-on experience building dependable backend services and clean REST APIs.
Experience crafting responsive dashboards and internal tools using TypeScript and React.
Experience managing machine learning-based applications within a live production ecosystem.
Foundational comfort navigating cloud platforms (AWS, GCP, or Azure).
Basic understanding of Docker and Kubernetes.
History of working with data or machine learning engineering teams.
Solid foundational understanding of databases, job queuing systems, and asynchronous workflows.
Natural curiosity and comfort when facing open-ended or ambiguous technical challenges, with the ability to turn abstract ideas into structured, clear steps forward.
Applicants must be authorized to work for any employer in the U.S. At this time, we are unable to provide sponsorship or assume sponsorship for employment visa status (e.g., H-1B visa status).

Responsibilities

Develop intuitive and accessible internal platform interfaces—such as dashboards, model registries, and experiment trackers—using React and Next.js to elevate our internal developer experience.
Design and support reliable backend services and APIs in Python, ensuring our application teams can seamlessly tap into the platform's full capabilities.
Create and refine thoughtful automation for model deployment, rollbacks, and scaling workflows using scripts, APIs, and Infrastructure as Code (IaC), embedding safety and predictability into every release.
Integrate monitoring and observability tools (such as Grafana, Prometheus, DataDog, and LangSmith) directly into the platform, giving our teams the clarity and insights they need to succeed.
Write comprehensive testing, evaluation, and validation logic for machine learning pipeline components to ensure high reliability and product excellence.
Act as a supportive resource for our internal engineering community, listening to their experiences and gathering empathetic feedback to continuously iterate on our tooling.
Document systems clearly and contributing to engineering wikis and runbooks so that the entire team can grow together.