Senior Software Engineer – Platform, MLOps

🕒 May 19

🏄 California, Washington – Remote

🏄 California – Remote ☕ Washington – Remote

💵 $152k - $230k / year

⏰ Full Time

🟠 Senior

🏗️ Platform Engineer

👻 Ghost score 52%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Serko Ltd.

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

📦 Logistics

✈️ Travel

Consulting • Logistics • Travel

Serko Ltd. is an integrated online travel and expense management technology provider headquartered in New Zealand, with offices in Australia, the United States, China, and India. Its solutions empower organizations to effectively manage their corporate travel programs and expense administration through robust and intuitive online tools. With a focus on the travel industry, Serko offers products like Zeno, which utilizes artificial intelligence to provide personalized travel solutions that simplify booking and enhance user experience. The company serves hundreds of thousands of organizations across more than 180 countries and employs over 360 people globally.

📋 Description

• Develop intuitive and accessible internal platform interfaces, including dashboards, model registries, and experiment trackers, using React and Next.js • Design and support reliable backend services and APIs in Python • Create and refine automation for model deployment, rollbacks, and scaling workflows using scripts, APIs, and Infrastructure as Code • Integrate monitoring and observability tools such as Grafana, Prometheus, DataDog, and LangSmith • Write testing, evaluation, and validation logic for machine learning pipeline components • Support internal engineering teams and gather feedback to iterate on tooling • Document systems and contribute to engineering wikis and runbooks

🎯 Requirements

• 5+ years honing their craft in full-stack engineering • Deep comfort with Python • Hands-on experience building dependable backend services and clean REST APIs • Experience crafting responsive dashboards and internal tools using TypeScript and React • Experience caring for and managing machine learning-based applications within a live production ecosystem • Comfort navigating cloud platforms (AWS, GCP, or Azure) • Basic understanding of Docker and Kubernetes • History of working with data or machine learning engineering teams • Foundational understanding of databases, job queuing systems, and asynchronous workflows • Applicants must be authorized to work for any employer in the U.S. • Unable to provide or assume sponsorship for employment visa status

🏖️ Benefits

• A competitive base pay • Medical Benefits • Discretionary incentive plan based on individual and company performance • Access to a learning & development platform • Opportunity to own your career pathways • Flexible work policy