Senior Software Engineer - Platform & MLOps

Serko Ltd

$152K — $230K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in full-stack engineering
  • Proficient in Python for backend service development
  • Hands-on experience in creating responsive dashboards with TypeScript and React
  • Experience managing machine learning applications in production
  • Familiarity with cloud platforms (AWS, GCP, Azure) and basic DevOps tools (Docker, Kubernetes)
  • Strong understanding of databases and job queuing systems
  • Excellent problem-solving skills in technical environments

Responsibilities

  • Develop intuitive internal platform interfaces using React and Next.js
  • Design and support backend services and APIs
  • Create automation for model deployment and scaling workflows
  • Integrate monitoring tools for system visibility
  • Write testing logic for machine learning pipeline components
  • Collaborate with engineering teams for feedback and improvement
  • Document systems and contribute to knowledge sharing

Benefits

  • Access to a comprehensive learning and development platform
  • Flexible work policy
  • Discretionary incentive plan based on performance
  • Engaging workplace culture that encourages improvement and impact
  • Medical benefits
Full Job Description
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 2 x Senior Full Stack Engineer to own the end-to-end development of our next-gen AI products. **Requirements** 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. What You'll Do **Craft Beautiful Internal UIs:** 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. **Nurture Backend Infrastructure:** Design and support reliable backend services and APIs in Python, ensuring our application teams can seamlessly tap into the platform's full capabilities. **Build Safe, Sustainable Automation:** 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. **Cultivate System Visibility:** Weave 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. **Champion Code Quality & Trust:** Write comprehensive testing, evaluation, and validation logic for machine learning pipeline components to ensure high reliability and product excellence. **Partner with Internal Teams:** Act as a supportive resource for our internal engineering community, listening to their experiences and gathering empathetic feedback to continuously iterate on our tooling. **Share Knowledge Generously:** Foster a collaborative environment by documenting systems clearly and contributing to engineering wikis and runbooks so that the entire team can grow together. What you'll bring We believe that exceptional engineering stems from continuous growth and diverse experiences. We are looking for a collaborative partner who has spent **5+ years honing their craft in full-stack engineering** and wants to make a lasting impact on our developer community. **You will be a great fit if you bring:** **Core Backend Comfort:** A deep comfort with Python, paired with hands-on experience building dependable backend services and clean REST APIs. **An Eye for Internal Tooling:** A genuine appreciation for crafting responsive dashboards and internal tools using TypeScript and React. **Production AI Experience:** Experience caring for and managing machine learning-based applications within a live production ecosystem. **Cloud & DevOps Literacy:** A foundational comfort navigating cloud platforms (AWS, GCP, or Azure), alongside a basic understanding of Docker and Kubernetes. **A Collaborative Spirit:** A history of working hand-in-hand with data or machine learning engineering teams, respecting and learning from different technical perspectives. **Understanding of System Flow:** A solid foundational understanding of databases, job queuing systems, and asynchronous workflows. **Creative Problem-Solving:** A natural curiosity and comfort when facing open-ended or ambiguous technical challenges, with the ability to turn abstract ideas into structured, clear steps forward. **Benefits** At Serko, we aim to create a place where people can come and do their best work. This means you'll be operating in an environment with great tools and support to enable you to perform at the highest level of your abilities, producing high-quality and delivering innovative and efficient results. Our people are fully engaged, continuously improving, and encouraged to make an impact. Some of the benefits of working at Serko are: - A competitive base pay - Medical Benefits - Discretionary incentive plan based on individual and company performance - Focus on development: Access to a learning & development platform and opportunity for you to own your career pathways - Flexible work policy - The pay range is between $152,000 - $230,000 USD as a base salary offering annually. **A Note on Work Authorization:** 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).

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