Infrastructure Engineer / Machine Learning Platform

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Ready to be a Titan?

In this position you will develop a cutting-edge, automated ML platform for the data science team. You will engage with multiple internal teams, including engineering, infrastructure, data science and growth. We build for perfection, use Python and the most modern tools on Azure Cloud, have an amazing culture, and love to solve complex problems.

What you'll do:

  • Architect, design, and implement our in-house ML platform end-to-end. The ideal candidate has a good engineering background and is familiar with DevOps/MLOps practices

  • Work with data science and other engineering teams to prototype and implement product features.

  • Implement and manage state-of-the-art CI/CD pipelines.

  • Implement an auto-scaling system for our Kubernetes nodes and other Azure resources, including Azure Functions.

  • Handle code deployments in all environments

  • Monitor metrics and code delivery continuous improvement

What you'll bring:

  • 3+ years of experience in programming preferably in Python

  • BA/BS in Computer Science, Computer Engineering or in a related technical discipline or equivalent industry experience.

  • Be able to craft beautiful infrastructure as code solutions (preferably with terraform)

  • Experience in configuring and managing CI/CD tools (preferably Teamcity)

  • Experience with container networking on Docker

  • Understanding of architectural patterns

  • Experience with Git, unit testing, debugging, profiling, JIRA, and other tools that are typically used by developers

  • To be comfortable working in a fast-paced environment with a globally distributed team


Preferred qualifications:

  • Experience in managing cloud infrastructure in Azure 

  • Experience with Linux infrastructures

  • Experience maintaining services in Kubernetes environments 

  • Experience with microservices and asynchronous messaging technologies like Kafka, Azure ServiceBus etc. 

  • Experience with serverless architecture (Azure Functions, AWS Lambda etc.) 

  • Knowledge of Azure ML and ML project lifecycle

Be Human With Us:

Being human isn’t about checking every box on a list. It’s about the experiences we have, people we meet, and the perspectives we share. So, if you have the skills but are hesitant to apply because of your background, apply anyway. We need amazing people like you to help us challenge the conventional and think differently about the problems that we’re solving. We’re in this together. Come be human, with us. 

What We Offer:

When you join our team, you’re not just accepting a job. You’re making a career move. Here’s how we’ll support you in doing some of the most impactful work of your career:

  • Flextime, recognition, and support for autonomous work: Flexible time off with ample learning and development opportunities to continue growing your career. We offer a comprehensive onboarding program, leadership training for Titans at all levels, and other programs and events. Great work is rewarded through Bonusly, peer-nominated awards, and Founders Club- open to all Titans. 

  • Holistic health and wellness benefits: Company-paid medical, dental, and vision (with 100% employer paid options and 80% coverage for dependents), FSA and HSA, 401k match, and telehealth options including memberships to Headspace, Galileo, One Medical, Ginger and more. 

  • Support for Titans at all stages of life: Parental leave and support, up to $20k in adoption reimbursement, on demand maternity support through Maven Maternity, free breast milk shipping through Maven Milk, pet insurance, legal advisory services, financial planning tools, and more.

At ServiceTitan, we celebrate individuality and uniqueness. We believe that the convergence of fresh perspectives and experiences from all walks of life is what makes our product and culture so great. We strongly encourage people from underrepresented groups to apply. We do not discriminate against employees based on race, color, religion, sex, national origin, gender identity or expression, age, disability, pregnancy (including childbirth, breastfeeding, or related medical condition), genetic information, protected military or veteran status, sexual orientation, or any other characteristic protected by applicable federal, state or local laws.

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Location

Our office is located in a buzzy, vibrant neighborhood with access to great restaurants and bars. Think small-town vibe with big-city amenities.

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