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Infrastructure Software Engineer

unlimited holidays
Remote: 
Full Remote
Contract: 

Offer summary

Qualifications:

Bachelor's degree or higher in Computer Science or related field, 1-3 years experience in software engineering or infrastructure, Proficient coding abilities in Python and Go, Working knowledge of Kubernetes and containerization..

Key responsabilities:

  • Develop infrastructure components for the ML inference platform
  • Implement and maintain Kubernetes deployments for model serving
  • Build and enhance monitoring systems for model performance metrics
  • Support infrastructure automation to improve ML deployment workflows.

Baseten logo
Baseten Startup https://www.baseten.co/
11 - 50 Employees
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Job description

ABOUT BASETEN

Join our dynamic team at Baseten, where we’re revolutionizing AI deployment with cutting-edge inference infrastructure. Backed by premier investors such as IVPSpark CapitalGreylock, and Conviction, we’re trusted by leading enterprises and AI-driven innovators—including DescriptBland.aiPatreonWriter, and Robust Intelligence—to deliver top-tier performance, security, and reliability for their production workloads. With our recent $75 million Series C funding, we’re poised to accelerate our mission to make AI accessible across all products. If you’re passionate about tackling impactful challenges and building transformative solutions from the ground up, we invite you to join us on this exciting journey!

THE ROLE

As an Infrastructure Software Engineer at Baseten, you'll build and maintain components of our ML inference platform that powers production AI applications. You'll contribute to the core infrastructure, enabling developers to deploy, scale, and monitor ML models with high performance.

RESPONSIBILITIES:

  • Develop infrastructure components for our ML inference platform using Python and Go

  • Implement and maintain Kubernetes deployments for model serving

  • Contribute to our inference orchestration layer for model deployments

  • Build and enhance monitoring systems for model performance metrics

  • Implement efficient resource management solutions for ML workloads

  • Support infrastructure automation to improve ML deployment workflows

  • Work closely with team members to implement technical solutions

  • Help balance performance optimization with system reliability

  • Participate in technical discussions around infrastructure improvements

  • Learn and apply infrastructure best practices

REQUIREMENTS:

  • Bachelor's degree or higher in Computer Science or related field

  • 1-3 years experience in software engineering or infrastructure

  • Proficient coding abilities in one or more popular programming or scripting languages; Go proficiency is a plus

  • Working knowledge of Kubernetes and containerization

  • Basic understanding of machine learning concepts and model serving

  • Familiarity with distributed systems concepts

  • Experience with basic monitoring and logging tools

  • Interest in ML/AI infrastructure and willingness to learn

  • Strong collaboration and communication skills

BENEFITS:

  • Competitive compensation package (Unlimited PTO, 401k, covered healthcare premiums, remote-first culture).

  • A unique opportunity to be part of a rapidly growing startup in one of the most exciting engineering fields of our era.

  • An inclusive and supportive work culture that fosters learning and growth.

  • Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

Apply Now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.

At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

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Experience

Spoken language(s):
English
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Other Skills

  • Collaboration
  • Communication

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