Truveta: Senior Software Engineer - ML Ops — Seattle, WA

Truveta lists a Senior Software Engineer - ML Ops opening in Seattle, WA. The job description covers AWS, Azure, Google Cloud, machine learning, AI, insurance, training.

Recruitment overview

OrganisationTruveta
Post / roleSenior Software Engineer - ML Ops
DepartmentEngineering
Employment typeNot specified
Notification / job ID6092032004
Job locationSeattle, WA
Work arrangementNot specified
Educational qualificationSee the employer’s role-specific qualification criteria
Experience required5+ years of experience building production quality software in a team setting
Salary / stipendSee employer notice for pay details
Last date to applySee official notice

About Truveta

Truveta is a health-data and analytics company. It aggregates de-identified electronic health record data from a network of United States health systems into a research dataset for studying treatments, outcomes and patient care pathways, serving life-science and health researchers. The platform is owned and governed by the participating health systems, and its employer feed lists engineering, data and clinical roles supporting the work.

The position and its setting

Truveta lists Senior Software Engineer - ML Ops in Seattle, WA, under reference 6092032004. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

  • Department: Engineering
  • Employer listing date: 17 June 2026

Responsibilities and work described

  • Leverage software engineering skills to build and deliver reliable, secure and scalable software solutions using modern cloud-based paradigms across different components in Truveta
  • Collaboration: closely with partner teams inside & outside of Truveta
  • Show creativity and curiosity to build integration proof of concepts across the Truveta and partner ecosystems
  • Bring your curiosity, entrepreneurial spirit, and passion to deliver on the promise of technology in the difficult, competitive, and exciting industry of healthcare
  • We are seeking software engineers who:
  • Have experience designing and building reliable, secure, and scalable software solutions using modern cloud-based architectures and engineering practices
  • Have hands-on experience with machine learning infrastructure, including scaling GPU resources to optimize model throughput, performance, and efficiency at scale
  • Are familiar with vLLM and GPU optimization techniques, with an understanding of how to maximize compute utilization and improve inference performance
  • Have experience working with large language models (LLMs), generative AI, and related applications
  • Have experience deploying and operating large-scale machine learning models in production environments
  • Ideally, have prior experience building or working with agentic AI platforms and systems
  • Are quick learners who can iterate on and evolve distributed software systems while thoughtfully balancing privacy, security, reliability, and rapidly changing product requirements
  • Have knowledge of distributed systems, data pipelines, APIs, and data consumption experiences, with experience designing and building these systems at scale
  • Demonstrate a commitment to the Truveta principles and to advancing responsible and ethical innovation
  • Are committed to ongoing learning and training in critical areas such as privacy, ethics, and security

Essential requirements and candidate background

  • 5+ years of experience building production quality software in a team setting
  • 2+ years of experience working on modern cloud-native platforms and languages (AWS, GCP, Azure)
  • Some familiarity with crafting modular APIs and building engaging and intuitive web experiences
  • B.S. or M.S. in Computer Science or related field
  • Why Truveta?
  • Be a part of building something special
  • Now is the perfect time to join Truveta
  • We have strong, established leadership with decades of success
  • We are well-funded
  • We are building a culture that prioritizes people and their passions across personal, professional, and everything in between
  • Join us as we build an amazing company together
  • We Offer:
  • Interesting and meaningful work for every career stage
  • Great benefits package
  • Comprehensive benefits with medical, dental and vision insurance plans
  • 401K plan
  • Professional development & training opportunities for continuous learning
  • Work/life autonomy via flexible work hours and flexible paid time off
  • Generous parental leave
  • Regular team activities (virtual and in-person)

Location, schedule and contract conditions

For this overseas or regional listing, confirm work authorisation and any location restrictions with the employer. The location does not establish visa sponsorship or permission to work remotely from India.

  • If you are based in California, we encourage you to read this important information for California residents linked here
  • Advertised location: Seattle, WA

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Senior Software Engineer - ML Ops vacancy is not an offer for reference 6092032004; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Truveta

Applications follow the official employer page linked below.

Open the official Truveta posting below and match the title and reference 6092032004.

Compare your qualifications and experience with the essential conditions for the Seattle, WA position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: AWS

For AWS experience, describe the workload and the services you actually configured or operated. Useful detail includes deployment, access controls, monitoring, recovery or cost decisions where those were your responsibility.

Relevant skills

  • AWS
  • GCP
  • Azure
  • APIs
  • AI/ML
  • LLMs
  • Google Cloud
  • machine learning
  • AI
  • insurance
  • training

Important links

Official notification / job descriptionOpen official page

Read the complete official notice before applying. Availability and requirements can change.

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