Senior Software Engineer - ML & Big Data Ops (Hybrid)

Truveta; Seattle (WA); Hybrid; USD 155,000 - 190,000; Full time

Benefits offered by this job

Great benefits package

401K plan

Professional development

Flexible work hours & PTO

Generous parental leave

Team activities

Job summary

Truveta is seeking a Senior Software Engineer to participate in a multi-model data processing team. This role requires deep expertise in cloud-native infrastructure, distributed systems, and strong product thinking.

You will partner with Compute Platform, security, ML engineering, and applied AI teams to define platform requirements and build self-service capabilities for rapid, safe delivery of data at scale.

Qualifications

• 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.
• BS or MS in Computer Science or related field.

Responsibilities

• Leverage software engineering skills to build and deliver reliable, secure and scalable software solutions using modern cloud-based paradigms across different components in Truveta.
• Collaborate 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.

Skills

Distributed systems

APIs design

Large-scale ML deployment

Privacy & security awareness

Team collaboration

Education

BS in Computer Science or related field

MS in Computer Science or related field

Tools

AWS

GCP

Azure

Microservices

Modular APIs

Job description

Truveta is seeking a Senior Software Engineer to participate in a multi-model data processing team. This role requires deep expertise in cloud-native infrastructure, distributed systems, and strong product thinking.

You will partner with Compute Platform, security, ML engineering, and applied AI teams to define platform requirements and build self-service capabilities for rapid, safe delivery of data at scale.