Software Engineer - Core Systems

Posted 3 Days Ago
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San Francisco, CA, USA
In-Office
215K-275K Annually
Senior level
Professional Services • Consulting
The Role
Own backend core systems supporting clinical workflows and machine learning infrastructure. Build and operate ingestion, warehousing, distributed inference, reliability, observability, debugging, capacity planning, CI/CD, and deployment automation. Design secure systems for protected health information, including encryption, access controls, and audit logging. Partner with machine learning engineers on model infrastructure and inference pipelines while leading multi-quarter technical initiatives and balancing reliability, performance, cost, security, and maintainability.
Summary Generated by Built In

About the company

Our client is a healthcare technology company developing AI-enabled medical imaging software. Its engineering team builds the infrastructure that supports clinical workflows and machine learning systems.

The role

Raydar is recruiting for this opportunity through the Paraform network. The position is with our client. Own the backend infrastructure as a Software Engineer focused on Core Systems. This is an individual contributor role with responsibility across ingestion, data storage, reliability, and distributed inference.

What you'll do

- Build and operate data ingestion, warehousing, and distributed inference systems.

- Own reliability, observability, debugging, and capacity planning.

- Create CI/CD and deployment automation for a lean engineering team.

- Design systems handling protected health information with encryption, access controls, and audit logging.

- Partner with machine learning engineers on model infrastructure and inference pipelines.


Requirements

What we're looking for

- 5+ years of relevant engineering experience, with substantial production infrastructure ownership.

- Experience designing and operating distributed systems using Go, Python, or Java.

- Hands-on AWS or comparable cloud experience.

- Depth in data pipelines, ETL, warehouses, data lakes, and schema evolution.

- Experience leading multi-quarter technical initiatives, including at least 2 years as a technical lead or lead engineer.

- Ability to weigh reliability, performance, cost, security, and maintainability tradeoffs independently.

Bonus points

- Startup experience.

- HIPAA or protected-health-information handling experience.

- ML infrastructure, model inference, or TypeScript/React experience.


Benefits

Compensation and benefits

- Base salary: USD 215,000 to 275,000 per year.

- Equity: Competitive equity.

Location and work model

- San Francisco, California, United States.

- Five days per week onsite.

- Visa transfers and new visa sponsorships are supported.

Skills Required

  • 5+ years of relevant software engineering experience
  • Substantial production infrastructure ownership experience
  • Experience designing and operating distributed systems
  • Experience using Go, Python, or Java
  • Hands-on AWS or comparable cloud experience
  • Experience with data pipelines, ETL, data warehouses, data lakes, and schema evolution
  • Experience leading multi-quarter technical initiatives
  • At least 2 years as a technical lead or lead engineer
  • Ability to independently evaluate reliability, performance, cost, security, and maintainability tradeoffs
  • Startup experience
  • HIPAA or protected-health-information handling experience
  • Machine learning infrastructure or model inference experience
  • TypeScript or React experience
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The Company
28 Employees
Year Founded: 2021

What We Do

Raydar is a talent acquisition and business consulting firm that connects world-class and emerging talent with growing organizations. It supports companies through team development, strategic hiring, and customized growth solutions, helping clients recruit roles such as engineers, product managers, executives, legal counsel, and quantitative traders. Raydar focuses on understanding each organization’s needs, culture, and long-term goals to build high-impact teams.

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