SuperDial Logo

SuperDial

Staff Software Engineer

Reposted 18 Days Ago
Be an Early Applicant
Hybrid
Burlingame, CA, USA
Senior level
Hybrid
Burlingame, CA, USA
Senior level
The Staff Software Engineer will design backend services, APIs, and infrastructure for AI-powered healthcare tools, ensuring reliability and compliance.
The summary above was generated by AI

SuperDial is hiring a Tech Lead, Software Engineering to help scale the infrastructure and systems behind our AI-driven healthcare products. You’ll play a critical role in designing high-performance backend services, APIs, and platform components that power real-time voice and automation tools used by healthcare providers across the country.

About the Role:

  • Design and implement backend services that support mission-critical workflows for AI-powered healthcare tools.

  • Build scalable APIs, data pipelines, and infrastructure that ensure high reliability, security, and performance.

  • Collaborate with cross-functional teams, including product, frontend, and machine learning engineers, to ship end-to-end features.

  • Lead backend architecture decisions, contribute to system design reviews, and promote best practices in code quality, testing, and monitoring.

  • Improve developer experience by refining build systems, CI/CD pipelines, and internal tooling.

  • Help maintain compliance and data integrity across a HIPAA-sensitive stack.

About You:

  • 5+ years of experience in backend software engineering, ideally in high-scale, cloud-native environments.

  • Strong programming skills in Python.

  • Deep experience building RESTful or gRPC APIs, and working with microservices architecture.

  • Hands-on experience deploying and operating backend systems on GCP.

  • Proficiency in relational and/or NoSQL databases (e.g., Postgres, Redis, DynamoDB).

  • Comfortable working with containerized environments (Docker, Kubernetes) and infrastructure-as-code tools like Terraform.

  • Strong systems thinking and a bias for building reliable, maintainable services.

Why SuperDial?

  • Be part of a fast-growing AI startup transforming the healthcare industry.

  • Own meaningful technical scope and contribute directly to product impact.

  • Join a mission-driven, collaborative, and ambitious team.

  • Enjoy competitive salary, equity, and benefits - including health, dental, and vision coverage.

About SuperDial

SuperDial is redefining AI in healthcare. We specialize in voice and LLM-powered solutions for revenue cycle management — helping clinics and health systems operate faster, smarter, and more efficiently. Backed by top-tier investors, we’re growing quickly and hiring engineers to build the next generation of healthcare infrastructure.

HQ

SuperDial San Francisco, California, USA Office

San Francisco, CA, United States

Similar Jobs

Yesterday
Easy Apply
Remote or Hybrid
United States
Easy Apply
162K-290K Annually
Senior level
162K-290K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Own technically complex, mission-critical areas and define technical strategy for new products. Design and ship full‑stack, AI‑driven features end‑to‑end, build scalable data ingestion and API systems, partner with product/design/customer teams to translate ambiguous problems into measurable outcomes, mentor engineers, and raise engineering quality and standards across the organization.
Top Skills: CursorGoIotJavaScriptLlmsPythonReactTypescript
Yesterday
Easy Apply
Hybrid
San Jose, CA, USA
Easy Apply
158K-225K Annually
Senior level
158K-225K Annually
Senior level
Cloud • Information Technology • Security • Software • Cybersecurity
Lead quality engineering and test automation for Zscaler's distributed security cloud. Use AI-assisted frameworks to generate and execute test plans, validate bug fixes, and collaborate with developers and product. Support core cloud operations including phased rollouts, feature enablement, alert handling, capacity planning, performance benchmarking, chaos testing, and diagnosing complex distributed failures to maintain high availability.
Top Skills: Ai-Assisted Testing FrameworksAWSDatapathGCPObservability ToolsOperational AutomationTest AutomationZero Trust Architecture
2 Days Ago
Hybrid
Mountain View, CA, USA
Senior level
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Build and productionize reliable, scalable agentic AI systems (orchestration, sandboxed execution, latency optimization, agent memory, self-reflection, knowledge graphs, multimodal I/O). Implement frontier AI algorithms, ship production-grade code, mentor engineers, collaborate with ML, security, product, and UX teams, and drive roadmap and reliability improvements.
Top Skills: Agentic AiCode Execution EnvironmentsGoJavaKnowledge GraphsLlmsMultimodal I/OOpenaiPythonSandboxed File Systems

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account