Senior Software Engineer I

Jobtailor; Burlingame (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Jobtailor seeks an experienced backend engineer to design, build, and maintain services for AI-driven healthcare workflows. You will develop scalable APIs and data systems in a GCP-based environment, collaborating across product, ML, and operations teams to ship end-to-end improvements.

You will own well-scoped projects, emphasize reliability and security, and contribute to tooling and developer experience as the startup scales.

Qualifications

• 3+ years of professional software engineering experience in backend/platform/full-stack development.
• Strong Python programming skills and production backend experience.
• Experience building production services, APIs, and distributed systems.
• Familiarity with RESTful or gRPC APIs and microservices architecture.
• Hands-on experience with cloud infrastructure, preferably GCP.
• Experience with relational/noSQL databases (Postgres/Redis/DynamoDB).
• Experience with containers (Docker) and container orchestration (Kubernetes).
• Willingness to deepen IaC tools like Terraform.
• Strong debugging skills and emphasis on reliability and observability.
• Ability to own well-scoped projects and collaborate with senior engineers.

Responsibilities

• Design, build, test, and maintain backend services supporting AI-powered healthcare workflows.
• Develop scalable APIs, data systems, integrations, and platform components for voice and automation products.
• Partner with Product Management to clarify requirements and align technical work with customer impact.
• Operate backend systems in a modern, GCP-based cloud environment.
• Write clean, maintainable code with a focus on testing, observability, performance, and security.
• Debug production issues, identify root causes, and improve system reliability.
• Participate in code reviews and design discussions with the engineering team.
• Collaborate with frontend, ML, product, and operations teams to ship end-to-end improvements.
• Improve internal engineering practices, tooling, and developer experience as the team scales.
• Ensure HIPAA-sensitive data care and data integrity across workflows.

Skills

Python

Backend development

APIs (REST/gRPC)

Distributed systems

Cloud infrastructure (GCP)

Databases (Postgres/Redis/DynamoDB)

Docker & Kubernetes

Terraform (IaC)

Debugging production systems

Systems thinking

Ownership & initiative

Cross-functional collaboration

AI/voice tech curiosity

Tools

Docker

Kubernetes

Terraform

Job description

• Design, build, test, and maintain backend services that support AI‑powered healthcare workflows.
• Build scalable APIs, data systems, integrations, and platform components for SuperDial’s voice and automation products.
• Partner closely with Product Management to clarify requirements, shape implementation plans, and connect technical work to customer impact.
• Develop and operate backend systems in a modern, GCP‑based cloud environment.
• Write clean, reliable, maintainable code with attention to testing, observability, performance, and security.
• Debug production issues, identify root causes, and improve system reliability and quality.
• Participate in code reviews, technical discussions, and design reviews with engineering teammates.
• Collaborate with frontend, infrastructure, machine learning, product, and operations teams to ship end‑to‑end product improvements.
• Help improve internal engineering practices, tooling, documentation, and developer experience as the team scales.
• Build with awareness of HIPAA‑sensitive data, compliance needs, and data integrity across healthcare workflows.

Requirements

• 3+ years of professional software engineering experience, ideally in backend, platform, or full‑stack product development.
• Strong programming skills in Python.
• Experience building and maintaining production backend services, APIs, and distributed systems.
• Comfortable working with RESTful or gRPC APIs and service‑oriented or microservices architectures.
• Hands‑on experience with cloud infrastructure; GCP experience is strongly preferred.
• Experience with relational and/or NoSQL databases such as Postgres, Redis, or DynamoDB.
• Familiarity with containerized environments such as Docker and Kubernetes.
• Exposure to infrastructure‑as‑code tools such as Terraform, or excitement to deepen that experience.
• Strong debugging skills and comfortable operating production systems.
• Systems thinking and a bias toward building reliable, maintainable services.
• Independently own well‑scoped projects while partnering effectively with senior engineers on complex technical decisions.
• Communicate clearly and work well with Product Management and cross‑functional partners.
• Curiosity about AI, voice technology, automation, healthcare infrastructure, and revenue cycle management.
• High ownership, low ego, and a bias toward action in a fast‑moving startup environment.