Staff Software Engineer - RnD Enablement.

The Opportunity

As a Staff Software Engineer on Hinge Health’s Service Enablement team, you will build the platforms, services, and engineering practices that other teams at Hinge Health rely on to ship software safely and quickly.

Service Enablement treats Hinge Health engineers as its customers. The team builds paved roads, automation, and platform capabilities in developer experience, cloud and service platforms, reliability, observability, security, CI/CD, and AI/ML enablement. The goal is to remove friction, improve operational maturity, and make the default path the easiest one for product and infrastructure teams.

This is a hands-on Staff Engineer role. You will write production code, lead architecture and design reviews, participate in operational response, and coach engineers toward stronger technical ownership. Expect to turn broad engineering needs into technical strategy, lead initiatives that span several teams, and set standards that get adopted beyond your own pod.

You will work closely with Engineering, Product, Security, Data, ML, and Infrastructure to balance delivery speed against reliability, security, cost, and maintainability. As Hinge Health expands its use of AI across the software development lifecycle and the care platform, you will also help make those AI and ML workloads reliable, cost efficient, and responsibly run.

The problems in this role are foundational. Fixing them makes every engineering team at Hinge Health more effective, and the software they ship helps make healthcare more accessible and affordable.

What You’ll Accomplish

• Own a multi-quarter technical roadmap for one or more Service Enablement domains, based on what internal engineering teams actually need.

• Lead architecture and design for highly available, secure, and maintainable platforms and services that cross pod boundaries.

• Build and maintain paved roads for service development, deployment, observability, reliability, and operational ownership.

• Improve developer productivity with automation, reusable frameworks, self-service workflows, and documentation that people can follow.

• Set practical standards for SLOs, alerting, incident response, capacity management, service ownership, and production readiness.

• Work with product and engineering teams to run AI and ML workloads reliably and cost efficiently, including inference systems where they make sense.

• De-risk ambiguous problems with prototypes, spikes, and experiments that produce measurable results.

• Write and lead RFCs, design reviews, and technical decision records. Explain trade-offs clearly to technical and non-technical stakeholders.

• Take part in production operations and eliminate recurring failure modes with systemic fixes.

• Deliver large initiatives from strategy through production adoption, and measure the result: platform adoption, developer productivity, reliability, cost, or reduced operational toil.

• Mentor engineers, coach senior engineers into broader technical leadership, help with hiring, and raise the bar for engineering practice across the organization.

Hinge Health Hybrid Model

We believe that remote work and in-person work have their own advantages and disadvantages, and we want to be able to leverage the best of both worlds. Employees in hybrid roles are required to be in the office 3 days/week.

This is a Bengaluru-based role that involves regular interaction and collaboration with Hinge Health colleagues in San Francisco, CA.

• Time zones: San Francisco is in the Pacific Time Zone, which is 12 hours and 30 minutes behind India Standard Time (e.g., 8am in San Francisco is 8:30pm in Bengaluru).

• Hours: Applicants should be open to meetings in the late evening following India Standard Time to align with San Francisco working hours (8:30 pm - 10:30pm IST).

Basic Qualifications

• Bachelor’s Degree (or equivalent) in Computer Science, Engineering or related technical field

• 10+ years of professional software development, or equivalent depth building and operating production systems.

• 4+ years with at least one modern programming language such as TypeScript/JavaScript,Go, Python.

• 4+ years across the full software development lifecycle: design, implementation, testing, deployment, and production operations.

• 4+years of experience in cloud infrastructure and containerized workloads such as AWS, Kubernetes, or EKS.

• Experience in software design and distributed systems fundamentals: reliability, scalability, performance, failure modes, and API or platform contracts.

• Experience operating production systems, including observability, incident response, root cause analysis, and reliability improvement.

• Experience treating internal platforms and developer experience as products, with attention to usability, adoption, and measurable outcomes.

• Experience with using AI tools such as Github copilot, Cursor, Claude etc

Preferred Qualifications

• Experience building internal developer platforms, service templates, golden paths, CI/CD systems, or self-service infrastructure.

• Experience with platform security, identity and access management, compliance controls, or secure-by-default engineering.

• Experience supporting AI/ML teams with inference infrastructure, model serving platforms, evaluation workflows, or cost and performance optimization.

• Experience defining and maintaining SLOs and SLAs, using error budgets, service-health metrics, alerting, on-call practices, incident response, and root-cause analysis to improve reliability.

• Experience with event-driven systems, workflow orchestration, service networking, or large-scale data and messaging infrastructure.

• Experience defining platform metrics such as adoption, deployment lead time, change failure rate, availability, developer satisfaction, or operational toil.

• Experience mentoring senior engineers or acting as technical lead for a platform migration, modernization effort, or organization-wide launch.

• Experience working in healthcare, privacy-sensitive, regulated, or otherwise high-trust environments.

About Hinge Health

At Hinge Health, we’re using technology to scale and automate the delivery of healthcare, starting with musculoskeletal (MSK) conditions, which affect over 1.7 billion people worldwide. Our AI-powered, human-centered care model spans MSK, pelvic health, gastrointestinal (GI) and migraine care. With over 60 partnerships with health plans, PBMs and other ecosystem partners, Hinge Health is available to over 25 million people across more than 2,900 employers. The company is headquartered in San Francisco with additional offices in Montreal and Bangalore. Learn more at hingehealth.com.

What You'll Love About Us

• Inclusive healthcare and benefits: In addition to comprehensive medical, dental, and vision coverage, we provide employees and their family members with Group Medical Coverage (GMC), Group Term Life Insurance (GTL), and Group Personal Accident Insurance (GPA).

• Well-being & Growth: We offer a lifestyle stipend to support your overall well-being, along with learning and development opportunities to help you grow both personally and professionally.

• Ownership: Grow with us through discounted company stock through our ESPP with easy payroll deductions.

Culture & Engagement

Hinge Health is an equal opportunity employer and prohibits discrimination and harassment of any kind. We make employment decisions without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, pregnancy, or any other basis protected by federal, state or local law.

By submitting your application you are acknowledging we are using your personal data as outlined in the Personnel and Candidate Privacy Policy.

Beware of Phishing Attempts: We've noticed an increase in phishing where fraudsters impersonate employees and send fake job offers to steal sensitive information. We'll never ask for financial details during the hiring process and only use "@hingehealth.com" emails. If you receive a suspicious offer, stop communication and report it to the US FBI Internet Crime Complaint Center. To verify an email from our recruiting team, forward it to security@hingehealth.com.

This Staff Software Engineer role builds internal platforms and engineering capabilities that help teams deliver software reliably and efficiently. The work spans platform architecture, production code, service operations, developer experience, and enablement for AI/ML workloads, with technical direction across teams.

Role at a glance

Skills mentioned

What you will likely work on

• Set technical direction and roadmaps for service enablement domains based on engineering team needs.
• Design and build secure, reliable, maintainable platforms and services used across teams.
• Develop paved paths, automation, reusable frameworks, and self-service workflows for software delivery and operations.
• Improve production readiness through service standards, observability, alerting, incident response, and capacity practices.
• Help teams operate AI/ML workloads with appropriate reliability and cost efficiency.
• Prototype solutions to uncertain problems and evaluate results against measurable outcomes.
• Lead technical proposals and design discussions, communicating trade-offs across technical and non-technical groups.
• Participate in production operations and address recurring failures with systemic improvements.
• Mentor engineers, support hiring, and raise engineering practices across the organization.

Good fit signals

• Has 10+ years in professional software development or equivalent depth building and operating production systems.
• Brings at least four years with a modern programming language and experience across the software lifecycle and cloud/container platforms.
• Can guide platform architecture and initiatives that span teams while remaining hands-on in production code and operations.
• Has experience treating internal platforms and developer experience as products, including usability, adoption, and measurable outcomes.
• Experience with platform enablement, security, AI/ML infrastructure, reliability practices, or regulated and privacy-sensitive environments is useful; these are preferred areas.