Senior Fullstack Engineer

We are looking for Software Engineers who have built and shipped products at internet product companies and are ready to own significant pieces of a new healthcare technology platform. Software Engineers are the core builders in DPE: you will take features and services from design to production, make sound engineering decisions, and help Associate Software Engineers grow.

You will join a small, flat team at an early stage, where the systems you design will become the foundations others build on. We move with the pace of a startup, but in healthcare quality is non-negotiable — the software you build will be used by doctors, nurses and patients at the point of care.

Responsibilities:

• Own the design and delivery of backend services, APIs and microservices end-to-end — from design and development through deployment, monitoring and iteration.
• Participate in on-call rotations for the systems you build.
• Design scalable, reliable and secure systems: data models, API contracts, caching strategies, and asynchronous, event-driven workflows.
• Write design documents, make well-reasoned technical decisions, and defend them with clear trade-offs; constructively challenge proposed solutions, including those from senior engineers and leadership.
• Build to a healthcare quality bar, with strong automated testing, security and data-privacy practices — audit trails, role-based access control and encryption of sensitive data, in line with regulations such as the DPDP Act.
• Review code and help raise engineering standards across the team.
• Mentor and unblock Associate Software Engineers through pairing, design discussions and reviews.
• Partner with product managers, designers and clinical and operations teams to translate real-world workflows into technical solutions, including occasional visits to our hospitals, and explain technical trade-offs clearly to non-technical stakeholders.
• Instrument services with logging, metrics and alerting, and use them to diagnose issues, troubleshoot production problems, and optimise performance and reliability.
• Use AI coding assistants and agents across the development lifecycle — design, coding, testing and debugging — while owning every line you ship, whether you or an AI wrote it, and following strict guardrails so patient information is never exposed to unapproved AI tools.
• Help shape the team's AI-assisted engineering practices — shared agent configurations, project context and rules files, guardrails and review standards.

Requirements:

• 3-4 years of backend development experience, including at least 3 years at internet product companies (e. g., consumer internet, e-commerce, fintech, marketplaces or classifieds).
• Experience taking at least one product or major feature through the full development lifecycle — design, build, launch and operation at scale.
• Strong programming skills in Java or Python, with experience in frameworks such as Spring Boot or FastAPI.
• Proficiency in AI-assisted development: using coding agents (e. g., Claude Code, Cursor, GitHub Copilot) to plan, implement, test and refactor — and knowing when not to trust their output.
• Strong problem-solving and data structures and algorithms fundamentals.
• Solid low-level design skills: object-oriented design, design patterns, class design and clean API contracts.
• System design ability: explain and defend the architecture of systems you have built, and design new systems from scratch with clear reasoning on scalability, availability and consistency trade-offs.
• Hands-on experience with relational and NoSQL databases (e. g., PostgreSQL, MySQL, MongoDB), caching (Redis), and messaging or streaming systems (Kafka or similar).
• Strong communication skills, with the confidence to engage senior stakeholders, including clinicians.
• High ownership, comfort with ambiguity, and a hustler's energy to build from the ground up — without compromising on quality.
• A product mindset — curiosity about how hospitals work, and care for the outcome for the user, not just the ticket.
• Depth over frequent switches — we value engineers who have stayed long enough in their roles to see their work through.

Good to have:

• Experience with Docker, Kubernetes, CI/CD pipelines and Git-based workflows.
• Experience with cloud platforms (preferably AWS), and comfort working across cloud and on-premises environments.
• Experience integrating AI/LLM capabilities into production systems.
• Experience building agents or automations for engineering workflows — e. g., test generation, code review, migrations or documentation — using agent frameworks or tool integrations (such as MCP).
• Experience integrating with third-party systems — payment gateways, ERPs, messaging platforms, or device and equipment interfaces.
• Exposure to healthcare, fintech or other regulated domains, or to interoperability standards such as HL7/FHIR.
• Experience mentoring junior engineers.
• Exposure to frontend development.