Software Engineer – Full Stack
Listed on 2026-02-28
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Software Development
Full Stack Developer, Cloud Engineer - Software, Software Engineer
Job Info
This role will be a senior individual contributor and technical leader on a collaborative team building cloud‑native, healthcare‑focused applications on Google Cloud Platform (GCP). The Staff Software Engineer will design, build, and operate secure, scalable, high‑performance end‑to‑end solutions using Java/Spring Boot microservices and modern web frameworks such as Next.js and React
JS. This role partners closely with Product Management, UX, Analytics, and cross‑functional engineering teams to deliver impactful solutions that advance our mission of providing compassionate, personalized care through technology.
Day‑to‑day partner to Engineering Manager / Tech Lead.
TeamWorks closely with backend, frontend, Dev Ops, product, UX, analytics, and support teams.
Key Responsibilities- Lead the architecture, design, and development of secure, scalable, and high‑performing full‑stack solutions.
- Provide technical leadership and mentorship to senior engineers and team members across backend and frontend domains.
- Design, build, and secure scalable RESTful APIs and Graph
QL endpoints. - Develop high‑quality, maintainable backend services using Java and Spring Boot.
- Develop modern, performant web applications using Next.js / React
JS, JavaScript, and Type Script. - Implement Test‑Driven Development (TDD) and ensure strong unit and integration test coverage.
- Conduct comprehensive code and architectural reviews; ensure compliance with quality, security, and performance standards.
- Drive engineering best practices and coding standards across teams to improve reliability and scalability.
- Participate in Agile ceremonies (sprint planning, reviews, retrospectives) and produce clear technical documentation and architecture designs.
- Communicate effectively across teams and departments, influencing technical direction and architectural decisions.
- Independently address and resolve high‑priority technical issues.
- Partner with Product Management, UX, Analytics, and Support to align on roadmap priorities and technical trade‑offs.
- Lead major refactors, system redesigns, and long‑term technical improvements while balancing technical debt and business needs.
- Develop reusable frameworks, shared components, and internal tooling.
- Lead post‑mortems and implement sustainable improvements based on learnings.
- 7 years of professional software development experience in an Agile environment.
- Extensive experience architecting and implementing scalable microservices using Java and Spring Boot.
- Proven experience delivering complex full‑stack applications using Next.js / React
JS. - Strong experience designing, developing, and consuming RESTful APIs, event‑driven APIs, and Graph
QL. - Hands‑on expertise with ELK Stack (Elasticsearch, Logstash, Kibana) for search use cases.
- Solid understanding of object‑oriented design, design patterns (GoF), data structures, and algorithms.
- Experience with both relational databases (Postgre
SQL) and No
SQL stores (Redis). - Hands‑on experience with Docker and Kubernetes, including Helm charts.
- Experience with message‑driven systems (e.g., GCP Pub/Sub, Cloud Run, AWS SQS).
- Strong knowledge of CI/CD pipelines and modern Dev Ops practices.
- Experience with Behavior‑Driven Development (BDD) and Atlassian tools (JIRA, Confluence).
- Deep knowledge of Computer Science fundamentals in OOAD, design patterns (including the Gang of Four), data structures, and algorithms.
- Strong understanding of both relational (Postgres) and No
SQL databases (Redis, Mongo
DB). - Strong understanding of native mobile app development for iOS and Android, including platform‑specific UI/UX patterns and device capabilities.
- Excellent verbal and written communication skills.
- Backend:
Java, Spring Boot, Spring Data JPA, Spring Cloud Config, JUnit, Mockito, Elasticsearch, Logstash, Kibana - Frontend:
Next.js, React
JS, JavaScript, Type Script, Jest - Databases:
Postgre
SQL (Cloud SQL), Redis - Dev Ops:
Git Hub, Jenkins, Maven, Yarn, CI/CD pipelines - Cloud:
Google Cloud Platform (GKE, Cloud Run, Pub/Sub, GCS) - Observability:
Dynatrace (or similar APM), Log Explorer, Alert Policies - Agile /
Collaboration:
Jira, Confluence
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