Staff SW Engineer

Job Description Summary

Develop scalable backend services, APIs and data-processing components for AWS cloud and hybrid applications.

Build Java and Spring Boot microservices using secure API, database, messaging and observability patterns.

Integrate relational or NoSQL databases, AWS services and appropriate open-source components.

Write unit and integration tests and debug application, database, network and performance issues.tex

Role Summary

Write unit and integration tests and debug application, database, network and performance issues.

Key Roles and Responsibilities

• Design and implement Java/Spring Boot services and REST APIs.
• Develop microservices, business logic and data-processing components.
• Design and integrate relational and NoSQL databases.
• Use appropriate AWS services for compute, storage, messaging, security and observability.
• Integrate open-source components and external services securely.
• Implement authentication, authorization, validation, logging and error handling.
• Write unit, integration, contract and API tests.
• Debug application, database, network and performance issues.
• Participate in design reviews, code reviews, CI/CD and production support.

Required Qualifications and Skills

• 8–10 years of backend development experience.
• Strong Java and Spring Boot mincroservice development.
• REST APIs and microservices architecture.
• SQL, relational database concepts and NoSQL exposure.
• AWS services and Docker/container fundamentals.
• Open-source libraries, Git and CI/CD.
• Strong testing, debugging and problem-solving skills.
• Handling Legacy, third party and second party integrations.

Desired Qualifications

• Bachelors or master’s degree in STEM subjects.
• Kubernetes, Kafka or equivalent messaging technologies.
• Redis/caching and event-driven application design.
• WebSocket, real-time streaming, HL7 or FHIR experience.

Common Engineering Expectations

• Cloud-native and hybrid cloud/on-premises product development using AWS services.
• Containers, Kubernetes, CI/CD, Infrastructure as Code and production observability.
• Secure engineering, identity and access management, encryption, secrets management and DevSecOps.
• Performance, scalability, availability, reliability, fault tolerance and disaster recovery.
• Automated unit, integration, API, system, performance and reliability testing.
• Strong design, coding, debugging, root-cause analysis and technical documentation practices.
• Integration challenges of third party and second party SaaS solutions.
• Working with AI-DLC and software development acceleration.

Healthcare and Medical Device Context

• Experience in regulated healthcare or medical-device development is required for the Verification Lead and strongly preferred for senior architecture, automation and program roles.
• Strong knowledge on SDLC, PRD process, Risks, FMEAs.
• Awareness of patient-data privacy, cybersecurity and secure handling of clinical information.
• Knowledge of healthcare interoperability standards such as DICOM, HL7 and FHIR.
• Experience with real-time clinical data, device connectivity, patient monitoring or high-availability clinical applications is advantageous.