Staff SW Engineer

Overview

Develop scalable backend services, APIs and data-processing components for AWS cloud and hybrid applications, building Java and Spring Boot microservices.

What you'll do

• 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.

What you'll need

• 8–10 years of backend development experience.
• Strong Java and Spring Boot microservice 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.

Nice to have

• Bachelor's 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.

Details

• 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.
• 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.