Jobs at NonStop io Technologies

Analyzes healthcare business and system requirements, documents specifications and workflows, performs gap analysis, and translates business needs into technical solutions. The role validates functionality through test plans, supports healthcare software implementation, ensures HIPAA and standards compliance, trains users, and evaluates project outcomes for process improvements. Requires strong healthcare systems knowledge, stakeholder communication, analytical skills, and familiarity with HL7, ICD, FHIR, Agile, JIRA, and Confluence.

Build real products, solve engineering challenges, collaborate with experienced mentors, and gain hands-on experience with modern technologies in a practical software engineering internship.

Design, develop, deploy, and optimize scalable backend systems, including APIs, databases, and server-side logic. Write maintainable code, participate in reviews, debug issues, create unit tests, and collaborate with DevOps on deployments. Monitor performance, improve scalability, evaluate emerging technologies, and work with cross-functional teams on requirements. The role also involves contributing technical leadership and adapting across technology stacks, including Node.js, Java, and Python, while using AI-assisted development tools.

Design, develop, evaluate, and deploy AI/ML models and scalable solutions for business applications. Responsibilities include data preprocessing, feature engineering, model training, visualization, API development, production integration, data security, documentation, and continuous research into emerging AI/ML technologies. The role collaborates with software engineers, DevOps teams, product managers, and domain experts.

Design, develop, and deploy scalable backend systems, including APIs, databases, and server-side logic. Ensure code quality through reviews and best practices, solve technical challenges, collaborate with stakeholders, and mentor junior team members. The role requires expertise in Node.js/NestJS, Express, PostgreSQL, microservices, distributed systems, cloud platforms, CI/CD, Docker, Kubernetes, and automated testing.

Designs, develops, and maintains scalable Python backend services, RESTful APIs, microservices, and SaaS applications. Collaborates with frontend, product, QA, design, and DevOps teams; contributes to React integrations, architecture, code reviews, automated testing, CI/CD, containerized deployments, and cloud applications. Optimizes databases and services for performance, reliability, and scalability while troubleshooting production issues and supporting continuous engineering improvements.

Responsible for manual and automated quality assurance of enterprise applications. Develop and maintain test plans, execute functional, regression, performance, security, API, and database testing, and manage defects. Build CI/CD test automation pipelines, validate asynchronous systems using messaging platforms, and collaborate with developers, product managers, and cross-functional teams. The role requires strong testing methodology knowledge, automation expertise with Playwright or Selenium, SQL skills, Agile experience, and excellent analytical and communication abilities.

Develop and maintain responsive web interfaces using React.js, reusable UI components, and front-end libraries. Collaborate with cross-functional teams to translate designs into high-quality code, optimize browser performance, debug issues, and improve existing architecture. Participate in code reviews, sprint planning, ticket estimation, and frontend prioritization. The role requires JavaScript and TypeScript expertise, state management experience, API integration, testing familiarity, Git, Agile tooling, and adaptability across technology stacks.

Develop scalable Java backend applications using Spring Boot, REST APIs, microservices, cloud-ready architectures, and distributed systems. Improve application performance, scalability, and reliability while contributing to technical design and architecture discussions. Collaborate with product managers, designers, and engineers, use CI/CD practices and AI-assisted development tools, and build frontend functionality with HTML, CSS, JavaScript, React, or Angular.

Design, build, and maintain scalable bioinformatics applications and genomic, transcriptomic, and multi-omics pipelines. Document software, APIs, analytical methods, and workflows; provide technical consultation; mentor team members; ensure SDLC compliance; and promote reproducible, technically rigorous solutions across genomics, clinical diagnostics, and precision medicine projects.