Cotiviti is a leading solutions and analytics company that leverages unparalleled clinical and financial datasets to deliver deep insight into the performance of the healthcare system. These insights uncover new opportunities for healthcare organizations to collaborate to improve their financial performance, reduce inefficiency, and improve healthcare quality.
The Senior Software Engineer I is a senior individual contributor responsible for building production software using AI native development workflows as part of a small, focused AI Native team. This role works closely with the AI Native Tech Lead and other team engineers to rapidly design, implement, test, and iterate on high quality software.
Senior Software Engineer I's are strong engineers who use AI tools as a first class part of their daily engineering workflow to accelerate development, improve testing, and shorten feedback loops.
This role is not focused on training AI models or building machine learning pipelines.(It focuses on building software efficiently, safely, and at high-quality using AI assisted engineering practices.
Onshore requirement: All work must be performed from within the United States by candidates who are legally authorized to work in the United States. Offshore or nearshore delivery is not permitted for this role. |
| Principal responsibilities and essential duties |
AI-native software development- Build and enhance production-grade software applications using AI-assisted development workflows
- Translate product and technical requirements into working, maintainable software
- Use AI tools to accelerate coding, debugging, testing, refactoring, and documentation
- Review, validate, and refine AI-generated code to ensure correctness, performance, security, and maintainability
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Application design and implementation- Design and implement clean, well-structured APIs, services, and application components
- Contribute to scalable backend systems and full-stack solutions as required by the team
- Apply sound engineering judgment to balance speed, quality, and long-term maintainability
- Participate in design discussions, code reviews, and technical reviews within the team
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AI orchestration and workflow execution- Orchestrate the effective use of AI tools across development activities, including:
- Code generation and refactoring
- Test creation and validation
- Debugging and issue analysis
- Documentation and design artifacts
- Work within the boundaries set by the team for AI agent behavior, including where automation is permitted, where human review is required, and what actions are explicitly disallowed
- Follow and help refine the AI-native engineering standards established by the Tech Lead
- Contribute feedback and improvements to AI-assisted workflows and development practices
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Collaboration and team execution- Collaborate closely with the AI-Native Tech Lead to implement architectural and engineering best practices
- Work effectively within a small AI-native team to deliver features end to end
- Coordinate with adjacent teams as needed for integration, dependencies, and shared services
- Share AI-enabled engineering practices with teammates and give actionable feedback in code reviews
- Communicate technical issues and tradeoffs clearly to engineering and product stakeholders
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Quality, stability, and continuous improvement- Ensure adherence to Cotiviti technology standards, secure coding practices, and SDLC requirements.
- Analyze and resolve software issues originating from internal or external customers.
- Execute enhancements to improve system performance, reliability, and availability.
- Continuously improve knowledge of new tools, technologies, and AI assisted development practices.
- Complete all responsibilities as outlined on annual Performance Plan.
- Complete all special projects and other duties as assigned.
- Must be able to perform duties with or without reasonable accommodation.
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| Requirements |
Required qualifications- Bachelor's or master's degree in computer science, information technology, information systems, engineering, or a related field, or equivalent work experience
- 5 9 years of professional software engineering experience, with demonstrated experience building and shipping production applications
- Demonstrated experience building and shipping production applications.
- Comfortable using AI assisted development tools as part of daily engineering workflow.
- Strong debugging, problem solving, and code review skills.
- Proficiency in one or more programming languages such as Java, .NET, Python, or similar.
- Experience working with relational databases and SQL.
- Familiarity with CI/CD pipelines and modern development practices.
- Good written and verbal communication skills.
- Strong collaboration and teamwork skills
- Ability to learn and adapt quickly in a rapidly evolving technical environment.
- Detail-oriented approach to software quality and correctness.
- Strong sense of ownership for delivered outcomes.
- Proficiency working with large data sets.
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Preferred qualifications- Experience working in fast-paced product or platform teams
- Experience building internal tools, automation, or developer utilities
- Experience with cloud platforms such as AWS, Azure, or OCI
- Experience with containerization (Docker, Kubernetes), microservices architectures, and DevOps practices
- Familiarity with NoSQL databases
- Familiarity with Agile development methodologies and tools
- Experience in healthcare or data analytics environments
- Interest in improving developer productivity and engineering workflows
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