Develop and maintain scalable Java and Spring Boot backend applications and REST APIs. Optimize CPU, memory, and overall application performance; identify bottlenecks; resolve production issues; and contribute to architecture, code reviews, reliability, and scalability. The role also involves Node.js or Python FastAPI services, cross-functional collaboration, and potential work with GraphQL, generative AI, cloud platforms, containers, CI/CD, and monitoring tools.
Position Overview
We are looking for a Senior Java Backend Developer with strong experience in Java, Spring Boot, and backend application development. The ideal candidate should have a solid understanding of application performance, including CPU and memory optimization, along with hands-on experience in Node.js or Python FastAPI. Exposure to Generative AI and/or GraphQL will be an added advantage.
Key Responsibilities
- Design, develop, and maintain scalable and high-performance backend applications using Java and Spring Boot.
- Develop robust RESTful APIs and backend services following best practices for security, scalability, and maintainability.
- Analyze and optimize application performance, with a strong focus on CPU utilization, memory management, and overall system efficiency.
- Identify performance bottlenecks and implement appropriate optimization and tuning techniques.
- Collaborate with frontend, DevOps, architecture, and product teams to deliver end-to-end solutions.
- Develop or integrate services using Node.js or Python FastAPI as required.
- Troubleshoot complex production and application-level issues and drive root-cause resolution.
- Participate in code reviews, technical discussions, and architectural decision-making.
- Contribute to improving application reliability, scalability, and performance.
- Stay current with emerging technologies and contribute to the adoption of modern backend engineering practices.
Required Qualifications
- Strong hands-on experience with Java backend development.
- Strong experience with Spring Boot and Spring-based application development.
- Solid understanding of CPU and memory optimization techniques in backend applications.
- Experience in identifying and resolving performance bottlenecks.
- Hands-on experience with Node.js or Python FastAPI.
- Strong understanding of REST APIs, microservices, and backend architecture.
- Good understanding of software development lifecycle, coding standards, and version control.
- Strong problem-solving and debugging skills.
Preferred Skills
- Exposure to Generative AI / Gen AI technologies and use cases.
- Experience with GraphQL and GraphQL-based APIs.
- Experience with cloud platforms and cloud-native application development.
- Familiarity with containerization and CI/CD practices.
- Experience with application monitoring and performance profiling tools.
Compensation, Benefits and Duration
Minimum Compensation: USD 44,000
Maximum Compensation: USD 154,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is available for independent contractors
No applications will be considered if received more than 120 days after the date of this post.
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With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
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- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
