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.
Similar Jobs
Digital Media • Information Technology • News + Entertainment
Manages advertising agency accounts across linear and digital media, supporting retention, upsell, campaign execution, client satisfaction, and revenue growth. Translates client objectives into media recommendations, coordinates proposals and insertion orders, maintains Salesforce records, monitors campaign delivery, resolves issues with cross-functional teams, supports forecasting and reporting, and drives operational improvements. Requires strong client communication, problem-solving, organization, and collaboration skills.
Top Skills:
Salesforce
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handle inbound calls and warm leads, consult customers on insurance needs, recommend appropriate Property and Casualty coverage, and convert prospects into policyholders. The role includes paid training and licensing support, requires strong sales, communication, persuasion, organization, and computer skills, and involves working remotely on a weekday and weekend schedule.
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handles inbound calls and warm leads, consults customers on insurance needs, recommends appropriate Property and Casualty coverage, and converts prospects into policyholders. The role includes paid licensing and training, customer relationship building, sales closing, and representing the Liberty Mutual brand. Employees work remotely on a fixed weekday and weekend schedule and must maintain a professional home workspace with reliable wired internet.
Top Skills:
Cable InternetDslFiber InternetPcWired High-Speed Internet
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
