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.
Photon New York, New York, USA Office
New York, United States
Similar Jobs
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Develops and improves aerospace suppliers producing harness assemblies and electronic components. Leads supplier onboarding, new-product industrialization, process capability, quality, capacity, and delivery improvements across engineering teams and contract manufacturers. Applies PPAP, RCCA, fishbone analysis, process mapping, and 5S to resolve production challenges and scale manufacturing. Requires extensive supplier development experience and international travel up to 50%.
Top Skills:
5SFpc/Ffc AssembliesPpapRccaWire Harness Assemblies
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Leads complex, transformational enterprise sales pursuits from strategic discovery through closing and early customer value realization. Owns deal strategy, commercial architecture, executive engagement, cross-functional orchestration, negotiations, handoff, and outcome tracking. Develops platform transformation visions with technical consultants, creates innovative investment models, aligns internal and ecosystem partners, and codifies pursuit best practices. Requires extensive enterprise software sales, large-deal structuring, executive influence, and transformation experience.
Top Skills:
Artificial Intelligence (Ai)Servicenow Platform
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Leads post-sales transformation and customer success for strategic enterprise accounts. Partners with C-level executives and internal teams to drive adoption, technical health, renewals, customer satisfaction, expansion, and measurable business outcomes. Identifies risks, establishes success metrics, develops transformation roadmaps, and guides Customer Success teams. Requires extensive experience in technology-enabled business transformation, strategic account leadership, consulting, cross-functional execution, and executive relationship management.
Top Skills:
Artificial IntelligenceEnterprise SoftwareSaaSServicenow Ai Platform
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
