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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Java developer - **Company:** Spectraforce - **Location:** Jersey City, NJ, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Amazon Web Services, Cloud Engineering, Configuration Management, Code Review, Computer Programming, Continuous Availability, Document Management Systems, Java Platform Enterprise Edition (J2EE), Fault Tolerance, GIS Applications, Monitoring of Systems, Performance Tuning, Query Optimization, Reliability Engineering, Site Reliability Engineering Practices, Cloud Services, Spatial Data Infrastructures, Data Logging, Spring-boot, Software Security, AWS ECS, Containerization, Microservices - **Published:** October 16, 2026 - **Apply:** http://leoforce.us/Careers/Spectraforce/JobDetails.html?jobid=0ef82fb8-3b52-4fa9-a64a-d6cf507b4142&OrgId=1&UserId=6484 ## About the Role Required Skills : Java,Java Springboot,SRE,AWS ECS,Springboot Microservices Certifications Required : AWS Certified Developer Associate recommended along with certification in Java programming or equivalent enterprise Java credential, Demonstrate deep expertise in Java development using springboot with a proven record of building scalable microservices for large scale applications over more than a decade. Show advanced proficiency in AWS ECS including containerization task definitions service configurations and integration with supporting cloud services. Apply strong SRE experience by designing for reliability implementing error budgets and using automation to manage incidents and operational tasks. Exhibit solid understanding of geospatial concepts data formats and spatial processing workflows used in modern mapping and location based solutions. Display practical experience with monitoring tools logging frameworks and tracing solutions that support observability in distributed Java microservice environments. Possess hands on background in secure deployment practices CI workflows and configuration management suited for office based development and operations teams. Prefer prior work on cloud native geospatial platforms where Java springboot microservices and AWS container services were central to the solution delivery. Years of Experience : 12to14Yrs ## Description Job summary : senior developer Java role in a global organization focused on building scalable geospatial platforms using cloud native services and robust microservice architectures. The role demands extensive experience in Java springboot microservices and AWS ECS along with strong SRE practices to ensure reliability and performance of geospatial applications used by customers worldwide., Design and implement complex geospatial services using Java springboot microservices to support high volume spatial data processing and analytics for enterprise clients. Develop and optimize container based applications deployed on AWS ECS to ensure efficient use of compute resources and predictable performance for mission critical workloads. Architect robust service integrations that enable seamless communication between microservices while maintaining clear boundaries and high cohesion across geospatial components. Implement resilient patterns including health checks circuit breaking and graceful degradation to maintain continuous availability of geospatial services during partial system failures. Apply SRE principles to define reliability targets track service level indicators and continuously improve service level objectives for core geospatial platforms. Build comprehensive automation for deployment monitoring and incident response to reduce manual effort and accelerate recovery times for production environments. Conduct detailed performance tuning of Java springboot services including profiling garbage collection analysis and query optimization to meet stringent latency goals. Collaborate with product and mapping domain teams to translate geospatial business requirements into technical designs that deliver clear user value and social impact. Review code and mentor peers on secure coding standards microservice best practices and effective use of cloud native capabilities to raise overall engineering quality. Establish observability through metrics logs and traces to diagnose complex issues in distributed geospatial systems and drive data informed improvements. Ensure robust testing strategies including unit integration and contract tests so that changes to geospatial services can be delivered with confidence and minimal regression risk. Document system designs operational runbooks and support guides to enable smooth knowledge transfer and efficient onboarding for future team members. Align daily development activities with organizational goals by delivering geospatial features that enhance decision making in areas such as infrastructure planning and environmental management.