> Markdown version of [/jobs/ext/3249089-java-solution-architect-capital-markets-trading-platforms](https://www.wearedevelopers.com/jobs/ext/3249089-java-solution-architect-capital-markets-trading-platforms). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Java Solution Architect - Capital Markets & Trading Platforms - **Company:** Sapient Corporation - **Location:** Boston, MA, United States - **Salary:** $160,000.0 - $205,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Cloud Computing, Code Review, Continuous Integration, Data Stores, Data Systems, DevOps, Memory Management, Middleware, Hazelcast, High-Frequency Trading, NoSQL, Performance Tuning, Systems Development Life Cycle, Redis, SQL Databases, Multithreading, Spring Cloud, GitHub Copilot, Spring-boot, Reliability of Systems, Generative AI, Containerization, Gitlab-ci, Kubernetes, Low Latency, Apache Kafka, Docker, Jenkins, Microservices - **Published:** September 22, 2026 - **Apply:** https://diversityjobs.com/candidate/trackback_apply?vacancyId=[vacid] ## About the Role * Trading Lifecycle: Deep understanding of the full trade lifecycle (Order Management, Execution, Clearing, and Settlement). * Domain knowledge on what different asset classes are and how PnL / Performance Attribution is done for positions created using such trades * Direct Experience working on realtime pricing and their performance attribution for providing analytics at low latency to the consumers using realtime data., * Java Expertise: Expert-level proficiency in Core Java (v17+ preferred), including advanced multi-threading, concurrency patterns, and the Java Memory Model. * Microservices Architecture: Extensive experience with Spring Boot, Spring Cloud, and containerization (Docker/Kubernetes). * Messaging & Integration: Hands-on experience with high-performance messaging middleware like Apache Kafka, Solace, or Aeron. * Data Systems: Proficiency in low-latency data stores (Redis, Hazelcast) and SQL/NoSQL databases for trade persistence and auditing. * Proven experience with AWS Services, Linux/Unix environments * Ability to lead technical solution design and architecture discussions * Proficiency in using AI pair-programmers and engineering assistants (specifically GitHub Copilot and/or Claude Code) to optimize workflow efficiency and accelerate problem-solving * Testing & CI/CD: Commitment to TDD/BDD practices and automated pipeline integration (Jenkins, GitLab CI) ## Description As a Java Architect, you will lead the design, development, and implementation of scalable, high-performance microservices-based solutions. You will work closely with cross-functional teams to deliver cutting-edge digital solutions that drive business value and enhance customer experiences. Technical Leadership * Lead and mentor a team of engineers delivering enterprise-scale data solutions * Provide hands-on guidance across architecture, design, development, and troubleshooting * Drive best practices in coding standards, performance optimization, and system reliability * Conduct code reviews and enforce quality and security standards * Lead the adoption of Generative AI tools Platform Development * Architecture & Development: Lead the design and implementation of distributed microservices using Java/Spring Boot tailored for high-frequency trading environments. * Performance Optimization: Conduct deep-dive performance tuning, GC optimization, and memory management to maintain sub-millisecond execution speeds. * Platform Governance: Design and enforce "Safe Trading" protocols, including pre-trade risk checks and automated circuit breakers within the microservices mesh. Cloud & Infrastructure * Architect and deploy solutions in AWS environment * Implement scalable, secure, and high-availability solutions Delivery & Collaboration * Partner with Product, Business Analysts, and stakeholders to translate requirements into technical solutions * Manage project timelines, deliverables, and resource allocation * Ensure alignment with SDLC processes, DevOps practices, and CI/CD pipelines