Role: Senior Java Architect
Location: Menlo Park, CA (Remote)
Duration: 12 Months contract
Visa: Independent Visa only
Job Description:
The ideal candidate will have deep expertise across Java, Spring Boot, event-driven microservices,
cloud platforms, Kubernetes, modern frontend technologies, and enterprise architecture, along with
hands-on experience integrating Generative AI and intelligent application capabilities into enterprise
platforms.
▪ 12+ years of overall software development experience with strong enterprise Java background.
▪ Java 17/21+, Spring Boot, Spring Cloud, Spring Security – strong hands-on experience required.
▪ Enterprise Microservices + Distributed Systems + REST API architecture.
▪ Apache Kafka / Kafka Streams with event-driven architecture experience.
▪ Debezium CDC and real-time data/event processing experience.
▪ Kubernetes + Docker + Helm with production enterprise deployments.
▪ KEDA for event-driven Kubernetes autoscaling.
▪ Istio or Linkerd service mesh experience.
▪ Argo CD / GitOps for Kubernetes CI/CD deployments.
▪ React.js + TypeScript/JavaScript for modern full-stack development.
▪ Generative AI integration into enterprise Java applications is required.
▪ LangChain4j / Spring AI + RAG + AI Agents experience strongly required.
▪ MCP integration with enterprise Java applications is a key differentiator.
▪ Strong AWS/Azure, OAuth2/OIDC, JWT, PostgreSQL/Oracle, Redis and OpenTelemetry
experience preferred.
Pre-Screening Questions
Q1: Does the candidate have expertise building event-driven microservices using Java 17/21+, Spring Boot, and Spring Security?
Q2: Has the candidate implemented real-time data processing pipelines and event-driven architectures using Apache Kafka / Kafka Streams along with Debezium CDC?
Q3: Has the candidate integrated Generative AI, RAG architecture, or AI Agents into enterprise Java applications using tools like LangChain4j, Spring AI, or Model Context Protocol (MCP)?
Q4: Does the candidate have hands-on experience deploying enterprise workloads to Kubernetes using Helm, GitOps (Argo CD), service meshes (Istio/Linkerd), and KEDA for autoscaling?
Additional InformationAll your information will be kept confidential according to EEO guidelines.
Skills Required
- 12+ years of overall software development experience
- Strong enterprise Java development experience
- Hands-on experience with Java 17/21+, Spring Boot, Spring Cloud, and Spring Security
- Experience with enterprise microservices, distributed systems, and REST API architecture
- Experience with Apache Kafka or Kafka Streams and event-driven architecture
- Experience with Debezium CDC and real-time data or event processing
- Production enterprise deployment experience with Kubernetes, Docker, and Helm
- Experience with KEDA for event-driven Kubernetes autoscaling
- Experience with Istio or Linkerd service meshes
- Experience with Argo CD or GitOps for Kubernetes CI/CD deployments
- React.js and TypeScript or JavaScript experience for modern full-stack development
- Generative AI integration experience in enterprise Java applications
- Experience with LangChain4j or Spring AI, RAG, and AI agents
- MCP integration experience with enterprise Java applications
- AWS or Azure experience
- OAuth2/OIDC and JWT experience
- PostgreSQL or Oracle experience
- Redis and OpenTelemetry experience
- Independent work visa
What We Do
Technology Management Solutions (TMS, LLC), headquartered in Parsippany, New Jersey, is a premier IT company specializing in digital product engineering and innovative technology solutions. Since our inception in 2021, we have empowered businesses across industries—Financial Services, Retail, Medical, Entertainment, Manufacturing, and Automotive—to achieve their digital transformation goals. Our mission is to design and deliver cutting-edge solutions that drive growth, streamline operations, and enhance modern digital experiences.At TMS, we partner with our clients throughout the entire product development lifecycle, from ideation to commercialization. Our expertise spans next-generation technologies, including Artificial Intelligence (AI), Machine Learning (ML), Internet of Things (IoT), and custom software development. With tailored engagement models, we accelerate product development, ensuring faster time-to-market and measurable success.
