Senior /Lead Java FSD developer
Spectraforce
Plano, TX, United States
2 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
0 years minimum
Working hours
Regular working hours
Job source
Tech stack
Java (Programming Language)
JavaScript (Programming Language)
Application Programming Interfaces (APIs)
Agile Methodology
Artificial Intelligence
Amazon Web Services
Automation of Tests
Cloud Engineering
Continuous Integration
Cross-Origin Resource Sharing (Ajax Programming)
Data Validation
Amazon DynamoDB
+49 more
Identity and Access Management
Java Virtual Machine (JVM)
JSON
Python (Programming Language)
PostgreSQL
Load Testing
MySQL
Node.Js
NoSQL
Performance Tuning
Redis
Coupa Supplier Portal
Microsoft Copilot
Message Oriented Middleware
Software Engineering
Spinnaker
SQL Databases
TypeScript
Management of Software Versions
WebSocket
Openapi
Datadog
Data Processing
ReactJS
Retrieval-Augmented Generation
Large Language Models
Grafana
Multi-Agent Systems
Prompt Engineering
Spring-boot
Caching
Agentic-AI
Cloudformation
Blazemeter
Kubernetes
Apache Kafka
Claude
Api Design
Cloudwatch
Restful APIs
Amazon Simple Queue Service (SQS)
Terraform
Splunk
Dynatrace
Serverless Computing
Docker
Jenkins
Web Api
Microservices
Job description
We’re seeking a hands-on Lead Java FSD who can build, and scale API-first platforms and integration with AI assisted and/or AI First approach.
Requirements
- Java, Springboot, Microservices, REST API’s, API Integration, Kafka, ReactJS, TypeScript, Java Script, Websockets, & NodeJS
- Agile methodologies such as CI/CD & experience with service workers, Grafana, Splunk, Dynatree
- Commercial Banking knowledge a plus, * 12+ years professional software engineering experience; 3+ years architecting cloud-native services on AWS.
- Expert in Java 11+/17/21, SpringBoot, REST, JSON, OpenAPI, and asynchronous messaging (SNS/SQS/Kafka).
- Strong with integration patterns (sync/async), API versioning, backwards compatibility, schema evolution, and contract testing (Pact/WireMock).
- Deliver production-grade solutions by integrating agentic AI, LLMs/SLMs, MCP, RAG, agent orchestration frameworks, and automation to elevate how clients experience our products.
- Build end-to-end capabilities across a cloud-native stack- React + TypeScript/JavaScript on the front end and Java/Spring Boot microservices on the back end.
- Establish strong engineering practice through CI/CD pipelines (e.g., Jenkins, Spinnaker), automated testing and load testing (e.g., Blazemeter), and production observability/monitoring (e.g., Splunk, Dynatrace).
- Design, deploy, and operate scalable, event-driven micros-services on AWS using Docker, Kubernetes, serverless compute, and messaging patterns.
- Partner with product, design, data, architecture, and risk/control stakeholders to deliver secure, stable, and scalable AI solutions that solve real business problems
- Nice to have: Python experience for LLM engineering and data processing (e.g., building small services, automation, and evaluation harnesses).
- Proficient with SQL (PostgreSQL/MySQL/Aurora) and at least one NoSQL (DynamoDB/DocumentDB); caching with Redis.
- Proficient in CI/CD, IaC (Terraform/CloudFormation), Docker, and container orchestration (ECS/EKS).
- Solid observability (logs, metrics, traces) and performance tuning (JVM, DB, API latency, throughput).
- Security-first mindset: IAM, KMS, Secrets Manager, WAF, CORS, CSP, input validation.
- Excellent communication, stakeholder management, and mentoring skills.
Preferred qualification, capabilities, & skills
- Experience with micro frontends, CEN/XFS API’s, Terraform
- Exposure to Java, Spring Boot, RESTful, Dynamo
- Experience with Datadog, CloudWatch, Open Telemetry
- Knowledge of AI-assisted coding tools (e.g., Copilot, Claude, Gitub etc.) and prompt engineering for LLM’s
Years of Experience: 12.00 Years of Experience
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