Sr Java Fullstack Developer

Unisys

United States

United States

About

#LI-CGTS || #TS-5662 Where we work: Our AWS partnered analytics organization owns the world’s biggest financial data store and runs continuous analytics on global stock data movement. Our mission is to ensure investor protection and market integrity. We are constantly working on how to “hack/break” market systems with the goal of being ahead of potential bad actors in the market. Our environment Leading Innovator in Machine Learning/AI, Big Data, AWS, trading algorithms We work on the world’s largest financial store (21 petabytes when complete). There is no other comparable opportunity in the market. We look at 130 billion financial transactions every day. That's more than Twitter, Visa®, PayPal and Facebook combined Google, Amazon, Facebook & other tech icons follow the client as a model and recruiting base Amazon Web Services- select Partner: We use cloud computing to automate and store massive amounts of data Role: Mid/Sr Java Fullstack Developer (multiple roles) Location: Rockville, MD or Tysons, VA (hybrid - 3 days) Duration: This is long term Must have’s: Python or java Angular (ballpark 3years) AWS CI/CD(basic Docker), cloud 1+ year LLM (ex: OpenAI, Anthropic, Bedrock) for prompt/code assist Bonus: Financial/regulatory, Langchain LLmaindex or similar LLM orchestration, RAG implementation, AI/ML open source project contribution. Qualifications 5-7 years of professional software engineering experience Strong proficiency in backend languages: Python and/or Java 3+ years of production experience with Angular (latest versions), TypeScript, RxJS, and state management (NgRx) Experience designing and implementing RESTful APIs and/or GraphQL services Hands-on experience with AWS services (Lambda, ECS/EKS, API Gateway, S3, RDS, DynamoDB) and containerization (Docker, Kubernetes) Proficiency with both relational (PostgreSQL) and NoSQL (MongoDB, DynamoDB) databases Solid understanding of application security principles (OWASP Top 10, secrets management, least-privilege access) 1+ years working with LLMs (OpenAI, Anthropic, AWS Bedrock), prompt engineering, or embedding models Preferred Qualifications Experience in regulatory or financial services environment Experience building human-in-the-loop review systems, annotation platforms, or approval workflows for AI outputs Experience with LangChain, LlamaIndex, or similar LLM orchestration frameworks Background implementing RAG architectures with vector databases (Pinecone, Weaviate, pgvector, OpenSearch) Familiarity with event-driven architectures and messaging systems (Kafka, AWS SQS/SNS, Kinesis) Exposure to observability tooling (Datadog, Grafana, CloudWatch) including AI/ML model monitoring Experience with microservices patterns (circuit breakers, service mesh, distributed tracing) Experience with feature flagging, canary deployments, or progressive delivery strategies Contributions to open-source projects or technical publications in AI/ML domains Key Competencies End-to-end ownership of features from UI to database Strong debugging and troubleshooting skills across the full technology stack Ability to balance business needs, technical constraints, and scalability Excellent collaboration and communication skills with cross-functional teams Strong commitment to automated testing and code quality Rapid adoption of new technologies, particularly in AI/ML landscape

United States

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