Sr Java Fullstack Developer

#LI-CGTS || #TS-5662Where 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 environmentLeading Innovator in Machine Learning/AI, Big Data, AWS, trading algorithmsWe 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 combinedGoogle, Amazon, Facebook & other tech icons follow the client as a model and recruiting baseAmazon Web Services- select Partner: We use cloud computing to automate and store massive amounts of dataRole: Mid/Sr Java Fullstack Developer (multiple roles)Location: Rockville, MD or Tysons, VA (hybrid - 3 days)Duration: This is long termMust have’s:Python or javaAngular (ballpark 3years)AWSCI/CD(basic Docker), cloud1+ year LLM (ex: OpenAI, Anthropic, Bedrock) for prompt/code assistBonus: Financial/regulatory, Langchain LLmaindex or similar LLM orchestration, RAG implementation, AI/ML open source project contribution.Qualifications5-7 years of professional software engineering experienceStrong proficiency in backend languages: Python and/or Java3+ years of production experience with Angular (latest versions), TypeScript, RxJS, and state management (NgRx)Experience designing and implementing RESTful APIs and/or GraphQL servicesHands-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) databasesSolid 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 modelsPreferred QualificationsExperience in regulatory or financial services environmentExperience building human-in-the-loop review systems, annotation platforms, or approval workflows for AI outputsExperience with LangChain, LlamaIndex, or similar LLM orchestration frameworksBackground 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 monitoringExperience with microservices patterns (circuit breakers, service mesh, distributed tracing)Experience with feature flagging, canary deployments, or progressive delivery strategiesContributions to open-source projects or technical publications in AI/ML domainsKey CompetenciesEnd-to-end ownership of features from UI to databaseStrong debugging and troubleshooting skills across the full technology stackAbility to balance business needs, technical constraints, and scalabilityExcellent collaboration and communication skills with cross-functional teamsStrong commitment to automated testing and code qualityRapid adoption of new technologies, particularly in AI/ML landscape