Lead Java Developer

Job Role:Staff/ Principal Software Engineer
Location:Hybrid job at St Louis, MO(3 Days Onsite must)
Duration :6-12+ Months Contract

• Design and build end-to-end signal-processing flows, includingCDN/edge detection, API ingestion, processing, sandbox storage, and downstream routing.
• Architect and implementedge-layer solutions using edge-worker runtimes and CDN-layer compute for token detection, header manipulation, and signal capture with minimal latency impact.
• Design and develop scalable backend services usingJava and Spring Boot, including APIs, signal validation and normalization pipelines, data persistence, and service foundations.
• Define integration patterns forthird-party KYA and identity providers, including JWT validation, public-key caching, and deterministic signal ingestion.
• Build platform capabilities supportingML inference, including structured data-access layers, feature pipelines, model-serving integrations, and model-registry connectivity.
• Partner closely with Data Science teams to move ML solutions fromexperimentation to production.
• Make architecture and technology decisions related tostorage, transport reliability, observability, security, and governance within AWS environments.
• Design scalablemicroservices and event-driven architectures for reliable signal processing and downstream integrations.
• Take ownership of system design decisions and communicate architecture effectively across engineering and cross-functional teams.
• Work effectively in a fast-paced, startup-like environment with evolving requirements, rapid prototyping, and iterative architecture refinement.

• 10+ years of experience building and operating production-grade distributed systems.
• Strong expertise inJava and Spring Boot.
• Extensive experience designingREST APIs, microservices, and event-driven architectures.
• Strong hands-on experience withAWS, including cloud compute, storage, networking, and IAM.
• Hands-on experience withEdge/CDN technologies, such as:
  • Edge Workers
  • CDN Functions
  • Lambda@Edge
  • CloudFront or equivalent edge-compute platforms
• Experience building or supportingML inference pipelines, including:
  • Data normalization
  • Feature pipelines / feature stores
  • Model serving
  • Model-registry integrations
• Demonstrated experience usingAI-assisted development tools, such as:
  • GitHub Copilot
  • LLM-powered development workflows
  • Agentic coding assistants
• Proven ability to build systems from0 to 1 and work effectively with ambiguous or evolving requirements.
• Strong system-design and architecture skills, with the ability to translate ambiguous product requirements into technical solutions.
• Strong communication and collaboration skills with engineering, product, data science, and partner teams.

• Experience inidentity, trust, or security domains.
• Knowledge of:
  • JWT / JWS
  • PKI
  • OAuth 2.0
  • Token verification
  • Bot detection
• Python experience for data engineering, automation, or scripting.
• Experience withDatabricks or similar AI/data platforms.
• Experience implementingobservability at scale, including:
  • Distributed tracing
  • Structured logging
  • Monitoring dashboards
• Experience buildingmulti-party integration layers, network services, or platform services.
• Contributions toopen-source projects or active participation in technical communities.

• Build AI-enabled platforms, rather than simply consuming AI services.
• Have shipped systems thatserve ML models or feed ML inference pipelines.
• Use AI tools and LLMs to significantly improve their engineering productivity.
• Are comfortable operating without perfect specifications and canprototype, ship, learn, and iterate quickly.
• Collaborate effectively withData Science, Product, Engineering, and Partner teams.
• Influence technical direction throughcode, architecture, and system design, rather than relying solely on organizational title.