• Design, develop, and maintain high-performance, modular, and scalable Java applications using Spring Boot 3.4.x. • Architect and implement cloud-native solutions, ensuring best practices for distributed systems, reliability, maintainability, and observability. • Integrate observability into applications, including metrics collection, distributed tracing, structured logging, and proactive monitoring. • Collaborate with cross-functional teams to deliver robust RESTful APIs and microservices. • Optimize application performance, memory usage, and reliability. • Lead and mentor junior engineers, performing code reviews and setting engineering best practices. • Integrate and utilize AI coding assistants (such as GitHub Copilot or similar tools) to accelerate development and improve code quality. • Contribute to the evolution of our architecture and technology stack with a focus on modern Java, modularization, cloud technologies, and observability. • Ensure security, compliance, and observability of all deployed services. • Participate in Agile development processes, including planning, estimation, and retrospectives.

• Lead technical workshops to identify, refine, and prioritize high-impact AI and GenAI use cases aligned with business objectives. • Translate business problems into system design requirements and AI workflows. • Assess existing data platforms, pipelines, governance, and accessibility for AI workloads. • Evaluate data quality, lineage, security, and suitability for training, RAG, and inference patterns. • Design AI architectures that comply with enterprise security, privacy, and regulatory constraints (PII, PHI, internal policies). • Evaluate and design integrations across APIs, event streams, and existing systems. • Evaluate and recommend foundation models and AI services, including Amazon Bedrock, Amazon Nova, and open-source models. • Analyze tradeoffs across cost, latency, accuracy, and scalability. • Design GenAI patterns such as RAG, agent workflows, and inference pipelines. • Produce high-level and detailed AWS reference architectures for prioritized AI use cases. • Define phased implementation roadmaps that balance speed, risk, and long-term maintainability. • Identify PoC scope that can be executed within a short engagement. • Partner with stakeholders to develop ROI and TCO models for AI initiatives. • Provide cost modeling for model usage, data pipelines, infrastructure, and operations. • Deliver AI assessment findings and recommendations. • Create target-state AI platform architecture diagrams. • Summarize data readiness and compliance assessments. • Provide model evaluation and selection rationale. • Define phased implementation roadmap. • Design and validate PoC. • Prepare executive-ready presentations and documentation.

• Design and improve backend services that support complex business workflows. • Build and evolve distributed systems using modern cloud-native patterns. • Architect and implement event-driven and asynchronous workflows. • Collaborate closely with Salesforce, data, and product teams to ensure system reliability and scalability. • Improve performance, observability, and fault tolerance of existing systems. • Contribute to architectural decisions and long-term technical strategy. • Remain hands-on in coding while participating in design discussions.

Company Description Webtellect is an established software consulting firm.  We are equivalent to the finest "custom home builders" as it applies to software.  We build software for those companies who have funding but not the resources, or for those companies who have the resources but not bandwidth.  We analyze, design, develop, test, deploy, maintain, and learn from our engagements to improve for the next.  We all share a passion and joy for software excellence.  As such, Webtellect consultants are highly coveted. Job Description Responsibilities: Duties include, but are not limited to: Work closely with product management and the lead architect to translate business requirements into scalable and highly available tools Qualifications Solid experience working within a Microservices setting including REST/API development experience Must have experience with Amazon Web Services (AWS) including Lambda, Kinesis, API Gateway, CloudFormation, VPC Languages: NodeJS primarily, though we do have services build in Python Solid experience working with Unix/Linux environments for development, including package management and basic system administration. Experience developing software against documented third-party APIs and working with vendors to identify and correct issues and drive enhancements. Experience working with IT systems, with a solid understanding of network protocols and standards (e.g. DNS, TCP, HTTP, FTP, SSH). Experience with CI/CD Pipelines, Unit and Automated Integration Testing, Application Logging and Monitoring tools Additional Information Notes: US Citizens or Green Card holders only Will be W2 hourly Employee of Webtellect Long-term contract Other Skills: Strong communication and presentation skills Teamwork mentality with willingness to help others Proactive thinking Continuous improvement and quality focused mindset