Staff Engineer

Position Overview:As a Staff Engineer, you’ll shape and scale enterprise automation while bringing generative AI and intelligent agents into production. You’ll solve complex, high-impact problems, lead architecture and engineering standards, and turn promising ideas into secure, reliable, production-ready solutions. This is a hands-on Staff-level role where you’ll build, influence technical direction, and mentor engineers to deliver lasting business value.Responsibilities:Lead the architecture and delivery of enterprise automation and AI-powered solutions, including generative AI applications, intelligent agents, retrieval-augmented generation, document intelligence, and AI-assisted process automation, while balancing delivery priorities, operational risk, technical debt, and long-term maintainabilityEvaluate emerging technologies and AI models to improve automation platforms and engineering practices based on business value, technical fit, and operational riskLead technical delivery across multiple cross-functional agile teams for enterprise automation and integration initiativesAdvise Product Owners and business stakeholders on technical feasibility, backlog priorities, solution design, and delivery strategyDesign and guide the delivery of automation services, APIs, event-driven applications, and workflow-orchestration solutions across cloud, on-premises, and hybrid environmentsArchitect Kafka event-streaming solutions, including producers, consumers, message schemas, and integration patternsDefine and apply deployment, scalability, resilience, and support patterns for containerized workloads in KubernetesEstablish and govern engineering standards for solution quality and operational readiness, including architecture and code reviews, automated testing, security, resilience, observability, release practices, and resolution of complex production issuesMentor engineers through design reviews, technical coaching, and collaborative problem-solving, fostering a supportive environment for growth and shared successQualifications:Bachelor’s degree in computer science or a related field and 7+ years of enterprise software engineering experience with .NET, C#, SQL Server, REST APIs, JSON, and XML, or 10+ years of equivalent experienceExperience building or integrating generative AI, intelligent agents, retrieval-augmented generation, document intelligence, or other AI-enabled solutions3+ years of experience with Kafka, event-driven architectures, or messaging platforms3+ years of experience with Kubernetes, Docker, or container orchestration technologies5+ years of experience with DevOps and CI/CD tools such as Azure DevOps or Jenkins Strong understanding of distributed systems, integration patterns, and automation frameworksStrong analytical and problem-solving skills, with the ability to communicate complex technical concepts, decisions, and trade-offs to technical and non-technical audiencesAbility to work effectively both independently and within agile teamsWhere you'll be: 601 South Harbour Island Blvd., Suite 230, Tampa, FL 33602Employment visa sponsorship is unavailable for this position. Applicants requiring employment visa sponsorship now or in the future (e.g., F-1 STEM OPT, H-1B, TN, J1 etc.) will not be considered.