Senior Lead Software Engineer - Java/Python/AWS/AI/LLM

What you'll do

• Lead complex full-stack initiatives from concept through production, setting technical direction and architecture.
• Build and operationalize microservices, APIs, and AI/LLM services; establish engineering, security, testing, and delivery standards.
• Own reliability and operations, including SLOs, incident response, observability, CI/CD, and mentoring engineers.

What they ask for

• Formal training or certification in software engineering concepts and 5+ years of applied experience, in addition to 7+ years building production systems, including leading complex initiatives.
• Strong system design, application development, production operations, and on-call/incident ownership experience.
• Experience building microservices and RESTful APIs, cloud-native systems on AWS, GCP, or Azure, and distributed systems.
• Hands-on experience with enterprise-authorized AI-assisted development tools and LLM/generative AI use cases, including evaluation, validation, and responsible use.

Nice to have

• AWS cloud certification(s); AI/ML or GenAI certification(s), or equivalent practical experience delivering LLM-enabled capabilities.
• Advanced Java and working knowledge of Python; Docker, Kubernetes, modern CI/CD, multi-region deployment, or disaster recovery experience.

Tools

AWS, GCP, Azure, Java, Python, Docker, Kubernetes, CoPilot

AI focus

Leads delivery of LLM-based services, orchestration, and workflow integrations; promotes enterprise-authorized AI-assisted engineering and reusable validation practices, with attention to evaluation, monitoring, and responsible use.