Lead Software Engineer

This role will serve as the lead software engineer and technical authority. The individual will be responsible for translating business problems and emerging opportunities into working prototypes, proofs of concept, pilots, and in some case even production ready solutions. • 15+ years of progressive professional software engineering experience, with a proven record of hands-on software delivery, senior technical leadership, and meaningful impact across complex software systems, products, platforms, or enterprise technology environments. • 7+ years of deep full-stack engineering experience across modern front-end, back-end, cloud, API, database, integration, and DevOps technologies. The candidate must have hands-on mastery of both front-end and back-end systems and be able to own features end-to-end, review code, make architecture decisions, and set the engineering quality bar for the team. • 5+ years of experience architecting scalable, secure, cloud-native, enterprise-grade systems, including distributed systems, data-intensive applications, APIs, integrations, cloud services, and modern software platforms. • 2+ years of recent applied AI, machine learning, or generative AI experience, including hands-on experience building AI-enabled applications, prototypes, automations, agents, or internal tools. • Strong hands-on experience with modern software technologies such as TypeScript, JavaScript, React, Next.js, Angular, Vue, Node.js, Python, Django, .NET, Java, Go, Rust, SQL, NoSQL, REST APIs, GraphQL, and event-driven architectures. • Strong cloud-native and DevOps experience, including AWS and/or Azure, Docker, Kubernetes, serverless architectures, microservices, CI/CD, automated testing, observability, infrastructure as code, secure deployment practices, and modern DevSecOps principles. • Experience building AI-enabled solutions using large language models, retrieval-augmented generation, vector databases, embeddings, prompt engineering, AI agents, model evaluation, workflow orchestration, semantic search, or AI-assisted development tools. • Fluency with AI-native engineering practices, including the effective use of tools such as GitHub Copilot, Cursor, or similar AI coding assistants to accelerate software delivery while maintaining engineering discipline. • Demonstrated ability to take ambiguous business problems from concept to working software quickly, especially in prototype-driven, startup-style, advanced engineering, or rapid delivery environments. • Strong understanding of cybersecurity, privacy, data governance, identity and access management, secure architecture, responsible AI, and enterprise software risk management. • Experience integrating with enterprise systems, internal data platforms, APIs, identity providers, business applications, and data sources while navigating access, security, privacy, governance, and compliance constraints. • Proven ability to make high-quality technology decisions under uncertainty, balancing speed, scalability, technical debt, security, cost, compliance, and business value. • Strong people leadership skills, including mentoring engineers, leading technical reviews, running code reviews, developing talent, raising engineering standards, and building high-performing technical teams. • Excellent communication and influence skills, with the ability to engage effectively with executives, business stakeholders, engineers, IT leaders, cybersecurity teams, data teams, product teams, and cross-functional partners. • Bachelor’s or Master’s degree in Computer Science, Software Engineering, Computer Engineering, Artificial Intelligence, Data Science, or a related technical field, or equivalent practical experience. Preferred Qualifications • Prior experience in medtech, healthtech, financial services, aerospace, defense, or another regulated industry where security, privacy, quality, auditability, and compliance are critical. • Familiarity with regulated software practices, including quality management systems, design controls, risk management, validation, auditability, traceability, and healthcare data privacy. • Experience building or leading innovation labs, digital factories, rapid prototyping teams, advanced engineering groups, startup studios, internal product incubation teams, or enterprise AI teams. • Experience with enterprise platforms such as Salesforce, SAP, ServiceNow, Microsoft 365, Power Platform, Snowflake, Databricks, ERP systems, CRM systems, identity platforms, data warehouses, and business intelligence tools. • Experience building software for sales representatives, commercial teams, internal operations, customer support, field service, business unit leaders, or enterprise IT organizations. • Experience with product discovery, design thinking, lean experimentation, customer research, user experience design, and prototype validation. • Advanced degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Biomedical Engineering, or a related technical field preferred.