Bachelor's degree in Computer Science or related field and 8+ years of software engineering experience, or 10+ years of equivalent experience without a degree.
Hands-on development of complex applications and distributed systems.
Proven leadership across the full software development lifecycle (SDLC).
Strong proficiency in modern programming languages like Python, Java, or Go.
Experience with software integrations across platforms and third-party packages.
Ability to design and execute testing strategies for product quality.
Working knowledge of cloud platforms and containerization.
Responsibilities
Lead the architecture, design, development, and testing of software solutions and prototypes.
Evaluate and apply emerging technologies like generative AI and cloud-native services.
Translate business opportunities into scalable software designs and implementation plans.
Mentor engineers and promote a culture of engineering excellence.
Collaborate with cross-functional teams to deliver aligned solutions.
Define technical evaluation methods and success criteria for projects.
Identify technical risks and recommend mitigation strategies.
Benefits
401(k)
Dental insurance
Vision insurance
Disability insurance
Employee assistance program
Health insurance
Health savings account
Life insurance
Paid time off
Paid holidays
Full Job Description
Position Overview
The Lead Software Engineer in the Emerging Technology group is a hands-on technical leader who designs, builds, pilots, and scales next-generation software solutions that apply emerging technologies to high-value business problems. This role combines deep software engineering expertise with practical innovation, turning exploratory concepts into secure, reliable, maintainable, production-ready capabilities.
Key Responsibilities
Lead the architecture, design, development, and testing of modern software solutions, prototypes, pilots, and reusable platform capabilities.
Evaluate, prototype, and apply emerging technologies such as generative AI, agentic workflows, retrieval-augmented generation (RAG), cloud-native services, APIs, automation, and data-driven application patterns.
Translate business opportunities, product goals, and technical requirements into scalable software designs, solution patterns, technical roadmaps, and implementation plans.
Mentor engineers, provide technical direction, facilitate design reviews, and promote a culture of experimentation, engineering excellence, and responsible technology adoption.
Partner with product managers, architects, data scientists, cybersecurity, infrastructure, UX, and business stakeholders to deliver solutions aligned with organizational goals and risk expectations.
Define and implement technical evaluation methods, including proof-of-concept success criteria, model and system performance measures, quality gates, automated testing, monitoring, and production readiness reviews.
Identify technical risks, dependencies, integration needs, security considerations, and operational constraints early in the solution lifecycle and recommend practical mitigation strategies.
Requirements
Required Education & Experience
Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Information Technology, or a related technical field AND 8+ years of software engineering experience, OR
10+ years of equivalent experience without a degree.
Required Qualifications
Hands-on development of complex applications, distributed systems, APIs, platforms, or cloud-native services.
Proven leadership of technical work across the full software development lifecycle (SDLC) using a structured methodology - requirements analysis, architecture, design, coding, testing, and deployment.
Strong proficiency in one or more modern programming languages such as Python, Java, JavaScript/TypeScript, C#, or Go.
Ability to convert business and market requirements into secure, scalable, observable, and maintainable software designs using modern architecture patterns, CI/CD, and DevOps practices.
Experience designing, developing, and maintaining software integrations and interfaces across platforms and third-party packages.
Ability to design, plan, and execute testing strategies that ensure product quality and adherence to requirements.
Working knowledge of cloud platforms, containerization, infrastructure automation, and production support practices.
Strong analytical, critical-thinking, and decision-making skills in ambiguous or rapidly evolving technical environments.
Ability to communicate complex technical topics clearly to engineering, product, architecture, security, and business audiences.
Preferred Qualifications
Experience building or integrating AI/ML, large language model (LLM), agentic, RAG, vector database, or prompt-based solutions.
Experience taking emerging technology concepts from proof of concept through pilot, production hardening, governance review, adoption, and operational support.
Familiarity with responsible AI practices, model evaluation, guardrails, data privacy, compliance, and enterprise risk management.
Experience with serverless architectures, Kubernetes, microservices, event-driven architecture, API management, observability platforms, and infrastructure-as-code.
Track record of identifying high-impact use cases and delivering measurable business outcomes.
Ability to influence technical direction without direct authority and establish reusable engineering standards, patterns, frameworks, or accelerators.
Advanced degree; cloud, AI/ML, or software architecture certification; or contributions to technical communities, open-source projects, patents, publications, or innovation initiatives.
