Lead Software Engineer
Role details
Job location
Tech stack
Job description
The Lead Software Engineer in the Emerging Technology group is a hands-on technical leader responsible for designing,
building, piloting, and scaling next-generation software solutions that apply emerging technologies to high-value business problems. This role combines deep software engineering expertise with practical innovation, helping translate exploratory concepts into secure, reliable, maintainable, and production-ready capabilities.
What You Will Do:
- 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, 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, learning, engineering excellence, and responsible technology adoption.
- Collaborate with product managers, architects, data scientists, cybersecurity, infrastructure, UX, and business stakeholders to deliver solutions aligned to organizational goals and risk expectations.
- Define and implement technical evaluation methods, including proof-of-concept success criteria, model or 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
Decision Making and Critical Thinking: Knowledge of the decision-making process and associated tools and techniques; ability to accurately analyze situations and reach productive decisions based on informed judgment.
Software Development: Knowledge of software development tools and activities; ability to produce software products or systems in line with product requirements.
Software Development Life Cycle: Knowledge of software development life cycle; ability to use a structured methodology for delivering and managing new or enhanced software products to the marketplace.
Software Integration Engineering: Knowledge of software integration processes and functions; ability to design, develop and maintain interfaces and linkage to alternative platforms and software packages.
Software Product Design/Architecture: Knowledge of software product design; ability to convert market requirements into the software product design.
Software Product Technical Knowledge: Knowledge of technical aspects of a software products; ability to design, configure and integrate technical aspects of software products..
Software Product Testing: Knowledge of software product testing; ability to design, plan, and execute testing strategies and tactics to ensure software product quality and adherence to stated requirements.
Considerations For Top Candidates:
- Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Information Technology, or a related technical discipline; equivalent practical experience may be considered.
- Progressive professional experience in software engineering, including hands-on development of complex applications, distributed systems, APIs, platforms, or cloud-native services.
- Demonstrated ability to lead technical work across the full software development lifecycle, including requirements analysis, architecture, design, coding, testing, deployment.
- Strong proficiency in one or more modern programming languages such as Python, Java, JavaScript/TypeScript, C#, Go, or similar languages.
- Experience designing scalable, secure, observable, and maintainable software using modern architecture patterns, APIs, automated testing, CI/CD, and DevOps practices.
- Working knowledge of cloud platforms, containerization, infrastructure automation, integration patterns, and production support practices.
- Ability to communicate complex technical topics clearly to engineering, product, architecture, security, and business stakeholders.
- Demonstrated analytical, problem-solving, and decision-making skills in ambiguous or rapidly evolving technical environments.
Preferred Qualifications
- Experience building or integrating AI, machine learning, generative AI, large language model, agentic, retrieval-augmented generation, 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, cybersecurity, compliance, and enterprise risk management considerations.
- Experience with modern cloud services, serverless architectures, Kubernetes, microservices, event-driven architecture, API management, observability platforms, and infrastructure-as-code.
- Experience partnering with product, design, data, security, architecture, and business teams to identify high-impact use cases and deliver measurable business outcomes.
- Proven ability to mentor engineers, influence technical direction without direct authority, and establish reusable engineering standards, patterns, frameworks, or accelerators.
- Advanced degree, cloud certification, AI/ML certification, software architecture certification, or demonstrated contribution to technical communities, open-source projects, patents, publications, or internal innovation initiatives.
Benefits & conditions
Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.
- Medical, dental, and vision benefits*
- Paid time off plan (Vacation, Holidays, Volunteer, etc.)*
- 401(k) savings plans*
- Health Savings Account (HSA)*
- Flexible Spending Accounts (FSAs)*
- Health Lifestyle Programs*
- Employee Assistance Program*
- Voluntary Benefits and Employee Discounts*
- Career Development*
- Incentive bonus*
- Disability benefits
- Life Insurance
- Parental leave
- Adoption benefits
- Tuition Reimbursement