This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead Application Modernization Engineer based in the United States.
This role is designed for an experienced engineer who can lead technical delivery while helping organizations modernize complex applications and adopt AI-driven solutions.
You will own a defined technical scope, design scalable architectures, write production-quality code, and guide a team of engineers through successful implementation.
The position combines hands-on engineering expertise, technical leadership, and client collaboration within enterprise transformation initiatives.
You will help modernize legacy systems, build cloud-native applications, and integrate intelligent technologies that improve how organizations operate.
This is an opportunity to work on challenging projects, influence engineering standards, and deliver meaningful technology outcomes for enterprise clients.
The ideal candidate brings strong software engineering depth, architectural experience, and the ability to mentor teams while delivering high-quality solutions.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead Application Modernization Engineer based in the United States.
This role is designed for an experienced engineer who can lead technical delivery while helping organizations modernize complex applications and adopt AI-driven solutions.
You will own a defined technical scope, design scalable architectures, write production-quality code, and guide a team of engineers through successful implementation.
The position combines hands-on engineering expertise, technical leadership, and client collaboration within enterprise transformation initiatives.
You will help modernize legacy systems, build cloud-native applications, and integrate intelligent technologies that improve how organizations operate.
This is an opportunity to work on challenging projects, influence engineering standards, and deliver meaningful technology outcomes for enterprise clients.
The ideal candidate brings strong software engineering depth, architectural experience, and the ability to mentor teams while delivering high-quality solutions.
Accountabilities:
- Own a defined portion of technical delivery by designing solutions, making architecture decisions, and ensuring the quality of engineering outcomes within your workstream.
- Architect and implement modernization strategies for legacy systems, including decomposing monolithic applications, developing APIs, migrating data, and maintaining reliable production environments.
- Build full-stack, production-grade applications across frontend interfaces, backend services, APIs, integrations, and complex enterprise systems.
- Write, review, and improve code across multiple programming languages and technical approaches while establishing strong engineering standards.
- Design scalable cloud-native architectures, including event-driven systems, microservices, and solutions that can be maintained by future engineering teams.
- Integrate AI capabilities into enterprise applications through intelligent automation, LLM-powered workflows, retrieval-augmented generation (RAG), and agent-based solutions.
- Implement CI/CD pipelines, delivery automation, and engineering practices that enable reliable and frequent software releases.
- Identify technical risks early, communicate challenges clearly, and escalate broader architectural decisions when needed.
- Create prototypes and proofs of concept to validate ideas, explore new approaches, and accelerate innovation.
- Lead and mentor a small team of engineers through task planning, code reviews, technical guidance, and knowledge sharing.
- Serve as a technical point of contact for client stakeholders, providing visibility into progress, challenges, decisions, and delivery outcomes.
- Support business development activities and contribute technical expertise to client opportunities.
- 7+ years of hands-on software engineering experience with demonstrated technical leadership experience.
- Strong experience building and delivering full-stack applications, including both new development and legacy application modernization.
- Deep expertise in at least one area of the technology stack with the ability to collaborate effectively across frontend, backend, cloud, and infrastructure layers.
- Experience designing production systems, making architecture decisions, documenting tradeoffs, and taking ownership of technical outcomes.
- Proven experience working with enterprise environments, distributed systems, complex architectures, and multi-cloud platforms.
- Strong programming skills across multiple languages and paradigms, with the ability to write clean, scalable, and maintainable code.
- Experience with cloud-native architectures, CI/CD automation, branching strategies, infrastructure concepts, and production operations.
- Familiarity with Kubernetes, managed container platforms, infrastructure as code, observability, and modern platform engineering practices.
- Experience delivering AI-powered features in production environments, including LLM integrations, RAG pipelines, or agentic workflows.
- Regular use of AI development tools such as Claude, Cursor, Windsurf, or similar solutions to improve engineering productivity and quality.
- Strong communication skills with the ability to collaborate with clients, engineers, architects, and business stakeholders.
- Ability to mentor engineers, provide constructive feedback, and raise the technical capabilities of a team.
- Must be authorized to work in the United States or Canada without sponsorship.
- Ability to travel approximately 25–50% depending on client needs.
- Competitive annual base salary ranging from $140,000–$180,000 depending on experience.
- Comprehensive benefits package.
- Unlimited paid time off.
- Funded HSA option.
- 401(k) match program.
- Monthly LiveWell wellness stipend.
- Quarterly company bonus opportunities.
- Opportunity to work on impactful enterprise modernization and AI transformation initiatives.
- Collaborative environment focused on innovation, learning, and technical excellence.
- Exposure to complex engineering challenges and cutting-edge technologies.