About Nava
This role is open for multiple levels and titles. Final title/compensation will be determined by how your interview weighs against our core competencies during your interview cycle.
Position summary
As a Legacy Lockpicks Engineer, you will help define and build innovative approaches to legacy system modernization. You will work across the modernization lifecycle, from understanding complex legacy applications to designing migration strategies, validating replacement systems, and developing tools that accelerate modernization efforts.
This role is ideal for a full-stack engineer who enjoys solving difficult technical problems, rapidly prototyping new ideas, and exploring how emerging technologies can be applied to real-world modernization challenges. You do not need to be a generative AI expert, but you should be excited to learn and experiment in a fast-moving space.
What you'll do
- Survey the technical landscape to identify the right tools, platforms, and technologies to accomplish modernization objectives
- Develop solutions that leverage generative AI and traditional engineering approaches to understand legacy systems and their business rules
- Build proofs of concept, prototypes, and demonstration applications that showcase modernization capabilities
- Design and implement approaches for translating legacy systems into modern architectures and technology stacks
- Develop solutions that reduce modernization risk by validating replacement applications and ensuring functional parity
- Brainstorm and evaluate multiple approaches to complex technical problems, identifying trade-offs and risks
- Experiment with new technologies and methodologies to rapidly identify successful patterns and limitations
- Collaborate with engineering teams, subject matter experts, and government stakeholders to understand constraints and build support for modernization strategies
- Create reusable patterns, playbooks, and processes that help teams modernize legacy systems more effectively
- Support modernization efforts by applying tools and approaches to real-world client challenges
Required skills
- Ability to quickly learn new technologies, patterns, and concepts
- Strong knowledge of legacy system modernization and migration patterns
- Experience integrating with, modernizing, or migrating legacy systems
- Experience refactoring, maintaining, or extending complex full-stack applications using a variety of frameworks and technologies
- Proven ability to rapidly prototype concepts to validate technical feasibility and identify implementation risks
- Ability to work independently and turn loosely defined ideas into functional software solutions
- Strong problem-solving skills and comfort navigating ambiguity
- Ability to influence stakeholders and build alignment within large organizations
- Experience balancing experimentation with delivery of reliable, maintainable solutions
- Strong written and verbal communication skills
Desired skills
- Experience applying generative AI technologies, agentic workflows, prompt engineering, or context management strategies
- Familiarity with foundational concepts in artificial intelligence and machine learning
- Experience with Domain-Driven Design (DDD) concepts and patterns
- Experience working on software for government agencies or other highly regulated environments
- Experience applying Human-Centered Design (HCD) principles to software development
- Familiarity with cloud-native architectures, APIs, event-driven systems, and modern software delivery practices
