Sr. Application Developer - Legacy System Modernization

The Senior Application Developer – Legacy Modernization strengthens and evolves legacy systems by improving operational stability, enhancing observability, and migrating core services to modern, scalable platforms. This role designs and executes modernization strategies, establishes engineering standards, and leverages automation, CI/CD, and AI‑assisted development tools to accelerate system transformation. It balances innovation with business continuity by improving system reliability, enabling efficient incident response, and managing technical risk across both legacy and modern environments.

• Designs, develops, and implements the incremental migration of legacy application logic to C#/.Net, establishing scalable patterns, reusable components, and engineering standards.
• Evaluates existing batch and online processes for modernization readiness and defines migration strategies that balance technical risk, cost, and business continuity.
• Establishes and maintains CI/CD pipelines, integrates automated testing into build processes, and defines code review and branching standards.
• Leverages generative and agentic AI tools to accelerate code analysis, refactoring, migration, and test generation across both legacy and modern codebases.
• Develops modular, well‑documented, and testable code with strong unit and integration test coverage to support long‑term maintainability.
• Conducts thorough code reviews focused on correctness, readability, performance, and adherence to established patterns, incorporating AI‑assisted review tooling where appropriate.
• Identifies inefficiencies in systems and workflows, proposing practical, data‑driven improvements that enhance reliability, performance, and productivity.
• Troubleshoots and resolves issues in legacy and modern systems by triaging incidents, performing root cause analysis, and driving timely resolution based on business impact.
• Enhances system instrumentation to increase observability and lower the long‑term cost of maintenance, evaluating AI‑assisted monitoring and anomaly detection where appropriate.
• Identifies, documents, and manages operational and technical risks, prioritizing resolution based on business impact.
• Coordinates cross‑functionally during active incidents, communicating status and resolution progress to relevant stakeholders and escalating appropriately when issues exceed defined scope or severity thresholds.
• Contributes to the growth of operational knowledge artifacts by authoring and maintaining runbooks, post‑mortems, and internal documentation – translating incident learnings into reusable institutional knowledge that reduces future resolution time.
• Other duties as needed or assigned.

• Advanced understanding of information processing principles and practices.
• Expert‑level proficiency in C# and .Net.
• Experience with microservices architectures; ability to select appropriate tools and frameworks based on system requirements.
• Solid understanding of relational databases and SQL, including performance optimization and schema design.
• Demonstrated ability to work in AI‑augmented development environments, leveraging generative and agentic AI tools for design, code generation, and automation.
• Experience with incremental decomposition of monolithic systems into domain services utilizing patterns such as strangler fig or branch by abstraction.
• Experience building and maintaining CI/CD pipelines (Git Hub Actions, Azure Dev Ops, or similar), integrating test automation within the build pipeline, and managing infrastructure or deployments through code.
• Experience leveraging agentic AI systems to assist with development tasks, with strong validation, testing, and quality assurance practices.
• Working knowledge of data privacy, security, and regulatory considerations in application development.
• Advanced analytical, conceptual, and problem‑solving abilities.
• Strong understanding of the organizational goals and alignment of technical solutions to business outcomes.
• Effective written and oral communication skills, including the ability to explain complex technical concepts to non‑technical stakeholders.
• Strong…