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Job Overview
We are seeking a Senior Full Stack Engineer to support the operation, maintenance, modernization, and AI‑enabled evolution of legacy and
business‑critical applications across the Business Solutions Technology organization. This role focuses on improving system stability,
reducing technical debt, modernizing applications, and driving efficiency through intelligent automation and AI‑assisted engineering methods.
You will collaborate with architects, SRE, QA, and business partners to troubleshoot issues, deliver enhancements, strengthen platform
reliability, and support cloud‑ready modernization. The role requires hands‑on engineering expertise, the ability to work across a mix of
modern and legacy platforms, and openness to leveraging AI and generative tools to accelerate delivery and improve code quality.
Responsibilities
- Operate, maintain, enhance, and stabilize legacy and modern applications across Business Solutions.
- Lead foundational upgrades (framework updates, infrastructure refreshes, security patching, performance improvements).
- Modernize legacy systems using cloud‑ready patterns, microservices, and API‑driven designs.
- Use AI‑assisted development tools (e.g., GitHub Copilot, code‑generation frameworks, intelligent automation) to accelerate modernization
and improve engineering quality.
- Apply AI‑driven monitoring and observability insights to reduce incidents, identify trends, and improve reliability.
- Perform advanced troubleshooting, triage, root‑cause analysis, and incident resolution.
- Participate in architecture/design reviews and ensure modernization & AI‑assisted practices are represented in solution planning.
- Estimate engineering effort for enhancements, upgrades, and technical debt remediation.
- Maintain high‑quality technical documentation and run‑books.
- Collaborate with SRE to improve monitoring, alerting, resiliency, and automation‑driven run‑time operations.
We are seeking a Lead Software Developer who is a hands-on technical leader with deep experience in modernizing complex enterprise and legacy systems. This role requires strong technical ownership, architecture leadership, and the ability to guide teams toward scalable, cloud-native, and AI-enabled solutions. The ideal candidate will balance coding, design, and mentorship while driving engineering excellence, reliability, and delivery predictability.
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Act as the technical lead for design and delivery of complex, enterprise-scale applications.
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Own architecture decisions, system design reviews, and technical standards across teams.
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Lead modernization of legacy .NET and distributed systems toward cloud-native architectures.
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Drive adoption of AI-assisted engineering, automation, and developer productivity tools.
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Collaborate closely with product, business, and SRE teams to deliver resilient solutions.
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Mentor developers, perform code reviews, and promote engineering best practices.
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Guide teams through incident management, reliability improvements, and post-incident RCA.
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8+ years of full-stack software development experience with .NET, Angular, REST APIs, and relational databases.
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6+ years designing and reviewing enterprise architectures (sequence diagrams, activity diagrams, system and solution architecture).
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6+ years building and scaling APIs and microservices using cloud-native or cloud-ready patterns.
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Strong experience modernizing and supporting legacy enterprise applications.
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5+ years working with relational and non-relational databases such as SQL Server, PostgreSQL, DynamoDB, and DocumentDB.
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4+ years of hands-on AWS experience including Lambda, Step Functions, CloudFront, S3, API Gateway, Fargate/EKS, and DynamoDB.
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Solid understanding of event-driven and distributed system design.
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3+ years owning SRE-aligned responsibilities, including monitoring, alerting, reliability engineering, and incident response.
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Experience designing systems with availability, performance, and scalability as first-class concerns.
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Strong experience with refactoring, upgrades, unit testing, and automated testing strategies.
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Working knowledge of both Agile and Waterfall development methodologies.
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Experience using CI/CD pipelines, DevSecOps practices, and quality gates.
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Hands-on experience with AI-assisted development tools or demonstrated ability to rapidly adopt AI-enabled delivery practices.
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Interest or experience in intelligent automation, code generation, AI-driven testing, or observability.
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Proven ability to lead by influence, not just authority.
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Excellent communication and stakeholder management skills, with the ability to translate technical choices into business outcomes.
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Experience mentoring engineers and cultivating a culture of quality, ownership, and continuous improvement.
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Comfortable partnering across engineering, product, security, and business teams.
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Experience with API documentation and governance tools (e.g., SwaggerHub).
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Exposure to DevSecOps, security scanning, and compliance-driven delivery models.
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Experience leading modernization of monolithic .NET systems or legacy distributed platforms.
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Familiarity with AI-driven observability, automated testing, or code-generation frameworks.
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Prior experience acting as tech lead or solution owner for large cross-team initiatives.
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Clearly owned and scalable architectures supporting long-term modernization goals.
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Improved system reliability, developer productivity, and delivery velocity.
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Engineers growing in technical depth through mentorship and clear technical direction.
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Increased adoption of automation and AI-assisted engineering practices.
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