Senior Software Engineer

The Software Developer is part of an agile development team responsible for building enterprise grade software systems using modern cloud-native and SaaS oriented technologies. This role contributes across the full software development lifecycle, including design, development, testing, and deployment, while leading complex initiatives and mentoring junior team members. The position requires deep expertise in cloud platform services, modern web application frameworks, event driven architectures, and containerized deployment strategies, particularly as the organization transitions from a legacy on premises monolithic system to a scalable cloud based environment. The team operates within an AI augmented software development lifecycle, leveraging AI assisted tools to accelerate delivery, improve code quality, and enable automation across the development pipeline, and this role performs work with a high degree of independence while reporting to the Senior Director of Software Development.

Why This Role

This isn't a role where you'll simply maintain existing software. We're looking for a Software Developer who's ready to do more than close tickets—someone who wants to help modernize a mature enterprise platform by designing and building scalable cloud-native solutions that will shape the future of our products. If you're energized by solving complex technical challenges and creating software with real impact, you'll find plenty of opportunities here.

AI-assisted development is a core part of how our engineering team works. We actively leverage modern AI tools and workflows to improve code quality, accelerate delivery, and continuously evolve how we build software. You'll have the opportunity to experiment with emerging technologies while helping define engineering best practices.

If you enjoy solving challenging problems at scale, taking ownership of technical solutions, and contributing to a collaborative engineering culture, we'd love to hear from you. We're investing in the future of our platform and looking for engineers who are excited to help build what's next.

Responsibilities

• Architect cloud-native solutions across managed services such as serverless compute, managed databases, API gateways, and web hosting, as well as event-driven systems using message brokers and streaming platforms; own the topology, contracts, and failure modes
• Direct fleets of agentic coding assistants to deliver new applications, services, and front-end experiences by defining the intent, establishing architectural guardrails, and ensuring quality in design, accessibility, and user experience
• Lead the decomposition of legacy monolithic applications into cloud-hosted services; identify seams, define bounded contexts, sequence the migration, and oversee agent driven refactoring efforts end to end
• Engineer and continuously refine prompts, context, evaluation harnesses, and agentic workflows that support an AI-augmented software development lifecycle
• Conduct code reviews with a focus on identifying architectural drift, security gaps, and subtle quality issues that may not be detected through automated review tools
• Own observability, reliability, and performance of cloud-hosted services; diagnose production issues that require cross system reasoning, including those originating from AI generated code
• Set technical direction, mentor junior engineers on effectively leveraging AI-assisted tooling, and communicate clearly across technical and non technical audiences, including explaining outputs generated by AI-assisted tools and the rationale for human decisions

Desired Qualifications

• Experience architecting cloud-native solutions on managed platform services such as web application hosting, serverless functions, API management, and managed databases, as well as event driven architectures using messaging and streaming patterns
• Experience supporting or leading the migration of legacy on-premises monolithic applications to cloud-native distributed architectures, including identifying seams, sequencing migrations, and managing risk
• Understanding of API development, integration patterns, and secure service-to-service communication
• Strong code review skills, including the ability to identify architectural drift, security gaps, hallucinated or incorrect outputs, and subtle correctness issues that may not be detected by automated tools
• Understanding of modern programming languages and software design principles, with the ability to read, evaluate, and refine AI generated code
• Experience with containerized deployments, infrastructure management practices, and CI/CD pipelines in cloud environments
• Experience with relational and non-relational database design, querying, and managed cloud database services
• Ability to analyze and understand existing codebases, including legacy systems, and accurately interpret system behavior and intent

Requirements

• Bachelor’s degree in Computer Information Systems or related field
• (Equivalent professional experience may substitute for formal education)
• 6+ years in software engineering, technical architecture, or AI-augmented development roles, with significant time spent in cloud-based and/or SaaS product environments