Staff Software Engineer

Architecture & Technical Strategy

• Shape the technical direction for the Edge domain by guiding the evolution of our Rails monolith, Postgres data layer, and supporting infrastructure (Sidekiq, Redis, Kafka, AWS) toward a more modular, resilient architecture.
• Own the technical direction and strategy for key projects, ensuring alignment with broader business goals and influencing product roadmaps and long-term planning.
• Define pragmatic, well-communicated tradeoffs around performance, reliability, and delivery that help teams and stakeholders make informed decisions.
• Establish and refine engineering patterns and standards (testing, observability, deployment, code quality) that raise the bar across Edge teams.
• Help define and scale AI-augmented engineering practices across the organization, including coding assistants, automated testing, code review, incident analysis, and agentic development workflows.

Cross-Team Collaboration & Delivery

• Partner with Product Management, Payments, Data Platform, DevOps, and adjacent teams to shape requirements, define APIs and integration contracts, and align on shared priorities.
• Break down large technical initiatives into clear milestones and increments, helping teams deliver them safely and predictably.
• Provide clear technical context, risks, and options to leadership to support roadmap and capacity decisions.
• Facilitate alignment across teams by building shared understanding and trust.

Reliability, Quality & Incident Response

• Advocate for reliability and correctness in high-risk areas (payments, reporting, financials, delinquency, nightly jobs) through thoughtful design, testing strategy, and runtime safeguards.
• Contribute to and help facilitate post-incident reviews, turning RCAs into concrete engineering and process improvements.
• Strengthen observability and on-call practices so teams can detect, diagnose, and resolve issues with confidence.

Strategic Hands-On Engineering

• Contribute high-quality, production-ready code in our stack (primarily Ruby on Rails, Postgres, Sidekiq, Redis, AWS) and review critical changes, focusing your hands-on time where your expertise has the greatest leverage.
• Step into complex performance and reliability problems when the situation calls for your depth of experience, whether that means identifying hotspots, optimizing queries, or simplifying code paths.
• Model engineering excellence through targeted contributions that set the standard for the team.
• Evaluate, prototype, and operationalize AI-assisted development approaches that improve engineering velocity, quality, and reliability.

Mentorship & Engineering Culture

• Mentor Senior Engineers and new Staff Engineers, helping them grow their technical judgment, expand their influence, and take on greater ownership.
• Foster a culture of continuous improvement by encouraging better approaches to testing, automation, deployment, and collaboration (including thoughtful adoption of AI-assisted development tools).
• Serve as a trusted resource for the Edge stack and domain, modeling how to navigate ambiguity, weigh tradeoffs, and communicate clearly across audiences.

What You'll Bring

Experience

• 8+ years of professional software engineering experience, with substantial time in SaaS or product engineering environments.
• 3+ years operating at a Staff, Principal, or Lead level (or equivalent scope), including owning architecture, guiding delivery for complex systems, and mentoring other senior engineers.
• Demonstrated experience evolving a large, mature codebase (ideally a Rails monolith) toward a more modular, scalable architecture.

Technical Depth

• Deep proficiency in a modern server-side framework (Ruby on Rails) and relational databases (Postgres or MySQL), including schema design, indexing, query optimization, and scaling patterns.
• Solid understanding of distributed systems concepts and event-driven architectures (background jobs, queues, events/streams).
• Strong foundation in testing, CI/CD, observability, and incident response in production environments.
• Ability to reason about performance, reliability, and data correctness in financial or similarly sensitive domains.
• Comfortable using AI-assisted development tools in your daily workflow and eager to help teams adopt effective AI-augmented engineering practices.
• Experience shaping AI-augmented engineering workflows for teams (e.g., multi-agent setups for implementation, test generation, refactoring, or incident analysis).
• Demonstrated experience driving adoption of AI-assisted software development practices across engineering teams.
• Experience evaluating and implementing AI-augmented workflows such as agent-based development, automated test generation, code migration/refactoring, documentation generation, or incident analysis.
• Ability to articulate measurable impact from AI adoption on engineering productivity, quality, or delivery.

Collaboration & Influence

• A track record of setting technical direction for a domain and building alignment across teams through clear communication and shared understanding.
• Experience partnering closely with Product, Design, and cross-functional stakeholders to shape scope, requirements, and delivery plans.
• A demonstrated pattern of investing in other engineers' growth and making the people around you more effective.

Nice to Have

• Experience operating and scaling high-throughput, transaction-heavy SaaS systems using tools like Sidekiq, Postgres/RDS, Redis, Kafka/MSK, and AWS.
• Background in payments, accounting/ledger systems, or other high-integrity financial domains.
• Experience improving test suites and deployment practices (e.g., reducing test runtime, eliminating flaky tests, introducing canary or blue/green deploys).
• Familiarity with self-storage, property management, or similar operational software domains.