Staff Software Engineer

Responsibilities

• Leading the design and evolution of large-scale systems and architectures to support long-term scalability, reliability, and maintainability across the platform.
• Leading the adoption of AI-assisted development practices across teams, identifying where AI creates meaningful leverage, and connecting those capabilities directly to engineering velocity, product quality, and measurable business outcomes.
• Defining and guiding the technical vision and strategy across teams, aligning engineering efforts with long-term product and organizational goals.
• Partnering with engineering and product leadership to shape technical priorities and influence roadmap decisions.
• Navigating ambiguous problem spaces, defining technical approaches, and driving clarity and alignment across teams.
• Influencing technical direction across multiple teams by leading alignment on architecture, design patterns, and best practices.
• Providing guidance through code reviews and technical feedback to ensure high standards for code quality, maintainability, and design.
• Driving resolution of complex technical issues and identifying systemic patterns to prevent recurrence.
• Ensuring system health, availability, and reliability by driving improvements in observability, monitoring, and operational practices.
• Leading the strategy for reducing technical debt and modernizing existing systems, including defining re-platforming approaches and driving execution across teams.
• Guiding the development of tooling and platform improvements to enhance developer productivity and engineering efficiency across teams.
• Maintaining and promoting shared architectural knowledge of platform features and system evolution.
• Providing technical leadership and mentorship to engineers across teams to deliver high-quality software solutions.
• Communicating with cross-functional teams, including but not limited to Technical Support, QA, Design, Documentation, and Product Management.
• Acting as an agent of change by identifying gaps in processes and advocating for improvements that increase team efficiency and product quality.
• Promoting a culture of engineering excellence through mentorship, technical guidance, and leading by example.

Requirements

• B.S. in Computer Science, Software Engineering, or a related field, or equivalent practical experience.

• 8+ years of professional software engineering experience, with a demonstrated track record of technical leadership across complex, cross-team initiatives.
• Strong computer science fundamentals, including data structures, algorithms, and industry-standard design patterns and practices.
• Deep experience designing and evolving large-scale distributed, high-performance systems and architectures.
• Strong hands-on experience designing, deploying, and operating production applications on public cloud platforms (AWS, GCP, or Azure), including practical knowledge of cloud-native services across compute, storage, networking, and managed data with a solid understanding of cloud architecture patterns and security best practices.
• Proven ability to operate in ambiguous problem spaces and drive clarity, alignment, and execution across teams and organizational boundaries.
• Strong ability to influence technical direction and drive alignment across teams and stakeholders without direct authority.
• Strong understanding of testing strategies, including unit, integration, and end-to-end testing, with a bias toward automated test coverage and quality ownership at scale.
• Deep experience with observability practices, including structured logging, metrics collection, distributed tracing, and alerting, with the ability to drive improvements in these areas across teams.
• A forward-looking approach to AI-assisted development: able to lead the adoption of AI tooling across engineering teams, evaluate where AI creates meaningful leverage, and connect those capabilities directly to product quality, delivery speed, and business outcomes.
• Extensive experience working with cross-functional teams, with the ability to complete root cause analysis, debug complex issues, and communicate findings clearly to both technical and non-technical stakeholders.
• Independent, driven, and demonstrates strong ownership in delivering high-quality solutions.
• Proficient at communicating with a wide variety of stakeholders to understand and execute on development roadmaps.

Technology & Tools

• Experience with full stack and API development across both frontend and backend layers.

• Proficiency in one or more of the following programming languages: Rust, C#, and JavaScript.
• Proficient with modern authentication and authorization mechanisms (e.g., OAuth 2.0, OIDC, SAML).
• Experience maintaining and operating production services and applications at scale, including incident response, post-mortem facilitation, and driving systemic reliability improvements.
• Extensive experience with distributed and microservices-based architectures.
• Experience with containerization and container orchestration (e.g., Docker, Kubernetes).
• Experience with cloud-native infrastructure patterns, including serverless architectures, managed Kubernetes services, infrastructure-as-code tooling (e.g., Terraform, Pulumi, or Bicep), and cost-aware resource design.
• Experience leading the implementation of modern security patterns and practices, including secure coding standards, threat modeling, and vulnerability remediation.
• Broad and deep knowledge of architectural styles and design patterns.
• Experience with CI/CD systems and modern software delivery practices, including automated testing gates and progressive deployment strategies.
• Strong familiarity with relational and non-relational data stores and the architectural considerations that inform choosing between them.
• Experience with observability, monitoring, and reliability engineering practices at platform scale.