Senior Software Engineer - .NET & Cloud Architecture

Position Summary

The Senior Staff Software Engineer will provide organization-wide technical leadership for large-scale distributed systems and platform architectures, driving long-term scalability, reliability, modernization, and engineering excellence. This role will shape technical strategy across teams, lead high-impact cross-functional initiatives, advance AI-assisted development and developer productivity, and influence architecture and operational maturity without relying on direct authority.

Key Responsibilities

• Lead the design and evolution of large-scale distributed systems and platform architectures for long-term scalability and reliability across organizations.
• Define long-term technical strategy and architecture across organizational boundaries, aligning engineering direction with business goals.
• Lead adoption of AI-assisted development and connect AI initiatives to engineering effectiveness and measurable business outcomes.
• Identify high-impact technical opportunities, prioritize complex problems, and drive cross-team initiatives spanning multiple systems and domains.
• Partner with engineering, product, and business leadership on technical priorities, roadmaps, architecture decisions, and strategic initiatives.
• Drive observability, performance, reliability, operational maturity, and systemic risk mitigation across production systems.
• Define technical debt reduction and modernization strategies, including re-platforming roadmaps, while advancing platform capabilities and developer productivity tooling.
• Mentor senior and staff engineers, establish high standards for design, code, operations, and continuous improvement, and contribute to technical due diligence for strategic initiatives and partnerships.

Required Qualifications

• B.S. in Computer Science, Software Engineering, or equivalent practical experience.
• 6+ years of software engineering experience driving technical strategy across multiple teams or organizations.
• Strong computer science fundamentals, including data structures, algorithms, and design patterns.
• Deep experience designing large-scale distributed systems or platform architectures, with strong understanding of scalability, reliability, performance, and cost trade-offs.
• Hands-on production experience with AWS, GCP, or Azure, including cloud-native services and security best practices.

Preferred Qualifications

• Proven ability to operate in ambiguity and drive execution without direct authority, while aligning senior/staff engineers and leadership across teams.
• Deep observability and reliability engineering experience across logging, metrics, tracing, alerting, incident response, and post-mortem improvements.
• Experience improving engineering productivity through platforms, tooling, processes, and modern delivery practices.
• Forward-looking experience with AI-assisted development and organizational AI strategy, including adoption and measurable engineering outcomes.
• Experience with full-stack/API development and proficiency in one or more of Rust, C#, or JavaScript; familiarity with OAuth 2.0, OIDC, and SAML.
• Strong experience with distributed systems, microservices, Docker, Kubernetes, cloud-native infrastructure, serverless services, managed Kubernetes, and Infrastructure as Code using Terraform, Pulumi, or Bicep.
• Experience with secure coding, threat modeling, vulnerability remediation, CI/CD, progressive deployment, relational and non-relational data stores at scale, and technical due diligence for strategic initiatives.