Senior Software Development Engineer - .Net/C#

What Your Responsibilities Will Be

• You will deliver scalable, secure, and high-performing backend and frontend services for Avalara's global compliance platform, meeting agreed availability, latency, and throughput targets.
• You will embed AI-assisted development into daily workflows (coding, testing, documentation, design exploration) to measurably reduce lead time for changes, increase test coverage, and improve deployment frequency.
• You'll design and evolve distributed systems and APIs (REST and/or GraphQL) that are observable, resilient, and easy to operate at scale, with clear contracts and SLIs/SLOs.
• Improve reliability and incident performance by strengthening architecture, monitoring, alerting, and runbooks, reducing production incidents and time-to-recovery over time.
• Lead technical design and architecture discussions for complex problems, making sound tradeoffs that balance customer experience, scalability, cost, and delivery speed.
• Increase the effectiveness of CI/CD pipelines (e.g., GitLab) by expanding automated tests, improving build/deploy reliability, and reducing manual steps.
• Raise team performance through mentoring, pairing, code reviews, and clear expectations on quality, ownership, and accountability — acting as a Bar Raiser for engineering culture.
• Collaborate effectively with global stakeholders (engineering, product, operations, and business) in English to align on requirements, tradeoffs, and outcomes.
• Use AI daily to materially improve speed and quality — for example, to generate and refine code, tests, documentation, design options, post-incident analysis, or data transformations, while retaining strong engineering judgment over all outputs.
• Design and deliver AI-enabled product and platform capabilities that automate workflows, enhance data processing, or provide richer customer-facing intelligence, with clear impact on revenue, efficiency, or risk reduction.
• Critically evaluate AI-generated results, applying governance-aware and security-conscious practices, and understanding limitations, bias, and data protection requirements.
• Share AI best practices with the team, helping others adopt AI effectively in their own workflows and improving overall AI maturity.

What You’ll Need To Be Successful

• Education: B.S. in Computer Science or Engineering.
• Experience: 8+ years of professional software engineering experience aligned to senior-level scope (owning complex services, leading designs, mentoring others).
• Strong hands-on experience with .NET (C#) building scalable APIs and services.
• Strong experience with React (TypeScript) building maintainable, testable frontend applications.
• Experience designing and operating distributed systems and RESTful and/or GraphQL APIs in production.
• Experience with AWS and cloud-native architectures.
• Experience with Infrastructure as Code (Terraform).
• Experience with CI/CD pipelines (e.g., GitLab) and modern Git-based workflows.
• Experience with Docker and Kubernetes in production environments.
• Experience with relational and/or NoSQL databases at scale.
• Strong knowledge of automated testing strategies across unit, integration, and end-to-end tests.
• Demonstrated, hands-on use of AI tools and techniques that has improved measurable business or engineering outcomes (e.g., reduced cycle time, higher quality, better automation, improved insight).
• Strong English communication skills (written and spoken) for effective collaboration with global teams and stakeholders.

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