Senior Software Engineer – AI Growth

This is a fully remote position, open to applicants in Utah.

📋 Description

• Develop and sustain production-level backend services that facilitate AI usage metering, reporting, billing integrations, and model availability.

• Design and implement data pipelines and event-driven systems that efficiently process usage and product data at scale.

• Create cloud-native services utilizing C#, AWS, and contemporary backend architecture patterns.

• Develop integrations among AI, product, data, billing, and platform systems.

• Write high-quality, thoroughly tested code and engage in code reviews.

• Contribute to the design and architectural decisions of backend services, data pipelines, and integrations.

• Assess technical trade-offs and establish scalable patterns for the AI Growth platform.

• Design distributed systems using AWS Lambda, DynamoDB, SQS, and S3.

• Convert product and business requirements into scalable technical solutions.

• Take ownership of the reliability and operational health of services; investigate and address production issues.

• Monitor system health and enhance performance, reliability, and scalability.

• Create systems with production support, observability, and maintainability as key considerations.

• Collaborate with AI Tools, Business Intelligence, Finance, Platform Engineering, and Product teams.

• Work with both technical and non-technical stakeholders to translate requirements into engineering solutions.

• Support engineers through code reviews, collaboration, and sharing technical insights.

• Manage tasks from requirements gathering to implementation, deployment, and ongoing support.

• Establish technical practices and processes as the AI Growth team evolves.

⛳️ Requirements

• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.

• A minimum of 5 years of professional software engineering experience focused on building production-grade systems.

• Extensive experience in developing distributed backend services using C# or a similar backend programming language.

• Proficient with AWS or Azure and modern cloud-native backend architecture patterns.

• Experience in building or maintaining data pipelines, event-driven systems, or analytics infrastructure.

• Skilled in designing and managing reliable production services.

• Proven ability to collaborate across engineering, product, data, or other technical teams to deliver integrated solutions.

• Experience in building billing, metering, usage tracking, or rate-limiting systems.

• Familiarity with product analytics, instrumentation, or usage-based data systems.

• Proficient with AWS services such as Lambda, DynamoDB, SQS, and S3.

• Experience with Snowflake, Kafka, or similar data and event-streaming technologies.

• Proven experience in building systems that link product usage data with commercial or billing workflows.

🏝️ Benefits

• 90% of healthcare premiums covered by the company.

• Company contribution to Health Savings Account (HSA).

• 401(k) matching at 4% with immediate vesting.

• Flexible Paid Time Off (PTO), typically amounting to 3 to 4 weeks per year.

• 10 paid holidays each year.

• Monthly contributions for life activities and wellness initiatives.

• Access to LinkedIn Learning, along with dedicated monthly time to explore new skills.

• Opportunities for connection, access, and mentorship from exceptional leaders.

• A growing company with ample opportunities for career advancement.

• An environment of authenticity and accountability from leadership.