Senior Software Engineer

Description

• Work closely with Product Managers, TPMs, and architects to ensure technical decisions support partner outcomes and platform consistency.
• Deliver work through the full lifecycle: design implementation validation iteration.
• Diagnose and resolve complex production issues, implementing durable solutions that improve long-term stability.
• Identify opportunities to improve service reliability, event flows, and integration consistency.
• You’ll take on substantial ownership of impactful backend systems used across the company.
• Partner with SE-Ops and engineering teams to ensure observability and support processes reflect real partner needs.
• Contribute to requirements for monitoring, alerting, and operational readiness to ensure partner-facing systems remain healthy.
• Translate partner-facing requirements into robust technical solutions aligned with platform architecture.
• Mentor engineers not only on technical implementation, but also on architectural thinking and delivery practices that scale.
• You’ll influence technical direction within a team focused on partner-facing reliability, consistency, and scale.
• Write high-quality, maintainable, and well-tested code for backend services used in production at scale.
• Contribute to consistent integration and data flow patterns used across partner solutions.
• Lead technical design for medium-to-large scoped features and components within the team’s domain.
• You’ll build backend systems that directly shape how strategic partners integrate with Alarm.com’s platform.
• Design backend components, APIs, and event-driven workflows that are scalable, reliable, and easy for partners and internal teams to integrate with.
• Support SPX’s work to define and operationalize partner success metrics, helping determine meaningful indicators of customer and partner outcomes.
• You’ll help define integration and operational patterns that scale across multiple partners and internal teams.
• Help SPX enhance scalable approaches to partner lifecycle management and integration models.
• Participate in cross-team technical discussions, surfacing dependencies, risks, and design considerations early.
• Build and optimize event-driven data pipelines (e.g., Kafka), ensuring reliability and performance under high load.
• Contribute to documentation, architectural patterns, onboarding guides, and engineering best practices.
• Contribute to and influence shared architectural patterns that support long-term scalability and consistency across partner integrations.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
• Proven ability to explain complex technical concepts clearly and empathetically across engineering, product, and partner teams, and to document architectural decisions for long-term clarity and maintainability.
• Ability to review and validate AI-generated code, tests, and documentation for correctness and maintainability.
• Ability to debug complex systems and apply observability best practices.
• Familiarity with AI-powered IDE tooling or code analysis tools to support refactoring, debugging, and test generation.
• Strong communication skills.
• Strong understanding of relational databases and data modeling.
• Experience developing or influencing reusable architectural patterns.
• 5–8+ years of backend software engineering experience.
• Experience operating large-scale distributed systems in production.
• Familiarity with caching layers, stream processing, or distributed messaging.
• Experience using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT) to streamline development while maintaining engineering standards.
• Strong experience with .NET/C# and SQL Server is strongly preferred, as this is the foundation of our backend stack, though equivalent experience in similar ecosystems may translate well.
• Experience with CI/CD pipelines, containers (Docker/Kubernetes), or cloud platforms.
• Clearly articulate and justify design decisions in terms of both technical tradeoffs and partner/business impact.
• Experience building and maintaining RESTful or gRPC APIs.
• Strong proficiency in an object-oriented language (C#, Java, or Python).
• Experience using the Model Context Protocol (MCP) to build or integrate AI agents that interact with REST APIs.
• Proven experience leading multi-engineer projects from architecture through delivery with a high degree of independence.
• Experience supporting internal and external integration consumers.
• Hands-on experience with event-driven systems (Kafka or similar).

Benefits

• Collaborate with outstanding people: We hire only the best. Our standards are high and our employees enjoy working alongside other high achievers.
• Gain well rounded experience: Alarm.com offers a diverse and dynamic environment where you will get the chance to work directly with executives and develop expertise across multiple areas of the business.

Training + Development

Interview process

Visa Sponsorship

Security clearance