Senior Integrations Engineer

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

📋 Description

• Full responsibility for the integration service lifecycle, encompassing reliability, roadmap execution, and a long-term technical vision.

• Design and maintain an asynchronous Python-based service that connects with client systems (ACS, VMS, and alarms) using REST, MQTT, and SignalR.

• Enhance integration capabilities by developing new connectors and webhook handlers tailored for large-scale enterprise event ingestion.

• Create outbound layers to orchestrate automated responses, such as lockdown procedures and security escalations, within customer ecosystems.

• Oversee system health through alerting and retry logic to guarantee resilient performance and graceful degradation of dependencies.

• Build test harnesses and mock environments to troubleshoot complex issues across third-party APIs and legacy on-premise hardware.

• Collaborate with Sales Engineering and internal teams to define technical requirements and facilitate new integrations.

• Serve as the main technical responder for integration-specific incidents, conducting thorough debugging across vendor platforms.

• Direct strategic migrations to Kubernetes and pinpoint opportunities for incorporating new communication and notification technologies.

⛳️ Requirements

• Over 5 years of experience in software engineering, with substantial involvement in integrations, platform development, or API work.

• Strong expertise in Python, particularly in async programming (asyncio, aiohttp, or similar).

• Practical experience with third-party APIs, webhooks, and event-driven architectures from various vendors.

• Proven ability to build resilient integration pipelines, including implementing retry logic, backoff strategies, health monitoring, and graceful degradation.

• Systematic debugging abilities, tracing issues across your platform, third-party APIs, and customer on-premise hardware, with ease working through inconsistent vendor documentation, legacy protocols, and customer-specific configurations.

• A demonstrated history of taking ownership of a service or system and enhancing its reliability over time.

• Proficiency in instrumenting and operating services with metrics and tracing tools (Datadog or equivalent).

• Familiarity with Docker and containerized deployment solutions, such as ECS.

🏝️ Benefits

• Competitive salary

• Equity

• Comprehensive benefits (medical, vision, dental)

• Flexible work arrangements