C
Cobalt AI
Senior Software Engineer
Skills
RustDockerDjangoPythonGraphQLDatadogKubernetesMQTTBambooHR
3 months ago
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Important information
Salary:
$160,000 – $200,000 / year
Location:
Denver, CO, USA
Work mode:
Onsite
Published on:
11 August 2026
What they need
Who you are
- 5+ years of software engineering experience with significant time spent on integrations, platform work, or API development
- Strong experience building asynchronous, event-driven services in any language (e.g. async runtimes, concurrency, backpressure, non-blocking I/O)
- Working proficiency in Python
- Hands-on experience with third-party APIs, webhooks, and event-driven architectures across diverse vendors
- Experience building resilient integration pipelines, including retry logic, backoff strategies, health monitoring, and graceful degradation
- Systematic debugging skills, tracing problems across your platform, a third-party API, and a customer's on-premise hardware, with comfort working through inconsistent vendor documentation, legacy protocols, and customer-specific configurations
- A track record of taking ownership of a service or system and improving its reliability over time
- Comfort instrumenting and operating services with metrics and tracing (Datadog or equivalent)
- Familiarity with Docker and containerized deployments like ECS
- Experience with or strong interest in Rust
- Deep async Python experience (asyncio, aiohttp, or similar)
- Kubernetes or EKS experience
- Physical security systems (LenelS2, Genetec, Brivo, C
- CURE, Netbox, Acre) or other enterprise ACS/VMS platforms
- Streaming and eventing protocols such as SignalR, MQTT, and WebSocket
- Django and webhook-handler experience
- Experience with GraphQL APIs for internal use
- Enterprise multi-tenant SaaS experience, and SOC 2 or GDPR-aware development
What the job involves
- We’re seeking a Senior Software Engineer: Integrations Lead to own the integrations that make autonomous security monitoring work
- You will manage the connections between Cobalt’s platform and our customers' enterprise security ecosystems, including access control, alarms, video, and ticketing tools, spanning everything from legacy on-premise hardware to modern cloud APIs
- This is a foundational ownership role with clear potential to shape the future of our integration strategy, including a planned migration of most services from async Python to Rust
- Full ownership of the integration service lifecycle, including reliability, roadmap execution, and long-term technical vision
- Architect and maintain our asynchronous integration service, currently Python, with a planned migration to Rust for most applications, connecting to client systems (ACS, VMS, and alarms) via REST, MQTT, and SignalR
- Expand integration capabilities through new connectors and webhook handlers designed for large-scale enterprise event ingestion
- Develop outbound layers to orchestrate automated responses, such as lockdowns and security escalations, within customer ecosystems
- Monitor system health using alerting and retry logic to ensure resilient performance and graceful degradation of dependencies
- Construct test harnesses and mock environments to debug complex issues across third-party APIs and legacy on-premise hardware
- Collaborate with Sales Engineering and internal stakeholders to scope technical requirements and drive new integrations
- Act as a primary technical responder for integration-specific incidents, performing deep-dive debugging across vendor platforms
- Lead strategic migrations to Kubernetes and identify opportunities to integrate new communication and notification technologies
The application process
- Application Deadline: Applications will be accepted until the position is filled, or until August 31, 2026
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