Integrations Engineer

Cobalt AI, LLC
Denver, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 200K

Job location

Remote
Denver, United States of America

Tech stack

API
Artificial Intelligence
Software as a Service
Computer Programming
Software Debugging
Django
Fault Tolerance
Python
Machine Learning
Message Queuing Telemetry Transport (MQTT)
Ruby on Rails
Expertise in Genetec Systems
SignalR
Software Engineering
Data Streaming
WebSocket
Rust
Datadog
Backend
Event Driven Architecture
Containerization
Kubernetes
GraphQL
Api Design
Webhooks
Docker
Web Api

Job description

Cobalt AI uses automation to elevate physical safety and security in the workplace. Our platform, Cobalt Monitoring Intelligence, is a hybrid AI system, cloud-hosted with edge-deployed hardware, that provides human-verified, real-time monitoring of surveillance cameras, alarms, and robots across enterprise locations., * Full ownership of the integration service lifecycle, including reliability, roadmap execution, and long-term technical vision.

  • Architect and maintain an asynchronous Python-based service 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., Build and maintain scalable backend microservices and developer-facing APIs, lead projects end-to-end, collaborate with product and engineering teams, design secure/versioned APIs, and manage cloud infrastructure using IaC. Top Skills: Api GatewaysAPIsAWSAzureC#CachingGCPGoInfrastructure As CodeJavaMicroservicesOciPostgresPythonServerlessSQLTerraform Celigo, Design, build, and operate scalable integrations and AI agents using Celigo integrator.io, LangChain/LangGraph and modern cloud data pipelines. Collaborate with business stakeholders to automate processes, ensure data quality and security, own integrations end-to-end, produce technical documentation, and support operational hand-offs. Top Skills: Agent SdksAnthropic ClaudeAws S3Celigo Integrator.IoGainsightGongGoogle GeminiHubspotIpaasJavaScriptJSONJwt Bearer TokensLangchainLanggraphModel Context ProtocolNetSuiteOauth 2.0Openai GptPythonRagRestSalesforceSaml2Snowflake Stored ProceduresSoapSQLVector DatabasesXMLZendesk Upstart, The Senior Software Engineer will design and build scalable backend services for loan origination, improving reliability and operational efficiency. Responsibilities include modernizing infrastructure, supporting partner onboarding, and collaborating across teams to enhance lending processes. Top Skills: Ruby On Rails

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Requirements

  • 5+ years of software engineering experience with significant time spent on integrations, platform work, or API development
  • Strong proficiency in Python, including async programming (asyncio, aiohttp, or similar)
  • 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

Nice to Haves:

  • 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
  • Experience and/or interest in Rust language

Why Work for Us?

Benefits & conditions

Competitive salary, equity, and full benefits (medical, vision, dental). Flexible work arrangements. A proven platform, an expanding customer base, and the opportunity to shape the engineering org at an inflection point.

Salary Range: $160k - $200k (actual compensation will be determined based on experience, location, and other factors permitted by law)

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