Cobalt AI Logo

Cobalt AI

Senior Integrations Engineer

Posted 6 Days Ago
In-Office or Remote
Hiring Remotely in Denver, CO
160K-200K Annually
Senior level
In-Office or Remote
Hiring Remotely in Denver, CO
160K-200K Annually
Senior level
Own and evolve integrations between the Cobalt platform and enterprise security ecosystems. Architect and maintain asynchronous Python services, build connectors and webhook handlers, implement resilient retry and monitoring logic, create test harnesses for vendor/on-prem hardware, lead incident response, collaborate on scoping, and drive migrations to container orchestration platforms.
The summary above was generated by AI

Summary:

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.

We’re seeking a Senior Integrations Engineer 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 upcoming architectural migrations.

Responsibilities:

  • 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.

Qualifications:

  • 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?: 

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)

Cobalt AI is an equal employment opportunity employer and values diversity.  Qualified candidates are considered for employment without regard to race, religion, gender, gender identity, sexual orientation, national origin, age, military or veteran status, disability, or any other characteristic protected by applicable law.

Similar Jobs

6 Days Ago
Remote or Hybrid
United States
140K-160K Annually
Senior level
140K-160K Annually
Senior level
Fintech • Real Estate
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
6 Days Ago
Remote
United States
145K-160K Annually
Senior level
145K-160K Annually
Senior level
Cloud • Information Technology • Other • Productivity • Software
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
10 Days Ago
Easy Apply
Remote
United States
Easy Apply
167K-231K Annually
Senior level
167K-231K Annually
Senior level
Artificial Intelligence • Fintech • Machine Learning • Social Impact • Software
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 NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account