We are seeking a Senior Software Engineer – Integration to join a new Bruin Platform Modernization team in NYC.

Bruin is MetTel's mission-critical operations platform — 15 years in production, deeply embedded in how MetTel and its customers run. This role owns the customer integration experience end-to-end: designing and delivering the Bruin SDK, public APIs, and developer experience portal that make integrating with Bruin feel effortless for our customers, partners, and internal teams; and building out the Bruin Integration Marketplace — the catalog of connectors that lets Bruin plug into customer environments across HR, ticketing, MDM, SSO, zero-touch provisioning, mobile threat defense, and business intelligence systems.

You will partner with our Principal Software Architect and senior technical leadership on architectural direction, and operate as the senior owner of Bruin's integration experience. You will use AI-assisted engineering tools as a core part of your workflow.

ROLE AND RESPONSIBILITIES

• SDK & Public API Ownership: Own the design, delivery, and evolution of the Bruin SDK and Bruin's public APIs end-to-end. Own contract design, versioning strategy, pagination, error handling, authentication, rate limiting, and idiomatic ergonomics per language.
• Developer Experience Portal: Own the Bruin developer portal as a product — quickstart guides, API reference, code samples, interactive playground, SDK changelog, and the documentation pipeline that keeps it all in sync with the code. Treat documentation as a first-class engineering deliverable.
• Bruin Integration Marketplace: Lead the design and expansion of the Bruin Integration Marketplace — the catalog of connectors that lets Bruin integrate into customer environments. Own the connector framework, certification model, secrets management, observability, and the request-access and onboarding experience. Lead delivery of foundational connectors across ticketing (e.g., ServiceNow, Jira, Zendesk, Freshservice, BMC), HR feeds, MDM, SSO, zero-touch provisioning, mobile threat defense, and BI tools.
• Enterprise Integration Patterns: Apply established patterns for webhook delivery and retry, eventual consistency, schema evolution, idempotency, replay, and observability across heterogeneous customer systems. You know where integrations go wrong in production and design to prevent it.
• AI-Native Integration Patterns: Design the integration experience so it is consumable by modern AI agents and AI-native applications — clear tool semantics, well-described capabilities, and patterns that allow Bruin's AI-first user experience to operate against the platform safely and effectively.
• Customer & Partner Collaboration: Engage directly with customer engineering teams during marketplace onboarding and early adopter programs. Bring real-world integration feedback back into SDK, API, and connector design.
• Code Quality: Conduct code reviews, write well-tested maintainable code, and contribute to a high engineering bar across the team. Mentor collaborating junior and mid-level engineers as needed.

DESIRED QUALIFICATIONS:

• Must be a strong engineer with a track record of shipping developer-facing surfaces — SDKs, public APIs, or platform products that external developers integrate against.
• 7+ years of professional software engineering, with significant time spent on SDK / public API / platform engineering.
• Demonstrated ownership of a developer-facing SDK or public API at production scale — you can describe the design decisions, the trade-offs, and what you would do differently.
• Strong proficiency in at least two modern programming languages, with TypeScript/JavaScript and Node.js preferred, plus working knowledge of multiple language ecosystems (e.g., .NET, Python, Go, Ruby, Java) and the SDK conventions and developer experience expectations specific to each. Great SDKs feel native to their host ecosystem — you understand what that means in practice.
• Experience designing APIs and SDKs optimized for developer discovery — predictable naming conventions, strong type definitions, rich inline documentation, and progressive disclosure patterns that work well with modern IDEs and agentic coding tools (autocomplete, type inference, AI assistants using the SDK as context).
• Experience building or significantly contributing to a developer portal or documentation site — docs-as-code workflows, OpenAPI specifications, generated SDKs and reference content, or similar.
• Hands-on experience with enterprise integration concerns: OAuth 2.0 / OIDC, SAML, SCIM, webhooks, REST, GraphQL, retry and idempotency patterns, and schema versioning.
• Hands-on experience with containerized deployment (Kubernetes, Docker), and comfort with CI/CD pipelines.
• Familiarity with cloud platforms (AWS, Azure, or GCP) as adjacent experience — many of the patterns transfer to our on-premise environment.
• Demonstrated proficiency with AI-assisted development tools (Claude Code, Copilot, Cursor, or similar) as a core part of your engineering workflow.
• Strong written communication — you can write SDK documentation, API design docs, and customer-facing integration guides that engineers actually use.
• Customer empathy — you have worked directly with developers integrating against your product and let that feedback shape the design.

NICE TO HAVE:

• Experience designing APIs or SDKs for AI agents and AI-native applications — tool-use interfaces, Model Context Protocol (MCP), function-calling patterns, or similar.
• Prior experience at an iPaaS or at a B2B SaaS company with a published SDK and a partner connector ecosystem.
• Direct experience integrating with ServiceNow, Jira, Workday, Okta, or similar enterprise systems at scale.
• Familiarity with telecom, mobile device management, or network monitoring protocols (SNMP, syslog, MDM APIs, or vendor APIs for Meraki, Cisco, Zebra, or similar).
• Previous developer advocacy, DevRel, or technical writing contributions.
• Telecom, managed services, or B2B platform domain experience.

• The salary range reflected is a good faith estimate of base pay for the primary location of the position. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay for this position ranges from $150,000.00 to $180,000.00 annually. Pay varies by work location and may also depend on job -related knowledge, skills, experience and abilities of the successful candidate. Your recruiter can share more about the specific salary range for the job location during the hiring process.

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