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Senior Integrations Engineer

Job in Coos Bay, Coos County, Oregon, 97458, USA
Listing for: Restaurant365
Full Time position
Listed on 2026-02-27
Job specializations:
  • IT/Tech
    Cloud Computing, Data Engineer, Systems Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Restaurant
365 is a SaaS company disrupting the restaurant industry! Our cloud-based platform provides aunique, centralized solution for accounting and back-office operations for restaurants. Restaurant
365’s culture is focused on empowering team members to produce top-notch results while elevating their skills. We’re constantly evolving and improving to make sure we are and always will be “Best in Class” ... and we want that for you too!

We’reseeking an experienced Integration Engineer with a strong background in connecting data sources to Glean (enterprise search/knowledge platform).You’lllead the end-to-end lifecycle of source integrations—design, implementation, monitoring, and continuous improvement—so that employees can safely and quickly find what they need across our SaaS ecosystem. This role is highly cross-functional, partnering with Security, IT, Data, and Business Systems to ensure secure, scalable, and reliable data ingestion aligned to least-privilege and compliance requirements.

How

you'll add value:
  • Own the strategy and roadmap for Glean connectors across our core SaaS tools (e.g., Microsoft 365/SharePoint/One Drive, Slack, Jira, Confluence, Salesforce,Fresh service, Git Lab, Zoom, Gong and others), including evaluation, rollout, and ongoing optimization.
  • Build andmaintainintegrations using native Glean connectors and custom solutions via APIs/SDKs, webhooks, and ingestion pipelines; define schemas, mappings, permissions models, and crawl schedules for performance and freshness.
  • Ensure robustauth

    N/auth Zpatterns (OAuth 2.0/OIDC, service principals, app registrations), securesecretsmanagement, and consistent RBAC/group sync via SCIM for precise permission mirroring.
  • Instrument andmonitorconnector health and SLAs (crawl/index latency, error budgets, backoff/retry strategies); implement alerting and dashboards; drive root cause analysis and permanent fixes for ingestion issues.
  • Partner with Infosec,Legal, and People Teamon data governance (permission-scoped indexing, privacy controls, redaction/exclusion lists, regulated data handling) andmaintainaudit-ready documentation and runbooks.
  • Improve search quality by collaborating on content normalization, metadata enrichment, and relevance tuning; champion usability feedback loops with stakeholders.
  • Lead change management for integration rollouts (test plans, canaries, staged deployments) and provide transparent customer-grade communications for incidents and maintenance.
  • Create clear, durable documentation (SOPs, architecture diagrams, data flow maps, runbooks) and knowledge transfer for IT and support teams.
  • Handson experience implementing and operating Model Context Protocol (MCP) solutions, including building and maintaining MCP servers and integrating with

    MCPcompatibleclients.
  • Proficiency with the MCP data model and lifecycle: tool/resource/prompt registration, capability discovery/negotiation, and JSONRPC 2.0 overstdio/websockettransport.
  • Ability to develop MCP servers in Python or Node.js using official SDKs, expose robust tool interfaces, resource templates, and structured outputs, and design for idempotency and safe retries.
  • Designing MCP tools that wrap enterprise SaaS APIs (e.g., Microsoft 365, Slack, Jira/Confluence, Salesforce,Fresh service, Git Lab, Zoom, Gong), including pagination,ratelimithandling, and backoff strategies.
  • Strong authentication/authorization for MCP: service accounts, token management,scopeminimization,pertool

    RBAC, multitenant isolation, and secure secret storage/rotation.
  • Permission mirroring and context propagation: mapping enterprise RBAC/leastprivilegeto MCP tools/resources; enforcing caller identity and data access boundaries end-to-end.
  • Occasional travel for teamonsitesand planning sessions (typically
What you'll need to be successful in this role:
  • 5-8years in Integration Engineering, Platform Engineering, or Enterprise Applications, with hands-on ownership of large-scale SaaS data source integrations.
  • Expertise with enterprise APIs (REST/JSON,Graph

    QL), OAuth 2.0/OIDC,MCP,service accounts,secrets management, API rate limiting, and resilient retry/backoff patterns.
  • Strong scripting/software skills in one or more:
    Python,…
Position Requirements
10+ Years work experience
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