Solutions / Engineering & DevOps
For the engineers who own the integration platform, the agent infra, or both. Tray.ai is what teams move to when in-house glue and legacy iPaaS slow them more than they help.
Crowdstrike, Airbnb, Yext, HackerOne — the pattern is the same: legacy iPaaS slowed them more than it helped. Tray.ai handles connectors, retries, observability, and governance. Custom code drops in anywhere you need control. Teams ship at the speed they actually build.
Intelligent iPaaS covers integration, process automation, API management, embedded — same platform. Crowdstrike ships 10× faster after replacing MuleSoft. Yext migrated 100+ services in 3 months at 60%+ cost reduction.
Write code where you need control; compose visually where you want speed. JavaScript and Python drop in anywhere, no context switching.
Agent Gateway publishes 700+ Tray connectors as governed MCP tools — RBAC, observability, audit logging, rate limits — replacing developer-built open-source MCP servers with a centrally managed layer.
Merlin Agent Builder plus the connector library — Apollo, Life360, Wavo all started here.
4× integration delivery speed
“Since implementing Tray, we've quadrupled our integration delivery speed. More integrations mean happier customers that can respond to cybersecurity vulnerabilities even faster.”
Teams the engineering & devops role tracks for fit, scale, and proof.
Tech / SaaS
Yext's legacy integration platform created operational bottlenecks, requiring specialized developers for slow and costly integrations. A fra …
Read the story →Tech / SaaS
Life360 runs a consumer platform with 88 million monthly active users and a growing internal team. Early attempts at single-purpose bots lef …
Read the story →The use cases this role pursues first on Tray.ai.
Integration without the integration backlog.
Replace MuleSoft, Boomi, or whatever stitched-together iPaaS is slowing you down. Tray.ai connects 700+ apps and prepares data in flight — at enterprise scale, in days not quarters.
Ship production agents, not pilots.
Most AI projects stall in pilot. Tray.ai is the path to production agents — reasoning, acting, and audited across your real systems.
Bring order to MCP chaos.
MCP adoption is outpacing governance. Tray.ai's Agent Gateway makes Model Context Protocol enterprise-safe — managed servers, RBAC, observability, audit.
Manual work, automated.
Automate the manual work IT hasn't gotten to — across 700+ connectors, with audit trails baked in. Without waiting for engineering.
Both. Tray.ai is no-code-first for the common patterns and lets you drop into custom code anywhere — JavaScript or Python steps, your own scripts, your own modules. The point is removing the friction on the boring 80% of integration work, not replacing your engineering judgement on the rest.
Tray gives you the parts the in-house build skips — guardrails, audit trails, RBAC, governed MCP, 700+ pre-built connectors usable as agent tools. The model is your choice. The platform is what makes the agent shippable to production.
Agent Gateway lets you publish 700+ Tray connectors as governed MCP tools — replacing developer-built open-source MCP servers with one centrally managed layer. A global insurer consolidated department-level MCP servers into a single governed control plane with zero raw system access remaining.
docs.tray.ai (developer reference), academy.tray.ai (training), and community.tray.ai (Q&A and patterns).
Walk through your real systems with someone who's been there.
