About the role
We are hiring Senior Software Engineers to own how the platform supports the teams building on it. This is a deeply technical role. The problems that reach you are the ones another team could not solve on their own, and they cross every boundary at once: identity, networking, cloud permissions, model APIs, MCP servers, agent runtimes, deployment.
The job is not to close tickets. It is to understand why a team's agent environment is failing, fix it, and then remove the cause so the problem never recurs, through better diagnostics, better documentation, self-service tooling, or a change to the platform itself. Engineers in this role also ship features on the platform backlog.
What you'll do
Support the teams building agents on the platform
Own the support queue: triage, resolve and escalate requests from teams across the firm, and see each one through to resolution
Debug across the full path of an agent in production: identity and token lifecycle, gateway calls, MCP servers, agent runtimes, networking, secrets, deployment
Reproduce what a team is seeing in their environment, find the real cause, and either fix it or get it fixed
Coordinate during incidents: bring in application owners, keep stakeholders informed, and keep the engineers working the fix uninterrupted
Engineer the support load down
Consolidate the several channels requests reach us through today into one clear path, with the triage and escalation model to go with it
Turn recurring problems into runbooks, diagnostics and self-service, so the next team never needs to ask
Write the integration guides, reference implementations and starter templates that teams building agents and MCP servers actually use
Hunt down the undocumented limits, misleading error messages and missing guardrails that generate tickets, and fix them at the source
Help consuming applications move onto the gateway as the migration progresses
Build the platform
Ship features on the platform backlog alongside support work: gateway, agent tooling, identity patterns, observability, etc.
Share production ownership with the rest of the team, including incident response and root cause analysis
What we're looking for
Required
5+ years building and operating production systems
Strong debugging across distributed systems: you can trace a failure through identity, network, API and runtime boundaries and explain what happened
Hands-on experience with at least one major public cloud, including IAM, networking and secrets management in production
Hands-on experience building or operating an MCP server or a production agent, and a solid understanding of how LLM applications are put together: model APIs, tool calling, agent frameworks, etc.
Experience supporting other engineering teams as the users of your work, with the patience and clarity that requires
A bias toward removing whole classes of problems rather than resolving them one at a time
Excellent English communication, written and spoken
Preferred
Identity and access depth: OAuth 2.0, OIDC, token exchange, service principals
Kubernetes and container-based delivery
Infrastructure as code
Observability tooling and production alerting
Prior experience in a developer support, platform enablement or SRE role
How we work: you should be comfortable with
A small team that moves quickly inside a very large organisation
Limited timezone overlap with some of your teammates
A platform with production users while it is still being built underneath them
Being interrupted by other teams and by production, and still shipping
What we offer
A front row seat to how every team at JLL builds with AI, and a hand in whether they succeed
Real technical breadth: gateway, agent runtimes, MCP, identity, cloud infrastructure
A role that grows into platform engineering by design: the support work you remove becomes time you spend building
A team spanning the Americas, EMEA and APAC
Location
On-site –Jalisco,MEX
If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements. We’re interested in getting to know you and what you bring to the table!
At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing.
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Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process – you may email us at HRSCLeaves@jll.com. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.
Jones Lang LaSalle ("JLL") está comprometida a trabajar con personas con discapacidades y proporcionarles accesibilidad. Si necesita un ajuste razonable para cualquier parte del proceso de empleo – incluyendo la candidatura en línea y/o el proceso general de selección – puede enviarnos un correo electrónico a HRSCLeaves@jll.com. Este correo electrónico es solo para solicitar un ajuste razonable. Por favor, dirija cualquier otra consulta general de reclutamiento a nuestra página Contáctanos > Quiero trabajar para JLL.
