Is the Sr. GCP role fully remote?

Yes — this Sr. GCP role is remote-friendly. The listing is anchored to Mexico city, DF for tax and payroll purposes, but the client is open to candidates who can work from anywhere the applicant-location requirements allow. Occasional travel for on-site quarterly reviews may be requested; the recruiter will confirm during your calibration call.

Is this a permanent role?

Yes — this is a full time direct-hire position with the client. On offer acceptance, you onboard directly onto the client's payroll and benefits. ApTask's role is placement only; the recruiter stays in touch for the first 90 days as a check-in, but your day-to-day relationship is with the client's hiring manager.

What is the compensation range for this role?

The advertised range for this Sr. GCP role is $90,000–$120,000 per month. Where you land within the band depends on validated experience, the specific stack calibration match, and — for contract engagements — the bill-rate the client has locked in for this requisition. The recruiter will discuss the exact number during your calibration call.

How quickly does the interview process move?

If your profile is a fit for this role, you can expect the recruiter's first call within one business day. From there, interview cadence depends on the client's hiring-manager and panel availability. Total time from submission to signed offer varies by client — pre-verified profiles and calibrated submissions cut the noise, but the pace of interviews is driven by the client, not us.

What technical skills does the Sr. GCP role require?

The client is targeting depth in GCP. Adjacent experience is welcome — we routinely place candidates whose exact stack match is 60-70% when the underlying pattern (distributed systems, regulated-data handling, or comparable) is strong. Bring the full stack breadth to your calibration call; the recruiter will map it onto the client's evaluation scorecard.

Remotefull timeReq 26-02598Posted Today

Sr. GCP

Full Time/Contract role in Mexico city, DF. Remote engagement, matched and submitted by an ApTask vertical recruiter.

Location: Mexico city, DF · Remote
Compensation: $90k–$120k/mo

Talk to a recruiter

Your résumé routes to the vertical recruiter who owns this requisition. Identity-verified profile, never resold or syndicated.

Stack

About the role

At a glance

AI summary

Day-to-day: Provide L1-L3 production support for AI applications on GCP, triage incidents, perform root cause analysis, monitor Vertex AI and BigQuery performance, review AI agent quality for hallucinations, manage stakeholder communications and escalations
You'll bring: Strong Python development experience, hands-on GCP expertise, Google ADK and Vertex AI Gemini experience, BigQuery and SQL knowledge, FastAPI and React/TypeScript skills, Document AI experience, Cloud Run/Workflows knowledge, OAuth/OIDC authentication experience, production troubleshooting and RCA skills
Good fit if: You have generative AI or LLM application support experience, familiarity with monitoring and observability tools, experience in Agile/Scrum environments, strong analytical problem-solving abilities

Generated from the recruiter description below. The full posting is the source of truth — always read it before applying.

Job Description

We are looking for an experienced Python & GCP AI Support Engineer to provide end-to-end production support for AI-powered applications running on Google Cloud Platform. The ideal candidate will have experience supporting AI/ML solutions, troubleshooting cloud-based applications, working with Python APIs, and collaborating with business stakeholders to ensure service reliability and continuous improvement.

Mandatory Skills

Strong experience with Python development and support
Hands-on experience with Google Cloud Platform (GCP)
Experience with Google ADK (Agent Development Kit)
Hands-on experience with Vertex AI Gemini
Strong knowledge of BigQuery and SQL
Experience with FastAPI
Experience with React and TypeScript
Experience with Document AI
Knowledge of Cloud Run and Cloud Workflows
Experience with PingOne OIDC or OAuth/OpenID Connect authentication
Knowledge of AI Evaluation Frameworks and LLM quality monitoring
Experience troubleshooting production applications and performing Root Cause Analysis (RCA)
Strong stakeholder communication and incident management skills

Roles & Responsibilities

Own end-to-end L1, L2, and L3 production support for the Lease Assist platform.
Serve as the primary technical point of contact for Irvine and Qvest.
Manage business communications, including user query intake, status updates, issue resolution, and stakeholder coordination.
Perform incident triage and Root Cause Analysis (RCA) across FastAPI services, Google ADK agents, BigQuery, Document AI pipelines, and React applications.
Monitor AI agent quality by reviewing chat feedback, identifying hallucinations, and recommending improvements for Router, Standard Agent, and Deep Research models.
Monitor production environments including Cloud Run, Cloud Workflows, Vertex AI Gemini, and BigQuery performance, while proactively identifying and resolving issues.
Conduct weekly service reviews, prepare monthly governance reports, and maintain operational runbooks and support documentation.
Collaborate with development, AI, and cloud engineering teams to improve platform stability, performance, and reliability.

Preferred Skills

Experience supporting Generative AI or LLM-based applications.
Familiarity with monitoring and observability tools.
Experience working in Agile/Scrum environments.
Strong analytical and problem-solving skills.
Excellent verbal and written communication skills.
Ability to manage multiple priorities in a fast-paced production support environment.

About technology at ApTask

What this vertical looks like inside ApTask.

Technology roles at ApTask cover the software, cloud, data, security, and platform-engineering functions that power Fortune 500 digital operations. Our recruiters specialise in high-signal technical calibration — every candidate is validated against the specific stack, framework versions, and deployment context the client runs, not a keyword match. Our largest engagements sit inside AWS, Azure, GCP, Snowflake, Databricks, and modern data-mesh estates. Because we route through Fieldglass, Beeline, Workday VNDLY, and Coupa VMS, technology contractors placed through ApTask carry MBE diversity spend against the client's supplier program while remaining W-2 with full benefits under our payroll.

How it works

What happens after you apply.

1. Verified profile
Submit your résumé and complete the ApTask identity + skills verification. We check right-to-work, background, and technical calibration once — never resell or re-verify — so future roles surface faster.
2. Recruiter calibration call
Within one business day, the recruiter who owns this requisition reviews your profile against the client's specific stack, arrangement, and start-date requirements. You'll hear back either way — no ghosting.
3. Client interview
If your profile is a fit, we present you to the hiring team. Most clients run 2-3 interview stages: hiring-manager screen, technical panel, and final. We prep you with the exact scorecard criteria before each round.
4. Offer + onboarding
On acceptance, you onboard W-2 with ApTask (contract) or direct-hire with the client (per role type). Benefits, payroll, and timesheets run through us. Your recruiter stays your point of contact for the length of the engagement.

Frequently asked

Questions candidates ask about this role.

Is the Sr. GCP role fully remote?: Yes — this Sr. GCP role is remote-friendly. The listing is anchored to Mexico city, DF for tax and payroll purposes, but the client is open to candidates who can work from anywhere the applicant-location requirements allow. Occasional travel for on-site quarterly reviews may be requested; the recruiter will confirm during your calibration call.
Is this a permanent role?: Yes — this is a full time direct-hire position with the client. On offer acceptance, you onboard directly onto the client's payroll and benefits. ApTask's role is placement only; the recruiter stays in touch for the first 90 days as a check-in, but your day-to-day relationship is with the client's hiring manager.
What is the compensation range for this role?: The advertised range for this Sr. GCP role is $90,000–$120,000 per month. Where you land within the band depends on validated experience, the specific stack calibration match, and — for contract engagements — the bill-rate the client has locked in for this requisition. The recruiter will discuss the exact number during your calibration call.
How quickly does the interview process move?: If your profile is a fit for this role, you can expect the recruiter's first call within one business day. From there, interview cadence depends on the client's hiring-manager and panel availability. Total time from submission to signed offer varies by client — pre-verified profiles and calibrated submissions cut the noise, but the pace of interviews is driven by the client, not us.
What technical skills does the Sr. GCP role require?

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Sr. GCP

About the role

Job Description

Mandatory Skills

Roles & Responsibilities

Preferred Skills

What this vertical looks like inside ApTask.

What happens after you apply.

1. Verified profile

2. Recruiter calibration call

3. Client interview

4. Offer + onboarding

Questions candidates ask about this role.

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Preferred Skills

What this vertical looks like inside ApTask.

What happens after you apply.

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2. Recruiter calibration call

3. Client interview

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Questions candidates ask about this role.

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