Field Tech Support Engineer - Product Reliability

Agent; Quilmes; On-site; ARS 1,800,000 - 3,200,000; Full time

Job summary

Chevron Global Business Services (GBS) in Buenos Aires is seeking a Site Reliability Engineer to strengthen payments reliability and order-to-cash operations. You will build end-to-end observability with Azure Monitor, ADX, and Grafana, define SLIs/SLOs, and drive incident prevention with automation and AI-assisted tooling.

The role emphasizes cross-functional collaboration, telemetry validation, and capacity planning in a large distributed environment; relocation could be considered, with an

Qualifications

• Proven SRE expertise in production reliability and incident response.
• Hands-on development experience with Python, PowerShell, or C#.
• Experience building observability stacks using Grafana, ADX and KQL.
• Strong ability to translate telemetry into business impact.

Responsibilities

• Define, implement, and monitor SLIs/SLOs for payment workflows.
• Architect and maintain end-to-end observability across distributed systems.
• Lead incident management and blameless RCA to reduce outages.
• Eliminate toil with automation and self-healing mechanisms.
• Integrate AI to improve diagnostics and smart alerting.
• Assist in capacity planning and performance tuning.

Skills

SRE fundamentals

Python

PowerShell

C#

Azure Monitor

Grafana

CI/CD

IaC

Telemetry analysis

Communication

Tools

Grafana

ADX

KQL

Azure Monitor

CI/CD

IaC

Job description

Buenos Aires, Buenos Aires, Argentina
Full time
R
Total Number of Openings
1
Chevron Global Business Services (GBS), located in Buenos Aires (Puerto Madero), Argentina, is accepting online applications for the position of Site Reliability Engineer. Successful candidates will join the IT Company which is part of a successful multifunction service center with a workforce of more than 1800 employees delivering business services and solutions across the globe.
Chevron GBS is looking for a Site Reliability Engineer (SRE) with strong expertise in observability, Azure platform services, and AI-driven engineering to primarily support our Payments reliability & Order to Cash reliability. This role focuses on building end-to-end observability solutions using Azure Monitor, ADX (KQL), and Grafana, translating telemetry into business-impact insights, and defining SLIs/SLOs and alerting strategies.
Key Responsibilities
+ Drive Reliability: Define, implement, and monitor Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Error Budgets specifically tailored to mission-critical payment workflows.
+ End-to-End Observability: Architect, deploy, and maintain scalable observability stacks to establish clear visibility across complex, distributed environments.
+ Incident Management & Prevention: Work within a vendor-driven Operation team to reduce incidents and response times and facilitate blameless Root Cause Analysis (RCA) to permanently eliminate observability blind spots.
+ Toil Elimination: Identify repetitive manual tasks and develop robust automation and self-healing mechanisms.
+ AI Integration: Design and implement AI-assisted solutions, automated diagnostics, and smart alerting to accelerate incident resolution and proactively detect anomalies.
+ Capacity & Performance Tuning: Monitor system health continuously to assist with load testing, capacity planning, and performance optimization.
Required Qualifications
+ Proven SRE Expertise: Strong background in production reliability, modern incident response, and system architecture.
+ Development & Automation Skills: Hands-on proficiency in Python, PowerShell, and C# (or another backend language). Experience with Infrastructure as Code (IaC) and CI/CD pipelines is heavily preferred.
+ Advanced Telemetry Analysis: Deep experience with dashboarding (Grafana) and log analysis (ADX/KQL). Ability to validate telemetry accuracy (latency, failures, data delays) and rigorously challenge misleading signals or noisy alerts.
+ Cross-Functional Collaboration: Strong communication skills with the ability to work seamlessly with engineering teams to fix code-level issues, and with business stakeholders to translate technical metrics into business impacts.
+ AI Proficiency: Practical experience using AI tools (e.g., M365, GitHub Copilot) and building AI agents to scale productivity and improve data quality.
The Mindset
We are looking for someone who can analyze, question, and improve data, not just visualize it-leveraging AI to accelerate development, detect gaps, and enhance observability at scale. The successful candidate combines hands-on coding with strong analytical thinking, can navigate smoothly between engineering and business contexts, and uses AI to scale productivity, improve data quality, and enhance decision-making.
Relocation Options:
Relocation could be considered.
International Considerations:
Expatriate assignments will not be considered.
Chevron regrets that it is unable to sponsor employment Visas or consider individuals on time-limited Visa status for this position
Chevron participates in E-Verify in certain locations as required by law.
Chevron Corporation is one of the world's leading integrated energy companies. Through its subsidiaries that conduct business worldwide, the company is involved in virtually every facet of the energy industry. Chevron explores for, produces and transports crude oil and natural gas; refines, markets and distributes transportation fuels and lubricants; manufactures and sells petrochemicals and additives; generates power; and develops and deploys technologies that enhance business value in every aspect of the company's operations. Chevron is based in Houston, Texas. More information about Chevron is available at .
Chevron is an Equal Opportunity / Aff…