Senior SRE & Technology Support Lead – Applied AI/ML

Testing Site - JPMC; Buenos Aires; On-site; ARS 2,000,000 - 5,000,000; Full time

Job summary

JPMorgan Chase in Buenos Aires is seeking a Lead Site Reliability Engineer to shape reliability for AI/ML infrastructure. You will lead the SRE team, drive incident response, and mentor engineers while advancing observability and automation across multiple domains.

Expect collaboration across teams, ownership of SRE best practices, and a strong emphasis on scalable, secure operations with measurable service levels.

Qualifications

• 5+ years in site reliability or infrastructure engineering roles.
• Deep expertise in AWS cloud services, infrastructure automation (Terraform, CloudFormation), and monitoring tools (Prometheus, Grafana, CloudWatch).
• Strong problem-solving, communication, and collaboration skills.
• Experience with CI/CD pipelines, operational stability, and risk management.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (or equivalent experience).
• Deep proficiency in reliability, scalability, performance, security, enterprise system architecture, toil reduction, and other site reliability best practices.
• Fluency in at least one programming language such as Python or Java.
• Deep knowledge of software applications and technical processes with emerging depth in one or more technical disciplines
• Proficiency in observability such as white and black box monitoring, SLO alerting, and telemetry collection using Grafana, Dynatrace, Prometheus, Datadog, Splunk, etc.
• Proficiency in continuous integration and continuous delivery tools (e.g., Jenkins, GitLab, Terraform, etc.)
• Experience with container and container orchestration (ECS, Kubernetes, Docker, etc.)
• Experience with troubleshooting common networking technologies and issues
• Drive to self-educate and evaluate new technology
• Advanced English skills

Responsibilities

• Design, implement, and optimize SRE best practices for AI/ML infrastructure, focusing on reliability, scalability, security, and operational efficiency.
• Develop and maintain automated monitoring, alerting, and incident response systems.
• Manage day-to-day support issues, conduct root cause analysis, and drive continuous improvement to reduce repeat errors and enhance system stability.
• Demonstrates and champions site reliability culture and practices and exerts technical influence throughout your team
• Leads initiatives to improve the reliability and stability of your team’s applications and platforms using data-driven analytics to improve service levels
• Collaborates with team members to identify comprehensive service level indicators and stakeholders to establish reasonable service level objectives and error budgets with customers
• Demonstrates a high level of technical expertise within one or more technical domains and proactively identifies and solves technology-related bottlenecks in your areas of expertise
• Acts as the main point of contact during major incidents for your application and demonstrates the skills to identify and solve issues quickly to avoid financial losses
• Documents and shares knowledge within your organization via internal forums and communities of practice

Skills

AWS

Observability

CI/CD

Incident management

Python

Java

Leadership

Networking basics

Education

Bachelor's or Master’s in CS/Engineering

Tools

Terraform

CloudFormation

Prometheus

Grafana

CloudWatch

Jenkins

GitLab

ECS

Kubernetes

Docker

Datadog

Dynatrace

Splunk

Job description

Assume a critical role in defining the future of a globally recognized firm and have a direct and significant effect in a realm tailored for top achievers in site reliability.

As a Lead Site Reliability Engineer at JPMorgan Chase within the CIB, youhold a leadership role in your team, demonstrate strong knowledge across multiple technical domains, and advise others on the technical and business issues facing them.

Take lead and conduct resiliency design reviews, break up complex problems into digestible work for other engineers, act as a technical lead for medium to large-sized products, and provide advice and mentoring to other engineers.

Job responsibilities

• Design, implement, and optimize SRE best practices for AI/ML infrastructure, focusing on reliability, scalability, security, and operational efficiency.
• Develop and maintain automated monitoring, alerting, and incident response systems.
• Manage day-to-day support issues, conduct root cause analysis, and drive continuous improvement to reduce repeat errors and enhance system stability.
• Demonstrates and champions site reliability culture and practices and exerts technical influence throughout your team
• Leads initiatives to improve the reliability and stability of your team’s applications and platforms using data-driven analytics to improve service levels
• Collaborates with team members to identify comprehensive service level indicators and stakeholders to establish reasonable service level objectives and error budgets with customers
• Demonstrates a high level of technical expertise within one or more technical domains and proactively identifies and solves technology-related bottlenecks in your areas of expertise
• Acts as the main point of contact during major incidents for your application and demonstrates the skills to identify and solve issues quickly to avoid financial losses
• Documents and shares knowledge within your organization via internal forums and communities of practice

Required qualifications, capabilities, and skills

• 5+ years in site reliability or infrastructure engineering roles.
• Deep expertise in AWS cloud services, infrastructure automation (Terraform, CloudFormation), and monitoring tools (Prometheus, Grafana, CloudWatch).
• Strong problem-solving, communication, and collaboration skills.
• Experience with CI/CD pipelines, operational stability, and risk management.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (or equivalent experience).
• Deep proficiency in reliability, scalability, performance, security, enterprise system architecture, toil reduction, and other site reliability best practices with the ability to implement these practices within an application or platform
• Fluency in at least one programming language such as (e.g., Python, Java etc.)
• Deep knowledge of software applications and technical processes with emerging depth in one or more technical disciplines
• Proficiency and experience in observability such as white and black box monitoring, SLO alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, Splunk, etc.
• Proficiency in continuous integration and continuous delivery tools (e.g., Jenkins, GitLab, Terraform, etc.)
• Experience with container and container orchestration (e.g., ECS, Kubernetes, Docker, etc.)
• Experience with troubleshooting common networking technologies and issues
• Drive to self-educate and evaluate new technology
• Advanced English skills