AI ML Lead Site Reliability Engineer

ZipRecruiter; Glasgow; On-site; GBP 70,000 - 100,000; Full time

Job summary

Join a leading financial services firm as an AI ML Lead Site Reliability Engineer, where you will lead reliability initiatives, mentor engineers, and enhance system performance. This critical role demands deep expertise in site reliability practices and a passion for AI and machine learning. Contribute significantly to resilience designs and be the driving force behind technical excellence in a renowned global organization.

Qualifications

• Deep proficiency in site reliability best practices.
• Fluency in Python or Java Spring Boot.
• Proficiency in CI/CD tools and observability management.

Responsibilities

• Leads initiatives for enhancing application reliability and stability.
• Acts as the main contact during major incidents.
• Collaborates on service level objectives and error budgets.

Skills

Reliability

Scalability

Performance

Security

Automation

SRE principles

Observability

Programming with Python

Education

Formal training or certification in site reliability engineering

Tools

Grafana

Dynatrace

Prometheus

Datadog

Jenkins

GitLab

Terraform

ECS

Kubernetes

Docker

Job description

Job DescriptionJob 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 an AI ML Lead Site Reliability Engineer at JPMorgan Chase within the AIML Data Platform Team, you hold 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

• 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
• Partner with product engineering teams to ensure the AI/ML systems are reliable and high performing
• Develop observability, security, automation and fin-ops tools and orchestration
• Provide strategic technology leadership by defining and evaluating standards and architecture for reliability, observability and automation frameworks
• Build strong cross-functional relationships that foster engagements across the organization and deliver solutions to user problems
• Debug and solve issues in a production environment, identify root cause and remediate
• Participates in on-call rotations, incident management and escalation workflows

Required qualifications, capabilities, and skills

• Formal training or certification on site reliability engineering concepts and proficient applied 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 such as (e.g., Python, Java Spring Boot, .Net, 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.)
• Expertise in SRE principles, reliability, scalability and performance of application and infrastructure
• Expertise in programming with Python and Infrastructure as Code, tools such as Terraform
• Experience in architecting distributed systems and cloud- architecture in AWS
• Self-managed, self-motivated with strong sense of ownership, urgency, and drive

Additional qualifications, capabilities, and skills

• Prior experience working in AI, ML, or Data engineering
• Expertise in container orchestration/Kubernetes
• Prior experience developing Automation frameworks/AI Ops
• Prior experience building observability and telemetry tools

About Us

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on and at our company. We do not discriminate on the basis of any protected attribute, including race, gender, age, religion, disability, sexual orientation, marital or veteran status, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ practices and beliefs, as well as mental health or physical needs. Visit our FAQs for more information about requesting an accommodation.

About The Team

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.