Senior SRE Lead — Python, AWS & Data Platform

Fairygodboss; Glasgow; On-site; GBP 120,000 - 150,000; Full time

Job summary

JPMorgan Chase invites applications for a Senior Manager - SRE to lead a team of 3-7 SRE engineers and scale the AI/ML Data Platform. You will tackle complex cloud data platform challenges, especially around Data Lake Tools, working in an agile environment with cross-functional teams.

The role requires strong SRE expertise, AWS/Databricks proficiency, and a track record delivering reliable data solutions. Collaboration and continuous improvement are key in this high-impact position.

Qualifications

• Experience with formal training or certification on software engineering concepts.
• Strong understanding of SRE principles, including SLIs, SLOs, error budgets, and incident management.
• Ability to manage highly technical team of Site Reliability Engineers.
• Experience leading teams in the safe use of enterprise-authorized AI capabilities within the work environment for reliability engineering workflows, including validation habits and awareness of data sensitivity.
• Ability to set and reinforce organization-level practices for reviewing AI-assisted recommendations and escalating uncertain decisions while maintaining resiliency, security, and auditability outcomes.
• Extensive experience with AWS, Databricks, or Snowflake platform administration and engineering support is a MUST.
• Experience with monitoring tools, automation frameworks, and CI/CD pipelines.
• Proficient in Python application program development with use of automated unit testing.
• Experience with Terraform development and understanding of Terraform enterprise.
• Experience in delivering system design, application development, testing, and operational stability.
• Knowledge of Big Data distributed compute frameworks like Spark, Glue, MapReduce etc.
• Excellent troubleshooting, analytical, and communication skills.

Responsibilities

• Leads a team of Site Reliability Engineers and support critical application 24x7.
• Implements Site Reliability Engineering (SRE) best practices to ensure reliability, scalability, and performance of data platforms.
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.
• Scale and maintain a managed AWS Databricks platform, and provides engineering and operational support for the platform to Application/Engineering teams.
• Drives reuse-first adoption of enterprise-authorized AI capabilities within the work environment to improve reliability operations and customer experience outcomes, with human-in-the-loop validation and appropriate handling of sensitive data.
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture.
• Drives continuous improvement in system observability, alerting, and capacity planning.
• Collaborates with engineering and data teams to optimize infrastructure and deployment processes, focusing on automation and operational excellence.
• Performs platform design, set-up and configuration, workspace administration, resource monitoring, providing engineering support to Data Engineering teams, Data Science/ML, and Application/Integration teams.
• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
• Develops secure high-quality production code, and reviews and debugs code written by others.
• Adds to team culture of diversity, opportunity, and respect.
• Develops and maintains incident response procedures, including root cause analysis and postmortem documentation.

Skills

SRE principles

AWS

Databricks

Python

CI/CD

Troubleshooting

Automation

Big Data

Spark

Tools

Terraform

Docker

Kubernetes

Databricks

Snowflake

Job description

JPMorgan Chase invites applications for a Senior Manager - SRE to lead a team of 3-7 SRE engineers and scale the AI/ML Data Platform. You will tackle complex cloud data platform challenges, especially around Data Lake Tools, working in an agile environment with cross-functional teams.

The role requires strong SRE expertise, AWS/Databricks proficiency, and a track record delivering reliable data solutions. Collaboration and continuous improvement are key in this high-impact position.