Lead SRE - Data Product Studio

Lead SRE - Data Product Studio

210768017

T13:03:38+00:00

Glasgow

Software Engineering

Full time

Build systems that stay available when it matters most. In this role, you'll shape how reliability is engineered across critical data products and platforms at JPMorganChase. You'll partner with engineers and stakeholders to set measurable service goals, reduce toil through automation, and raise operational standards. You'll have room to lead, mentor, and influence technical direction while tackling complex, high-impact challenges. If you're passionate about scalable, secure, and resilient systems, you'll thrive here.

As a Lead Site Reliability Engineer in Corporate Technology: Data Strategy & Architecture , you will lead resiliency design reviews and champion site reliability practices across medium to large-sized products. You will break down complex problems into actionable work, guide delivery through strong engineering standards, and help teams improve reliability using data-driven insights. You will serve as a technical leader during major incidents and influence solutions across multiple technical domains. You will mentor engineers and advise on technical and business issues to improve outcomes for customers and stakeholders. This is a technical leadership (IC) position, rather than a team leadership position.

Job Responsibilities

Champion site reliability culture and practices, exerting technical influence across the team

Lead initiatives to improve reliability and stability using data-driven analytics to improve service levels

Partner with engineers and stakeholders to define service level indicators, service level objectives, and error budgets

Identify and resolve technical bottlenecks across one or more technical domains

Act as a primary point of contact during major incidents, driving rapid diagnosis and resolution to reduce impact

Document and share knowledge through internal forums and communities of practice

Define and drive CI/CD strategy and pipeline standards, including artifact management, environment promotion, and release gating

Design and implement infrastructure-as-code practices to enable self-service provisioning and reduce toil

Lead resiliency design reviews for new and existing data products, identifying single points of failure, capacity risks, and operational gaps before production

Embed shift-left security practices into delivery pipelines, including automated scanning, secrets management, and policy-as-code

Lead capacity planning and cost optimization across cloud and on-premise compute for data workloads

Required Qualifications, Capabilities, and Skills

Advanced knowledge of site reliability engineering practices, including reliability, scalability, performance, security, enterprise architecture, and toil reduction

Proficiency in at least one programming language (e.g., Python, Java Spring Boot, .NET)

Experience designing, implementing, and operating observability practices (e.g., white/black box monitoring, SLO alerting, telemetry collection) using tools such as Grafana, Dynatrace, Prometheus, Datadog, or Splunk

Hands-on experience designing and operating CI/CD pipelines and release automation (e.g., Jenkins, GitLab CI, GitHub Actions, Argo CD)

Proficiency in infrastructure-as-code and configuration management tooling (e.g., Terraform, Ansible, Helm)

Experience with containers and orchestration (e.g., Docker, Kubernetes, ECS)

Ability to troubleshoot common networking technologies and issues

Ability to identify and solve problems involving complex data structures and algorithms

Ability to break down complex problems into clear, deliverable work for engineering teams

Ability to collaborate across stakeholder groups and influence technical decisions

Drive to self-educate and evaluate new technology

Preferred Qualifications, Capabilities, and Skills

Experience in a data platform, data mesh, or data product engineering environment (e.g., Spark, Kafka, dbt, Airflow)

Familiarity with cloud-native data services on AWS, Azure, or GCP

Experience with GitOps workflows and progressive delivery patterns

Knowledge of chaos engineering practices and tooling

Experience mentoring engineers and driving engineering standards across teams

Relevant certifications (e.g., CKA, AWS/GCP/Azure Solutions Architect, HashiCorp Terraform Associate)

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 diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

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.