At a Glance
- Tasks: Lead the design and implementation of reliable data systems at JPMorganChase.
- Company: Join a leading financial institution focused on innovation and technology.
- Benefits: Competitive salary, health benefits, remote work options, and career development opportunities.
- Other info: Mentorship opportunities and a chance to influence technical direction across teams.
- Why this job: Shape the future of data reliability and make a significant impact in a dynamic environment.
- Qualifications: Advanced knowledge in site reliability engineering and proficiency in programming languages.
The predicted salary is between 60000 - 80000 £ per year.
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 JPMorgan Chase.
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, Git Lab CI, Git Hub 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 Git Ops 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, Hashi Corp Terraform Associate)
- #J-18808-Ljbffr
Lead SRE - Data Product Studio in Glasgow employer: Jpmorgan Chase & Co.
JPMorgan Chase & Co. is an exceptional employer, offering a dynamic work environment in Bournemouth where innovation and collaboration thrive. Employees benefit from a strong focus on professional development, inclusive team culture, and the opportunity to work with cutting-edge technology in a supportive atmosphere that values continuous improvement and engineering excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Lead SRE - Data Product Studio in Glasgow
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Jpmorgan Chase & Co. or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
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✨Tap into Online Developer Communities
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We think you need these skills to ace Lead SRE - Data Product Studio in Glasgow
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Jpmorgan Chase & Co..
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Jpmorgan Chase & Co. and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Jpmorgan Chase & Co. uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
