At a Glance
- Tasks: Develop and deliver advanced tech products focused on data and analytics in a dynamic environment.
- Company: Join JPMorgan Chase's innovative Chief Data & Analytics Office team.
- Benefits: Competitive salary, diverse culture, and opportunities for professional growth.
- Other info: Embrace diversity and inclusion while working in a collaborative, agile team.
- Why this job: Make a real impact by tackling complex cloud data challenges with cutting-edge technology.
- Qualifications: 10+ years of experience in software engineering and AWS Databricks platform administration.
The predicted salary is between 80000 - 100000 £ per year.
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm’s data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision‑making. The CDAO is also responsible for developing and implementing solutions that support the firm’s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.
As a Site Reliability Engineer at JPMorgan Chase within the AIML Data Platforms and Chief Data and Analytics Team, you will develop and deliver advanced technology products focused on data and analytics. Tackle complex cloud data platform challenges, especially around DataLake Tools. In this role you will work in an agile environment, collaborating with cross‑functional teams.
Job Responsibilities:
- Maintains a managed AWS Databricks platform, and provides engineering and operational support for the platform to application teams.
- 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.
- 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.
- 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.
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.
- Adds to team culture of diversity, opportunity, and respect.
- Implements Site Reliability Engineering (SRE) best practices to ensure reliability, scalability, and performance of data platforms.
- Develops and maintains incident response procedures, including root cause analysis and post‑mortem documentation.
Required qualifications, capabilities, and skills:
- Formal training or certification on software engineering concepts and 10+ years applied experience.
- Extensive experience with AWS Databricks platform administration and engineering support is a must.
- Strong understanding of SRE principles, including SLIs, SLOs, error budgets, and incident management.
- 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.
- Experience in Data pipelines using Spark.
- Exposure to AWS & Databricks Platform administration.
- Knowledge of containerization (Docker, Kubernetes) and orchestration.
- Familiarity with distributed systems and large‑scale data processing.
Preferred qualifications, capabilities, and skills:
- Experience in Data pipelines using Spark.
- Exposure to AWS & Databricks Platform administration.
- Knowledge of containerization (Docker, Kubernetes) and orchestration.
- Familiarity with distributed systems and large‑scale data processing.
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.
SRE III- Data & AWS in Glasgow employer: 慨正橡扯
At JPMorgan Chase, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Site Reliability Engineer within the Chief Data & Analytics Office, you will have access to cutting-edge technology and the opportunity to work with diverse teams, driving impactful solutions in a supportive environment that values employee growth and inclusivity. Our commitment to professional development, alongside our focus on diversity and respect, makes this an ideal place for those seeking meaningful and rewarding careers in data and analytics.
StudySmarter Expert Advice🤫
We think this is how you could land SRE III- Data & AWS in Glasgow
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for those interviews! Research the company and its culture, and be ready to discuss how your skills align with their goals. Practice common interview questions to boost your confidence.
✨Tip Number 3
Show off your projects! Whether it’s a GitHub repo or a personal website, having tangible examples of your work can really impress hiring managers. It’s all about demonstrating what you can do!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace SRE III- Data & AWS in Glasgow
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with AWS Databricks and SRE principles. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant projects!
Show Off Your Problem-Solving Skills:In your application, share examples of how you've tackled complex technical challenges in the past. We love seeing creative solutions, especially when it comes to data platforms and automation, so let us know how you think outside the box!
Highlight Collaboration Experience:Since this role involves working with cross-functional teams, be sure to mention any collaborative projects you've been part of. We value teamwork, so sharing your experiences will help us understand how you fit into our culture.
Apply Through Our Website:We encourage you to submit your application through our website for a smoother process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves!
How to prepare for a job interview at 慨正橡扯
✨Know Your AWS Databricks Inside Out
Make sure you brush up on your knowledge of the AWS Databricks platform. Be ready to discuss your experience with platform administration, configuration, and how you've provided engineering support in the past. This will show that you're not just familiar with the tools but can also leverage them effectively.
✨Master SRE Principles
Since this role heavily involves Site Reliability Engineering, ensure you understand key concepts like SLIs, SLOs, and error budgets. Prepare examples from your previous work where you implemented these principles to improve system reliability and performance.
✨Showcase Your Problem-Solving Skills
Be prepared to tackle hypothetical scenarios during the interview. Think about complex cloud data platform challenges you've faced and how you approached them. Highlight your creative solutions and ability to think outside the box when troubleshooting technical issues.
✨Emphasise Collaboration and Communication
This role requires working closely with cross-functional teams, so be ready to discuss your experience in collaborative environments. Share specific examples of how you've communicated effectively with engineering and data teams to optimise processes and drive outcomes.
