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, driving data insights and AI solutions.
- Benefits: Competitive salary, diverse culture, and opportunities for professional growth and development.
- Other info: Embrace diversity and inclusion while working with cutting-edge technologies.
- Why this job: Make a real impact by tackling complex cloud data challenges and optimising infrastructure.
- Qualifications: 10+ years of experience in software engineering and AWS Databricks platform administration required.
The predicted salary is between 70000 - 90000 € 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 postmortem 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 employer: JPMorganChase
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 in our Chief Data & Analytics Office, you will have the opportunity to work with cutting-edge technologies in a supportive environment that values diversity and encourages professional growth. With a strong commitment to employee development and a focus on operational excellence, we provide a unique platform for you to advance your career while making a meaningful impact in the world of data and analytics.
StudySmarter Expert Advice🤫
We think this is how you could land SRE III- Data & AWS
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Prepare for those tricky technical interviews. Brush up on your AWS Databricks skills and be ready to showcase your problem-solving abilities with real-world examples.
✨Tip Number 3
Don’t forget to follow up after interviews! A quick thank-you email can keep you top of mind and show your enthusiasm for the role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace SRE III- Data & AWS
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the SRE III role. Highlight your experience with AWS Databricks and SRE principles, as these are key to what we're looking for at StudySmarter.
Showcase Your Skills:Don’t just list your skills; demonstrate them! Use specific examples from your past work that show how you've tackled complex challenges, especially in cloud data platforms. We love seeing real-world applications of your expertise.
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language and avoid jargon where possible. We appreciate clarity, and it helps us understand your qualifications better!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows your enthusiasm for joining our team at StudySmarter!
How to prepare for a job interview at JPMorganChase
✨Know Your AWS Databricks Inside Out
Make sure you brush up on your AWS Databricks knowledge. Be ready to discuss your experience with platform administration and engineering support, as this is a must-have for the role. Prepare examples of how you've tackled challenges in this area.
✨Master SRE Principles
Familiarise yourself with Site Reliability Engineering principles like SLIs, SLOs, and incident management. Be prepared to explain how you've applied these concepts in your previous roles, especially in relation to improving system observability and operational stability.
✨Showcase Your Problem-Solving Skills
Think of specific instances where you've had to troubleshoot complex issues or develop creative software solutions. Highlight your analytical skills and how you've used them to break down technical problems, particularly in cloud data platforms.
✨Emphasise Collaboration and Communication
Since this role involves working in an agile environment with cross-functional teams, be ready to discuss your collaboration experiences. Share examples of how you've effectively communicated with engineering and data teams to optimise processes and drive outcomes.
