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- Tasks: Support AI/ML data platforms by developing solutions and coordinating incident management.
- Company: Join JPMorgan Chase & Co., a leader in financial services with a focus on innovation.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Great opportunity to mentor others and enhance your skills in a fast-paced setting.
- Why this job: Make impactful contributions while collaborating with diverse teams in a dynamic environment.
- Qualifications: Proficient in site reliability principles, Python, AWS, Databricks, Snowflake, and Kubernetes.
The predicted salary is between 60000 - 80000 £ per year.
JPMorgan Chase & Co. is looking for a Site Reliability Engineer to support AI/ML data platforms. The position involves developing solutions for incident resolution, coordinating incident management, and mentoring team members.
Candidates should be proficient in site reliability principles, have strong Python skills, and experience with AWS, Databricks, Snowflake, and Kubernetes.
This role offers a chance to collaborate with cross-functional teams and make impactful contributions within the organization.
AI/ML Data Platform SRE - Build Resilient, Scalable Systems in London employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI/ML Data Platform SRE - Build Resilient, Scalable Systems in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at JPMorgan Chase & Co. Use LinkedIn to connect and engage with them. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! If you’ve got a GitHub or personal project showcasing your Python prowess or experience with AWS, Databricks, or Kubernetes, make sure to highlight it. It’s a great way to demonstrate your hands-on experience beyond just words.
✨Tip Number 3
Prepare for the technical interview! Brush up on site reliability principles and be ready to discuss how you’d tackle incident resolution. Practising common SRE scenarios can give you the edge you need to impress the interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate candidates who want to make an impact in AI/ML data platforms.
We think you need these skills to ace AI/ML Data Platform SRE - Build Resilient, Scalable Systems in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with site reliability principles and tools like AWS, Databricks, and Kubernetes. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI/ML data platforms and how your background makes you a great fit for our team. Let us know what excites you about the role!
Showcase Your Python Skills: Since strong Python skills are a must-have, consider including examples of your coding projects or contributions to open-source. We love seeing practical applications of your skills, so don’t hold back!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and get familiar with AWS, Databricks, Snowflake, and Kubernetes. Be ready to discuss how you've used these technologies in past projects, as this will show your practical experience and understanding of site reliability principles.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've resolved incidents in the past. Think about the challenges you faced, the solutions you implemented, and the outcomes. This will demonstrate your ability to handle real-world issues effectively.
✨Emphasise Team Collaboration
Since this role involves working with cross-functional teams, be ready to talk about your experiences collaborating with others. Highlight any mentoring roles you've taken on and how you've contributed to team success, as this will show you're a team player.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's AI/ML data platforms and their approach to incident management. This not only shows your interest in the role but also gives you a chance to assess if the company is the right fit for you.