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- Tasks: Build and support scalable AI/ML data solutions while solving complex challenges.
- Company: Join JPMorgan Chase, a leader in innovative tech solutions.
- Benefits: Competitive salary, mentorship, remote work, and growth opportunities.
- Other info: Collaborative environment with excellent career advancement potential.
- Why this job: Make a real impact on AI/ML platforms and drive strategic change.
- Qualifications: Experience in site reliability and proficiency in Python or PySpark.
The predicted salary is between 60000 - 80000 £ per year.
Join us to shape the future of AI/ML data platforms and make a real impact on how we deliver market‑leading solutions. You will collaborate with talented colleagues, solve complex challenges, and help drive strategic change across our organization. At JPMorgan Chase, you’ll find opportunities for growth, mentorship, and the chance to work with cutting‑edge technologies.
As a Site Reliability Engineer in the AI/ML Data Platforms team, you will play a key role in building and supporting scalable, resilient data solutions. Your work will include root cause analysis, production changes, and collaboration with cross‑functional teams to drive improvements. You will also mentor team members and partner with colleagues across our global network. Your efforts will directly impact the reliability and performance of our AI/ML platforms.
Responsibilities
- Develop and support AI/ML solutions for troubleshooting and incident resolution
- Coordinate incident management coverage to ensure effective resolution of application issues
- Collaborate with cross‑functional teams to perform root cause analysis and implement production changes
- Apply expertise in application development and support using technologies such as Databricks, Snowflake, AWS, and Kubernetes
- Mentor and guide team members to drive strategic change
- Build tools to automate repeated tasks and reduce operational toil
- Ensure compliance with risk controls and company standards
- Contribute to system design, resiliency, testing, operational stability, and disaster recovery
- Foster a collaborative team environment to achieve common goals
Required Qualifications, Capabilities, and Skills
- Proficient in site reliability culture and principles, with experience implementing them within applications or platforms
- Skilled in running production incident calls and managing incident resolution
- Experience with observability, including monitoring, alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, or Splunk
- Strong understanding of SLI/SLO/SLA and error budgets
- Proficiency in Python or PySpark for AI/ML modeling
- Ability to automate tasks and reduce toil through tool development
- Hands‑on experience in system design, resiliency, testing, operational stability, and disaster recovery
- Awareness of risk controls and compliance with organizational standards
- Ability to work collaboratively and build meaningful relationships
Preferred Qualifications, Capabilities, and Skills
- Experience in an SRE or production support role with AWS Cloud, Databricks, Snowflake, or similar technologies
- AWS and Databricks certifications
Software Engineering III - AMDP employer: JPMorganChase
Contact Detail:
JPMorganChase Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineering III - AMDP
✨Tip Number 1
Network like a pro! Reach out to current employees at JPMorgan Chase on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills and understanding of site reliability principles. Practice common interview questions and scenarios related to AI/ML solutions to show you're ready to tackle real challenges.
✨Tip Number 3
Showcase your projects! Whether it's a GitHub repo or a personal website, having tangible examples of your work with tools like Databricks or AWS can really impress hiring managers. Let them see what you can bring to the table!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the JPMorgan Chase team.
We think you need these skills to ace Software Engineering III - AMDP
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Software Engineering III role. Highlight your experience with AI/ML solutions and any relevant technologies like AWS or Databricks. We want to see how your skills align with what we’re looking for!
Showcase Your Problem-Solving Skills: In your application, don’t just list your skills—give us examples of how you've tackled complex challenges in the past. We love seeing real-world applications of your expertise, especially in incident resolution and root cause analysis.
Be Authentic: Let your personality shine through in your written application. We value collaboration and a good team environment, so share your passion for working with others and how you’ve contributed to team success in previous roles.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way to ensure it gets into the right hands. Plus, you’ll find all the details about the role and our company culture there!
How to prepare for a job interview at JPMorganChase
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Databricks, Snowflake, AWS, and Kubernetes. Brush up on your Python or PySpark skills too, as they’ll likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific examples of how you've tackled complex challenges in previous roles. Highlight your experience with root cause analysis and incident management, as these are key aspects of the role.
✨Demonstrate Collaboration
Since this role involves working with cross-functional teams, think of instances where you’ve successfully collaborated with others. Share how you’ve built relationships and fostered a team environment to achieve common goals.
✨Prepare for Scenario Questions
Expect scenario-based questions that test your understanding of site reliability principles and incident resolution. Practice articulating your thought process and decision-making when faced with production issues or system design challenges.