At a Glance
- Tasks: Shape the future of AI/ML data platforms and mentor innovative teams.
- Company: Join J.P. Morgan, a global leader in banking and investment.
- Benefits: Competitive salary, health coverage, wellness support, and tuition reimbursement.
- Other info: Diverse and inclusive workplace with excellent growth opportunities.
- Why this job: Make a real impact in AI/ML while advancing your career.
- Qualifications: Experience in site reliability and proficiency in Python or PySpark.
The predicted salary is between 70000 - 90000 € per year.
Join us to shape the future of AI/ML data platforms, where your expertise will help create resilient and market‑leading solutions. You will have the opportunity to collaborate with innovators across our global network, driving strategic change and mentoring others. We value your skills in solving complex challenges and fostering a culture of reliability and growth. At JPMorgan Chase, your impact will reach far beyond your team, opening doors to career advancement and meaningful relationships.
As a Site Reliability Engineer in the AI/ML Data Platforms team, you will play a key role in building scalable and resilient data solutions. You will engage in root cause analysis, production changes, and operational improvements, while supporting budgetary and staffing decisions. You will mentor team members and partner with colleagues across the organization to drive strategic change. Your contributions will help shape a collaborative, innovative, and high‑performing team culture.
Job Responsibilities
- Demonstrate expertise in application development and support across technologies such as Databricks, Snowflake, AWS, and Kubernetes.
- 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.
- Develop and support AI/ML solutions for troubleshooting and incident resolution.
- Mentor and guide team members to foster growth and drive strategic change.
- Build and maintain scalable, resilient, and market‑leading data solutions.
- Support budgetary and staffing considerations to optimize team performance.
- Engage in operational stability and disaster recovery planning.
- Implement automation tools to reduce toil and improve efficiency.
- Ensure compliance with risk controls and company‑wide standards.
- Build meaningful relationships across teams to achieve common goals.
Required Qualifications, Capabilities, And Skills
- Proficient in site reliability culture and principles, with experience implementing site reliability within applications or platforms.
- Skilled in running production incident calls and managing incident resolution.
- Experienced in observability, including white and black box monitoring, service level objective alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, and Splunk.
- Strong understanding of SLI/SLO/SLA and Error Budgets.
- Proficient in Python or PySpark for AI/ML modeling.
- Able to reduce toil by building automation tools for repeated tasks.
- Hands‑on experience in system design, resiliency, testing, operational stability, and disaster recovery.
- Awareness of risk controls and compliance with departmental and company‑wide standards.
- Collaborative team player with the ability to 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.
- Advanced knowledge of AI/ML troubleshooting and incident resolution.
- Familiarity with budgetary and staffing optimization.
- Experience mentoring and guiding team members.
- Strong communication and interpersonal skills.
- Demonstrated ability to drive strategic change across teams.
About The Team
J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission‑based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on‑site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more.
Additional details about total compensation and benefits will be provided during the hiring process. 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.
Senior Lead Software Engineering - AI/ML Engineer 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 Senior Lead Software Engineer in our AI/ML Data Platforms team, you will not only have the chance to work with cutting-edge technologies but also enjoy comprehensive benefits, including health care coverage, retirement plans, and professional development opportunities. Our commitment to diversity and inclusion ensures that every employee's unique talents are valued, making this an ideal environment for meaningful career growth.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Lead Software Engineering - AI/ML Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at JPMorganChase 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. Make sure you can confidently discuss your experience with AI/ML solutions and site reliability principles. Practice common interview questions and scenarios related to incident management and production changes.
✨Tip Number 3
Show off your mentoring skills! Be ready to share examples of how you've guided team members in the past. This is key for roles that value collaboration and growth, like the one at JPMorganChase.
✨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, it shows you’re serious about joining the team.
We think you need these skills to ace Senior Lead Software Engineering - AI/ML Engineer
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with AI/ML solutions and site reliability principles. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant projects!
Showcase Your Technical Skills:Don’t forget to mention your proficiency in tools like Databricks, AWS, and Python. We’re looking for someone who can hit the ground running, so let us know about your hands-on experience and any certifications you might have.
Highlight Collaboration Experience:Since this role involves working with cross-functional teams, share examples of how you've successfully collaborated in the past. We love seeing candidates who can build meaningful relationships and drive strategic change!
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
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, as they’ll be crucial for AI/ML modelling. Being able to discuss your hands-on experience with these tools will show that you’re ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex challenges, especially in site reliability or incident management. Think about times when you’ve performed root cause analysis or implemented production changes. This will demonstrate your ability to contribute to operational stability and disaster recovery planning.
✨Emphasise Mentorship and Collaboration
Since mentoring is a key part of this role, come prepared with examples of how you’ve guided team members in the past. Highlight your collaborative spirit and how you’ve built meaningful relationships across teams. This will show that you can foster a culture of growth and drive strategic change.
✨Understand the Company Culture
Familiarise yourself with JPMorgan Chase’s values around diversity, inclusion, and employee support. Be ready to discuss how you align with these values and how you can contribute to a high-performing team culture. Showing that you understand and appreciate the company’s ethos can set you apart from other candidates.
