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 financial services.
- Benefits: Competitive salary, diverse culture, and opportunities for career advancement.
- Other info: Dynamic environment with a focus on diversity and inclusion.
- Why this job: Make a real impact with cutting-edge technology and strategic change.
- Qualifications: Experience in AI/ML, site reliability, and strong collaboration skills.
The predicted salary is between 80000 - 100000 £ 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.
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 Us
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
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: hackajob
Contact Detail:
hackajob Recruiting Team
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 folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to AI/ML. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 3
Showcase your projects! Whether it's GitHub repos or personal blogs, let your work speak for itself. We love seeing real examples of your skills in action, especially in AI/ML.
✨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 individuals to join our 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 technologies like Databricks and AWS. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant projects!
Showcase Your Problem-Solving Skills: In your application, share specific examples of how you've tackled complex challenges in previous roles. We love seeing candidates who can demonstrate their ability to drive strategic change and foster a culture of reliability.
Highlight Your Mentoring Experience: Since mentoring is a key part of this role, be sure to mention any experience you have in guiding team members or leading projects. We value collaboration and want to know how you can help others grow!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensure you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at hackajob
✨Know Your Tech Inside Out
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
Prepare to discuss specific examples where you've tackled complex challenges, especially in AI/ML solutions. Think about how you’ve implemented automation tools or improved operational stability in past roles, as these experiences will resonate with the interviewers.
✨Demonstrate Your Mentorship Abilities
Since mentoring is a key part of this role, be ready to share instances where you’ve guided team members or driven strategic change. Highlight your collaborative spirit and how you’ve built meaningful relationships across teams.
✨Understand the Company Culture
Familiarise yourself with JPMorganChase’s values around reliability and growth. Be prepared to discuss how you can contribute to fostering a positive site reliability culture and ensure compliance with risk controls, as this will show you’re aligned with their mission.