At a Glance
- Tasks: Lead a team to create innovative data and AI solutions for real-world problems.
- Company: Join J.P. Morgan, a global leader in financial services with a people-first culture.
- Benefits: Competitive salary, diverse work environment, and opportunities for professional growth.
- Other info: Dynamic role with a focus on collaboration, curiosity, and commitment.
- Why this job: Make a significant impact by shaping the future of digital experiences at Chase.
- Qualifications: Experience in software engineering, cloud technologies, and leading teams.
The predicted salary is between 80000 - 100000 £ per year.
Out of the successful launch of Chase in 2021, we're a new team, with a new mission. We're creating products that solve real world problems and put customers at the center - all in an environment that nurtures skills and helps you realize your potential. Our team is key to our success. We're people-first. We value collaboration, curiosity and commitment.
Job Responsibilities
- Set the vision and multi-year strategy for the Data & AI Platform that powers Chase's next-generation digital experiences, translating enterprise priorities into an executable roadmap and measurable outcomes.
- Lead and scale a multi-discipline organization spanning data platform engineering and AI/MLOps, establishing clear ownership, org structure, operating rhythms, and standards for delivery.
- Own the platform's end-to-end data foundation—ingestion, transformation, orchestration, metadata/catalog, quality, and governed data products—built for reliability, scalability, and self-service adoption.
- Serve as the executive steward for compliant use of customer data, ensuring privacy, access controls, lineage, retention, and auditability are embedded by design and aligned to firm risk and regulatory expectations.
- Define and deliver platform enablement for LLM-powered applications, including reference architectures, developer tooling, model onboarding and deployment patterns, evaluation and testing, observability, and cost/latency guardrails.
- Establish engineering excellence and operational maturity through SLOs, resiliency practices, incident management, release governance, capacity planning, and continuous improvement across the platform.
- Drive a product-oriented platform model by partnering with product, security, legal, risk, architecture, and engineering leaders to prioritize the highest-leverage capabilities and accelerate adoption across teams.
- Enable data-driven product development at scale through trusted analytics pipelines, standardized telemetry, experimentation support, and consistent metrics to inform decisions and improve customer outcomes.
- Attract, develop, and retain top talent by building leadership depth, setting high standards, coaching managers and senior engineers, and fostering a culture of ownership, inclusion, and accountability.
Required Qualifications, Capabilities and Skills
- Being a problem solver: you can independently analyze a problem and come up with options on how to solve it.
- Flexibility regarding tools and languages: for example you have to be open to debug a permission issue one day in a python service and dig into some Java/Kotlin out-of-memory issue the other day (of course we take into account your expertise and you will have team members to help you out!).
- Knowledge of data structures.
- Experience with either Kubernetes or Docker.
- Experience with cloud technologies (AWS/Azure/GCP) and distributed systems, web technologies and event-driven architectures.
- Experience in leading people.
Preferred Qualifications, Capabilities and Skills
- Experience with message brokers (Kafka, RabbitMQ, Pulsar etc.).
- Experience with Kafka Connect.
- Preferably experience in setting up data platforms, setting standards - not just pipelines.
- Preferably experience in a distributed data processing environment/framework (e.g. Spark or Flink).
- Familiarity with advanced AI/ML concepts and protocols, such as Retrieval-Augmented Generation (RAG), agentic system architectures, and Model Context Protocol (MCP).
- Experience with MLOps tools and platforms (e.g., MLflow, Amazon SageMaker, Google VertexAI, Databricks, BentoML, KServe, Kubeflow).
- Experience with deploying to a GenAI platform a production system: Google VertexAI, OpenAI, AWS Bedrock, LangChain, etc.
Technologies We Use
- Java
- Kotlin
- Kubernetes
- Apache Kafka
- GCP
- BigQuery
- Spark
- VertexAI
- ModelArmor
- DeepEval
- Google ADK
Equal Employment Opportunity
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.
Principal Software Engineer - Engineering Manager - Data and AI Platform employer: JPMorganChase
At J.P. Morgan, we pride ourselves on being a people-first organisation that fosters collaboration, curiosity, and commitment. As a Principal Software Engineer - Engineering Manager in our Data and AI Platform team, you'll be at the forefront of innovation, driving impactful solutions while enjoying a supportive work culture that prioritises your professional growth and development. With a focus on diversity and inclusion, we offer a dynamic environment where your contributions are valued, and you can thrive alongside top talent in the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Software Engineer - Engineering Manager - Data and AI Platform
✨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 interviews by researching the company and its culture. Show them you’re not just another candidate; you’re genuinely interested in their mission and values.
✨Tip Number 3
Practice your problem-solving skills! Be ready to tackle technical challenges on the spot. Brush up on your coding and system design to impress during those technical interviews.
✨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 love seeing candidates who take that extra step!
We think you need these skills to ace Principal Software Engineer - Engineering Manager - Data and AI Platform
Some tips for your application 🫡
Show Your Passion:When you're writing your application, let your enthusiasm for the role shine through! We want to see how excited you are about the opportunity to lead and innovate in the Data & AI Platform space.
Tailor Your Experience:Make sure to highlight your relevant experience that aligns with the job description. We love seeing how your background in data structures, cloud technologies, and leadership can contribute to our mission at StudySmarter.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so make sure your skills and experiences are easy to understand. This helps us see how you fit into our team quickly!
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 ensures you’re considered for the role. We can’t wait to hear from you!
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 Java, Kotlin, Kubernetes, and Apache Kafka. Brush up on your knowledge of cloud platforms like AWS, Azure, or GCP, as well as distributed systems. Being able to discuss your experience with these tools will show that you're ready to hit the ground running.
✨Demonstrate Problem-Solving Skills
Prepare to showcase your problem-solving abilities by thinking through real-world scenarios you’ve faced in previous roles. Be ready to explain how you approached a complex issue, the options you considered, and the outcome. This will highlight your analytical skills and adaptability, which are crucial for this role.
✨Showcase Leadership Experience
Since this position involves leading a multi-discipline organisation, be prepared to discuss your leadership style and experiences. Share examples of how you've developed talent, fostered collaboration, and driven team success. This will demonstrate your capability to attract and retain top talent, aligning with the company’s people-first approach.
✨Align with Company Values
Familiarise yourself with the company's mission and values, particularly their focus on collaboration, curiosity, and commitment. During the interview, weave these values into your responses to show that you not only understand the company culture but also see yourself thriving within it.
