At a Glance
- Tasks: Lead the vision for Data and AI capabilities, driving innovation in digital experiences.
- 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 team focused on collaboration, curiosity, and commitment to diversity.
- Why this job: Make a real impact by solving real-world problems with cutting-edge technology.
- Qualifications: Experience in software engineering, cloud technologies, and leading teams.
The predicted salary is between 80000 - 100000 £ per year.
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.
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.
As a Principal Software Engineer - Engineering Manager at JPMorganChase within the Accelerator Business, you would be responsible for the vision for the Data and AI capabilities of the platform - to enable product teams to focus on their core problems and platform would cover the rest. To give a not complete list of examples: data ingestion, transformation, exposing in various query engines, LLM patterns, audit, safety guardrails, compliance and observability.
While we’re looking for professional skills, culture is just as important to us. We understand that everyone's unique – and that diversity of thought, experience and background is what makes a good team, great. By bringing people with different points of view together, we can represent everyone and truly reflect the communities we serve. This way, there's scope for you to make a huge difference – on us as a company, and on our clients and business partners around the world.
Technologies We Use
- Java
- Kotlin
- Kubernetes
- Apache Kafka
- GCP
- BigQuery
- Spark
- VertexAI
- ModelArmor
- DeepEval
- Google ADK
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.
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. Visit our FAQs for more information about requesting an accommodation.
About The Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.
Principal Software Engineer - Engineering Manager - Data and AI Platform in London employer: hackajob
At J.P. Morgan, we pride ourselves on being a people-first organisation that fosters a culture of collaboration, curiosity, and commitment. As a Principal Software Engineer - Engineering Manager within our innovative Data and AI Platform team, you'll have the opportunity to lead transformative projects while benefiting from a supportive environment that prioritises diversity and inclusion. With a focus on employee growth and development, we offer unique advantages such as access to cutting-edge technologies and a commitment to building trusted partnerships that empower you to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Software Engineer - Engineering Manager - Data and AI Platform in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A personal connection can often get you a foot in the door faster than any application.
✨Tip Number 2
Prepare for those interviews! Research the company and its culture, especially since they value collaboration and diversity. Be ready to share how your unique experiences can contribute to their mission.
✨Tip Number 3
Showcase your problem-solving skills during interviews. Be ready to discuss specific challenges you've faced and how you tackled them, especially in tech environments like data platforms or AI.
✨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 genuinely interested in the role.
We think you need these skills to ace Principal Software Engineer - Engineering Manager - Data and AI Platform in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight how your skills and experiences align with the role of Principal Software Engineer - Engineering Manager. We want to see how you can contribute to our mission at J.P. Morgan!
Showcase Your Problem-Solving Skills:In your application, don’t just list your technical skills; share examples of how you've tackled complex problems in the past. We love seeing candidates who can think critically and come up with innovative solutions!
Highlight Your Leadership Experience:Since this role involves leading a multi-discipline organisation, make sure to emphasise any leadership roles you've held. We’re looking for someone who can inspire and develop their team while driving engineering excellence.
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 hackajob
✨Know Your Tech Stack
Familiarise yourself with the technologies mentioned in the job description, like Java, Kotlin, Kubernetes, and GCP. Be ready to discuss your experience with these tools and how you've used them in past projects. This shows you’re not just a fit for the role but also genuinely interested in what they do.
✨Showcase Problem-Solving Skills
Prepare examples of how you've tackled complex problems in your previous roles. Think about specific challenges related to data ingestion or AI capabilities and how you approached them. This will demonstrate your analytical skills and ability to think on your feet.
✨Emphasise Collaboration and Culture Fit
Since the company values collaboration and diversity, be ready to share experiences where you worked effectively in a team. Highlight how you’ve contributed to a positive team culture and how you embrace different perspectives. This will resonate well with their people-first approach.
✨Prepare Questions About Their Vision
Have insightful questions ready about the company's vision for the Data and AI platform. Ask about their multi-year strategy or how they plan to enhance customer experiences. This shows your interest in the role and that you’re thinking about the bigger picture.
