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 Lead Software Engineer - Data Platform at JPMorgan Chase within the Platform Team you are the heart of this venture, focused on getting smart ideas into the hands of our customers. You have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By your nature, you are also solution-oriented, commercially savvy and have a head for fintech. You thrive in working in tribes and squads that focus on specific products and projects – and depending on your strengths and interests, you'll have the opportunity to move between them.
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.
Job responsibilities:
- Build infrastructure to support financial products at scale.
- Setting up the data platform to complement the application platform which will provide modern data services for the applications running on it (ingestion, querying, governance, etc.).
- Using open source products whenever we can, and roll our own solutions when that makes sense.
- Helping teams to identify their data needs and help them to leverage the platform in the best possible way.
- Providing a "knowledge center" for all other application teams also on regulatory/control aspects of data and we tailor our solutions to accommodate those.
Required qualifications, capabilities and skill:
- Formal training or certification on software engineering concepts and applied experience
- Being a problem solver: you can independently analyze a problem and come up with options on how to solve it.
- Co-Location Commitment: Emphasize the importance of co-location; spend 3-4 days a week in the office during this formative stage (subject to review in later phases).
- Flexibility regarding tools and languages: you have to be open to debug an SSO 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 at least one cloud platform.
- Experience with Kubernetes and Docker.
- Experience with message brokers (Kafka, RabbitMQ, Pulsar etc.).
- 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).
Technologies:
- Java, Kotlin, Python (candidate is not expected to be proficient in one, and open to learn about the other)
- Kubernetes
- Apache Pulsar
- GCP, BigQuery, BigTable, Spark (Note: we are at an early stage, these might change these if the team decides there is a better fit)
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