JPMorgan Chase & Co. is expanding its consumer business by launching a new digital bank in the UK. We will offer consumers a completely new banking choice when we launch in the coming months. Using the Chase brand, the bank will provide products and features tailored to meet the needs of customers in the U.K., delivered via an innovative mobile app.

Our team is at the heart of this new venture, focused on developing offerings that put the customer at the center. We have created a new organization and we are looking for solution-oriented, commercially minded, customer-focused engineers, used to working in an agile environment who want to be a part of building something new from the ground up within a diverse and inclusive team.

Culture is as important to us and we are looking for intellectually curious individuals with a passion for solving hard problems by using the right technologies to deliver impact. The ideal candidates would like to expand their skills whilst working on a new exciting venture for the firm. Your work will have a massive impact, both on us as a company, as well as our clients and our business partners around the world.

Job Description

This is a hands-on data engineering operations role within a green-field initiative. The ideal candidate will be involved actively with architecting, building, deploying and maintaining a cloud-native, web-scale data platform with aspirations of maturing into an insights and machine learning platform.

Required Technical Qualifications & Experience

Academic qualification in a computer science or STEM (science, technology, engineering or mathematics) related field or the foreign equivalent

Professional experience working in an agile, dynamic and customer facing environment
At least 7 years of recent hands-on professional experience working as a DevOps engineer or SRE (back-end software engineer with sufficient operations experience considered)
Understanding of distributed systems and cloud technologies (AWS, GCP, Azure, etc.)
Understanding of data streaming and scalable data processing frameworks (Kafka, Spark Structured Streaming, Flink, Beam etc.)
Experience with SQL (any dialect) and Data tools (ie. Dbt)
Experience in the all stages of software development lifecycle (requirements, design, architecture, development, testing, deployment, release and support) and apply that for operations excellence
Experience with setups of systems that process large scale datasets, data lake and data warehouse technologies on at least TB scale (ideally PB scale of datasets) with at least one of {BigQuery, Redshift, Snowflake}
Experience in resilient Infrastructure as Code (ideally Terraform) for Cloud based data infrastructure with high SLOs
Experience with containers and container-based deployment environment (Docker, Kubernetes, etc.)
Understanding of security frameworks / standards and privacy

Desirable Technical Qualifications & Experience

Experience with a scheduling system (Airflow, Azkaban, etc.)
Understanding of (distributed and non-distributed) data structures, caching concepts, CAP theorem
Desired experience in automating deployment, releases and testing in continuous integration, continuous delivery pipelines
A solid approach to writing unit level tests using mocking frameworks, as well as automating component, integration and end-to-end tests
Good experience with using a JVM language (Java/Scala/Kotlin, preferably Java 8+) or extensive knowledge of Python
Experience in managing resilient and high volume ML Ops using Infrastructure as Code

Soft Skills

Ability to work in a collaborative environment and coach other team members on coding practices, design principles, and implementation patterns that lead to high-quality maintainable solutions.
Ability to work in a dynamic, agile environment within a geographically distributed team
Ability to focus on promptly addressing customer needs
Ability to work within a diverse and inclusive team
Technically curious, self-motivated, versatile and solution oriented
Excellent written and verbal communication skills in English

Keyword: consumer%20banking