JPMorgan Chase & Co.
Software Engineer III – AWS, Python, Spark, Databricks
Job Description
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorgan Chase within the Corporate Data Services team which is aligned to Corporate Technology you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
In our Data Platform Engineering team, we look for software engineers who are passionate about solving business problems through innovation and engineering excellence. As a key member of the Data Platform Engineering team, you will be responsible for designing and building scalable cloud-native foundational data solutions. In this role,
Job responsibilities
- You will work closely with a team of passionate data engineers and architects to deliver cloud-native data capabilities
- You will design strategically while building applications that solve for real-world use cases.
- You will create engineering designs as well as repeatable and scalable frameworks to successfully manage large amounts of data, ensuring compliance with data classification requirements while maintaining data integrity and accessibility.
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
- Contributes to software engineering communities of practice and events that explore new and emerging technologies
- Adds to team culture of diversity, equity, inclusion, and respect.
Required qualifications, capabilities, and skills
- Formal Training and experience of 3+ years in required skill sets
- Expertise in application, data, and infrastructure architecture disciplines.
- Fluency in cloud-native architecture, design and implementation across all systems.
- Excellent interpersonal skills and ability to communicate with clarity, brevity and tailor message to a technical or business audience.
- Ability to make sound architecture decisions based on enterprise architecture principles, structural (integration patterns, frameworks, configurability, etc.) and operational characteristics (security, reliability, availability, scalability, cost, etc.)
- Expertise in modernization using micro-front end patterns, micro-services & APIs, Event Driven Architecture (Kafka), Containerization/Kubernetes, and NoSQL databases (MongoDB etc.)
- Ensure that any capability gaps are clearly laid out and fed into the platform backlog for future roadmap
- Experience in architecting for private & public cloud (AWS, GCP, Azure) with AWS experience being strongly preferred
- Experience in domain driven design, lean architecture and agile delivery
- Experience in big data environment, working with structured, semi-structured and unstructured data
- Strong software engineering and object-oriented programming skills with expertise in languages such as Scala and Java; and open-source frameworks/libraries, such as Apache Spark, Apache Airflow
- Experience with containers, Kubernetes, Docker, Amazon EKS, Amazon ECS
- Experience in building apps for real-time streaming using Apache Spark Streaming, Apache Kafka and/or Amazon Kinesis
- Experience in building on emerging cloud serverless managed services, to minimize/eliminate physical/virtual server footprint
- Experience with development tools such as Jenkins, SVN/Crucible/Jira, Git/Stash
Preferred qualifications, capabilities, and skills
- Experience in designing and developing data pipelines, using Databricks/Snowflake, to ingest, enrich, and validate data from multiple sources
- Experience in re-engineering and migrating on-premises data solutions to and for the cloud
- Experience in implementing security solutions for data storage and processing in the public cloud
- Knowledge of traditional big data systems, such as Hadoop, Impala, Sqoop, Oozie, Cassandra, Hive, HBase
JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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.