Software Engineer III-AWS, Databricks, Python

There’s nothing more exciting than being at the center of a rapidly growing field in technology and applying your skillsets to drive innovation and modernize the world's most complex and mission-critical systems.

As a Software Engineer III - Python + AWS Developer at JPMorgan Chase within the Employee Platforms, 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 EP’s Data strategy objectives. You will collaborate with the team to solve large scale relevance and ranking problems, engineer scalable features, and support ML Ops work to build brand new systems that benefit EP Data strategy.

Job Responsibilities

• Lead complex projects that require cross-organizational alignment and collaboration.
• Analyze complex datasets used to make decisions regarding real-world applications.
• Investigate the applicability of new approaches to business problems and products by combining theory and experimentation.
• Write software code that is built and deployed in production systems.
• Anticipate and consider risks when building software engineering solutions. 
• Communicate complex issues clearly and credibly to consult on and approve team decisions while driving broader organizational actions.
• Work transparently cross-functionally and influence your peers to do the same.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Minimum 5+ years of experience in AWS, Databricks, Python
• High level understanding of machine learning lifecycle and associated technologies within the AWS ecosystem
• Experience in building big data pipelines.
• Experience with infrastructure as code tooling such as Terraform.
• Experience with container and container orchestration such as ECS, Kubernetes
• Comfortable troubleshooting common containerization technologies and issues
• Knowledge of continuous integration and continuous delivery tools like Jenkins, GitLab, or GitHub Actions
• A strong technical advocate with a background in Java or Scala, and Python.
• Comfortable working in a cloud environment like AWS/GCP or Azure
• Passionate about working with large unstructured and structured datasets.

Good to have skills:

• Exposure to supporting ML model training and deployment pipelines, managing scoring endpoints.

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.