Lead Software Engineer - AWS/Python

JPMorgan Chase•New York, NY

12d

About The Position

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer - AWS/Python at JPMorgan Chase within the Consumer and Community Banking-Card Technology team, your role involves designing, developing, and implementing market-leading robust technology products that align with the organization's strategic goals. You will leverage your expertise in design, architecture, data modeling, data migrations, data integration, software and product development, collaborating with cross-functional teams to achieve target business goals.

Requirements

Formal training or certification on software engineering concepts and 5+ years applied experience
Expertise in coding modern programming technologies such as Python, Java, NoSQL databases, SQL, Container Orchestration (Kubernetes), and a variety of AWS tools and services in automation and continuous delivery methods.
Experience in aligning technology roadmap strategy to business goals and executing complex projects
Proficiency in architecture disciplines within programming including design, data modeling, integration, cloud data services, data domain driven design
Proven experience developing, debugging, and maintaining code within large corporate environments, utilizing multiple modern programming languages and database querying languages
Practical experience in AWS cloud implementation, big data technologies, and data engineering disciplines, with proficiency in AWS data services such as Lake Formation, Glue ETL, ECS, EMR, S3, Glue Catalog, Athena, Kinesis/MSK, Airflow, Lambda, Step Functions, and EventBridge
Proficiency in SQL/Spark SQL and different on-prem databases and other cloud native relational databases, e.g. Aurora, Snowflake, Athena, Postgres, Databricks, Iceberg
Experience leading teams in an agile environment, with a strong commitment to teamwork and collaboration.

Nice To Haves

Experience in building highly scalable and high-throughput data platforms
Familiarity with front-end technologies such as HTML5/CSS3 and JS frameworks (e.g., AngularJS, React, jQuery, Bootstrap)
Experienced in data serialization and deserialization using Parquet, Iceberg, AVRO, and JSON-LD, as well as implementing AWS data security concepts including Lake Formation, IAM, service roles, encryption, KMS, and Secrets Manager
Knowledge of testing tools (e.g., JUnit, Selenium, Cucumber) and build/packaging tools (e.g., Jenkins, Maven). Experience with code versioning tools
Experience with AI/ML technologies
Business architecture knowledge and experience with architecture assessment frameworks
Written and oral communication skills; ability to communicate effectively with all levels of management and partners from a variety of business functions

Responsibilities

Lead and mentor a technology scrum team, fostering a culture of innovation and excellence
Lead the strategic direction and execution of software solutions, encompassing design, development, and technical troubleshooting, with the ability to innovate beyond routine or conventional approaches to build solutions and resolve complex technical challenges
Collaborate with product and business teams to develop and execute a multi-year roadmap for platform features
Define database back-up, recovery, and archiving strategy and design & develop data pipelines end-to-end
Drive the modernization and transformation of the platform, ensuring scalability, security, and performance
Oversee the end-to-end development process, including requirements definition, design, implementation, testing, and integration
Develop multi-year roadmaps aligned with business and technology strategies, designing reusable frameworks using new technologies, and setting the vision for future technological advancements
Ensure alignment with the firm’s Risk and Control agenda and security standards
Provide mentorship and training to new development teams, promoting continuous learning and improvement
Create functional and technical documentation supporting best practices