Lead Software Engineer - AWS Python Developer Lead

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 at JPMorgan Chase within the Consumer and Community Banking line of business. 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.

Job responsibilities:

• 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.
• Defines database back-up, recovery, and archiving strategy
• Promote 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.
• Design & develop data pipelines end to end using Spark SQL, Java and AWS Services. Utilize programming languages like Java, Python, NoSQL databases, SQL, Container Orchestration services including Kubernetes, and a variety of AWS tools and services.
• 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.
• Creates functional and technical documentation supporting best practices

• Formal training or certification on Software Engineering concepts and 5+ years applied experience
• Experience in aligning technology roadmap strategy to business goals and executing complex projects.
• Expertise in architecture disciplines and programming languages.
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying language.
• Deep knowledge of design, architecture, data modeling, integration, cloud data services, data domain driven design, best practices, and industry trends in engineering and product development
• Practical experience with AWS, big data technologies, and data engineering disciplines.

• Proficiency in SQL and different on-prem databases and other cloud native relational databases, e.g. Aurora, Snowflake, Athena, Postgres, Databricks, Iceberg
• Proficiency in automation and continuous delivery methods.

• Strong experience in building highly scalable and high-throughput data platforms.
• Experience with AI/ML technologies
• Proficient in modern technologies such as Kafka streaming, Spark, Python, Java, Cloud, Airflow, Kubernetes
• Must have experience leading teams in an agile environment, with a strong commitment to teamwork and collaboration.ave an experience working in a team, and ability to tackle design and functionality problems independently with little to no oversight
• Familiarity with front-end technologies such as HTML5/CSS3 and JS frameworks (e.g., AngularJS, React, jQuery, Bootstrap).
• Knowledge of testing tools (e.g., JUnit, Selenium, Cucumber) and build/packaging tools (e.g., Jenkins, Maven). Experience with code versioning tools.