What are the responsibilities and job description for the Lead Software Engineer - AWS/Python position at JPMorgan Chase?
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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.
Job 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
Required qualifications, capabilities and skills
- 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.
Preferred qualifications, capabilities and skills
- 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