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 Consumer & Community Banking division, your role involves being a key contributor to an agile team, designing and delivering secure, stable, and scalable technology products that lead the market. Your responsibilities include implementing critical technology solutions across a variety of technical domains to support various business functions, thereby aiding the firm in achieving its business objectives.

Job responsibilities

Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems. Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems. Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development. Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems. 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. Delivers all book of work assigned to the team.

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 3+ years applied experience. Hands on Ab Initio/ETL (Informatica) development experience. To gain expertise in critical business process of Deposits Eco system. Hands-on practical experience in system design, application development, testing, and operational stability. In-depth knowledge of Ab Initio/Informatica ETL programming (GDE/EME), Unix Shell Scripting and Control-M / Autosys batch schedulers. In-depth knowledge of developing application and infrastructure architectures. Experience in developing, debugging, and maintaining code in a large corporate environment and in RDBMS/querying languages. Solid understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security. Demonstrated knowledge of software applications and technical processes within a technical discipline (ETL Processing, Scheduling, Operations). Proficient in scripting with Python for data processing tasks and ETL workflows. Experience writing Splunk or Cloudwatch queries, DataDog metrics.

Preferred qualifications, capabilities, and skills

Familiarity with Java framework, modern front-end technologies and exposure to cloud technologies. Practical cloud native experience in AWS (EC2, S2, Glue, AWS Lambda, Athena, RDS, SNS), proficiency with Python, PySpark, Machine Learning disciplines. Strong experience with distributed computing frameworks such as Apache Spark, specifically PySpark and event driven architecture using Kafka. Experience with distributed databases like AWS DynamoDB and distributed computing frameworks such as Apache Spark, specifically PySpark. Working knowledge of AWS Glue services, including experience in designing, building, and maintaining ETL jobs for diverse data sources. Familiarity with AWS Glue Dynamic Frames to streamline ETL processes. Capability to troubleshoot common issues in PySpark and AWS Glue jobs, with the ability to identify and address performance bottlenecks.