Software Engineer III - Python, AWS

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, 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 firm’s business objectives.

Job responsibilities
 

- Proficient knowledge in core data-related AWS services, ability to ingest and transform data, orchestrate data pipelines while applying programming concepts, design data models, manage data life cycles, and ensure data quality.
- Maintain, operationalize, and orchestrate data pipelines with EventBridge, Airflow, AWS Step Functions.
- Apply security, governance, and privacy best practices to your AWS data pipelines.
- Process batch and streaming data with Kinesis, EMR, containers, Lambda.
- Detects, troubleshoots and Resolves Production issues in a Enterprise multi-environment settings using advanced observability tools.
- Proactively identifies hidden problems and patterns in data and uses these insights to promote improvements to coding hygiene and system architecture.
- Contributes to software engineering communities of practice and events that explore new and emerging technologies.
- 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.
- Gathers, analyzes, synthesizes, and develops visualizations and

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 3+ years applied experience
Proficient in public Cloud hosted Platform - AWS. In-depth knowledge is a must for AWS ECS, S3, SQS, SNS, Lambda, Glue, pySpark, cloudwatch
Experienced in SRE and Observability tools - Splunk, Dynatrace and Datadog & Proficient in Oracle, DB2 and AW Aurora Postgress Database. Hands on experience writing SQL is a must
Hands on experience in Software Development tools and CI/CD tools - Jenkins, Spinnaker, IntelliJ, Bitbucket
Hands on experience in IAC - Terraform & Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)  & Proficient in coding using Python


Preferred qualifications, capabilities, and skills

Experience in AWS Glue and PySPark
Experience in Data Pipeline design and development
Experience in Cloud migration projects