Job Description
As a Software Engineer III at JPMorgan Chase within the Corporate & Investment Bank, Digital & Platform Services team, 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
- 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
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 2+ years of applied experience
- Hands-on practical experience in system design, application development, testing, and operational stability
- Proficient in coding in one or more languages Java 8+ and Python and debugging skills
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
- Overall knowledge of the Software Development Life Cycle
- Solid understanding of agile methodologies and hands on experience in CI / CD, Application Resiliency, Security and deployments in AWS public cloud
- Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.
Having excellent knowledge of & experience with event driven, microservice, REST / API, cloud based architectures
- Hands-on experience with AWS Glue, AWS Athena, EMR, Lambda, and Step-functions with API Gateway, AWS ECS, AWS EKS, AWS Fargate, Kubernetes, AWS S3, AWS EC2, AWS Lake Formation
- Big data expertise in Apache Spark ETL, Snowflake
- Experience writing performant SQL code / stored procedures
- Experience with data visualization tools such as Tableau, Qlikview, Quicksight, etc.
Preferred qualifications, capabilities, and skills
- Strong AWS cloud experience and cloud certification
- Experience with Big data (Demonstrates knowledge of Py-Spark, Data Bricks
- Experience with reliability practices and observability tools such as CloudWatch, Prometheus, Datadog
- Hands-on working experience with Bitbucket, Terraform, Jenkins, Artifactory, DataDog, ServiceNow
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