Software Engineer III - Kubernetes, Bigadata, CI/CD
Software Engineer III - Kubernetes, Bigadata, CI/CD
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Job Description
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 Chief Technology Office 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 firms 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 opportunity inclusion and respect
Required qualifications capabilities and skills
- Formal training or certification on software engineering concepts and 3 years applied experience
- Hands on experience focusing on cloud and Big Data environments.
- Experience in leading and managing software engineering teams with successful project delivery.
- Proficiency in programming languages like Python or Java with cloud-native development experience.
- Expertise in AWS services (Data Lakes EMR ECS/ECS Glue) and Hadoop ecosystem tools.
- Experience with Infrastructure as Code (IaC) tools like Terraform for cloud resource management.
- Strong understanding of SDLC agile methodologies CI/CD and exposure to AI and machine learning applications
Preferred qualifications capabilities and skills
- Familiarity with Cloudera Data Platform
- Familiarity with Databricks and Open Table formats like Iceberg Delta Lake
- AWS Cloud Certification will be plus
- Bachelors or Masters degree in Computer Science Engineering or a related field
Employment Type
Full-Time
