Lead Software Engineer - Sr. AWS Platform Engineer

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan Chase within the Commercial and Investment Bank, youare an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Candidates must have a strong curiosity for data and proven track record of successfully implementing AWS solutions with proficiency in software engineering. The ideal candidate will have a strong knowledge of AWS solutions, Java, Python, and data applications.

• Design, build, and maintain scalable and secure AWS infrastructure using best practices.
• Develop and manage Infrastructure as Code (IaC) using Terraform.
• Architect and implement solutions leveraging AWS services such as EC2, ECS, Lambda, Load Balancers, API Gateway, S3, EBS, SQS, SNS, and other storage and messaging services.
• Collaborate with development teams to deploy application code to AWS environments, ensuring smooth CI/CD processes.
• Develop automation scripts and tools using Python to streamline operations and improve efficiency.
• Monitor, troubleshoot, and optimize AWS networking components, ensuring high availability and performance.
• Provide technical guidance and mentorship to junior engineers.

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Expert-level proficiency in AWS services, including:
  Compute: EC2, ECS, Lambda, Networking:
  Load Balancers, API Gateway, Storage: S3, EBS, Messaging: SQS, SNS
• Hands-on experience with Terraform for infrastructure automation.
• Strong knowledge and development experience with Python.
• Solid understanding of networking concepts and architecture on AWS.
• Proficiency in automation and continuous delivery methods
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• In-depth knowledge of the financial services industry and their IT systems
• Practical cloud native experience

• Familiarity with Data Engineering and Big Data processing technologies (e.g., Spark, AWS EMR/Glue, Athena) and streaming services.
• Experience working in a Linux environment and proficiency with Shell scripting.
• Experience deploying application code to AWS and familiarity with CI/CD pipelines and tools.
• Experience with SQL and No
  
  SQL Databases, Like RDS, Dynamo
  
  DB, Neo4j.