Description

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 Consumer and Community Banking, you are an integral part of a 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.

Job responsibilities

• Designing and deploying scalable, secure, and reliable cloud infrastructure and platforms using AWS Services.
• Working closely with development teams, architects, and other stakeholders to understand requirements and deliver solutions that meet business needs.
• Develop automation tools for efficient, noiseless alerting, toil, and technical debt.
• Analyzing and optimizing the performance of the platform to ensure resiliency, high availability, and responsiveness.
• Ensuring that the platform is secure by implementing best practices and security measures, such as access controls, encryption, and vulnerability assessments.
• Troubleshoot minor/major incidents and contribute to resolution through post-mortems.
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge 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 5+ years applied experience
• Committed to continuous learning and improvement. Identify opportunities for improvement, explore new ideas, and methodologies that enhances our systems.
• Proficient in AWS and Kubernetes
• Experience with infrastructure as code (IaC) using tools like Terraform or AWS CloudFormation
• Hands-on experience with cloud deployment, monitoring, and ops analysis tools such as Splunk, Dynatrace.
• Proficient in at least one software language (e.g. Python/GO)
• Expertise in application, data and infrastructure architecture disciplines
• Knowledge of AWS security best practices, including identity and access management, encryption, and network security.

Preferred qualifications, capabilities, and skills

• Understanding of AWS AI and machine learning services like SageMaker, Rekognition.