Lead Software Engineer
JPMorgan Chase & Co.About the role
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 Corporate and Investment Banking - Digital and Platform Services / Payments Testing Technology Teams, you are 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.
This team facilitates internal and client testing efforts to validate new payment product flows and updates to existing payment products in a production parallel environment. On a daily basis, clients move hundreds of billions of dollars. Thus testing of payment flows is critical in ensuring seamless payment transactions for the clients. The team is responsible for test environment management and automation solutions for 60+ applications in the payments flow. We currently serve 30,000 clients - some of which are the largest companies in the world. We provide an end to end payment testing experience for all payment products, in addition to servicing clients in all regions globally - Asia Pacific, Europe, and Middle East, North America and Latin America.
Job responsibilities
- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Develops secure high-quality production code, and reviews and debugs code written by others
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
- Demonstrates and champions site reliability culture and practices and exerts technical influence throughout your team
- Leads initiatives to improve the reliability and stability of your team's applications and platforms using data-driven analytics to improve service levels
- Assess and document business impacts during incidents and manage escalations to stake holders as needed
- Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge 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 proficient applied experience
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Advanced in one or more programming language(s) (e.g., Java, Python, Bash, and understanding of frameworks - Spring)
- Proficiency in automation and continuous delivery methods
- Proficient in all aspects of the Software Development Life Cycle
- Strong experience in observability such as white and black box monitoring, SLO alerting, and telemetry collection using tools such Geneos, Grafana, Dynatrace, Prometheus, Datadog, Splunk, etc.
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
- Experience with container and container orchestration (e.g., ECS, Kubernetes, Docker, etc.)
- In-depth knowledge of the financial services industry and their IT systems
- Practical cloud native experience
Preferred qualifications, capabilities, and skills
- AWS exposure (understanding and working experience in AWS applications, and understanding of resiliency, scalability, observability, monitoring, etc.)
- Ability to identify and solve problems related to complex data structures and algorithms
- Troubleshoot common networking technologies and issues
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