Reliability and Support - Lead Software Engineer

Aumni

Aumni

Software Engineering, Customer Service
Glasgow, UK
Posted on Jul 18, 2024

Job 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 Corporate and Investment Bank, you will play a vital role in ensuring the operational stability, availability, and performance of our production application flows. Your efforts in troubleshooting, maintaining, identifying, escalating, and resolving production service interruptions for all internally and externally developed systems support a seamless user experience and a culture of continuous improvement.


The Payment Testing Technology team serves the Commercial clients of JPMorgan. The 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, our clients move hundreds of billions of dollars. Thus testing of payment flows is critical in ensuring seamless payments 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. We provide services to clients in all regions globally Asia Pacific, Europe and Middle East, North America and Latin America.

Job responsibilities

  • Demonstrates and champions site reliability culture and practices and exerts technical influence throughout your team
  • Assess and document business impacts during incidents and manage escalations to stake holders as needed
  • Develops secure high-quality production code, and reviews and debugs code written by others
  • Leads initiatives to improve the reliability and stability of your team’s applications and platforms using data-driven analytics to improve service levels
  • 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
  • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
  • Documents and shares knowledge within your organization via internal forums and communities of practice
  • 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
  • Working experience in one or more general purpose programming languages (Java, Python, Bash) and understanding of frameworks (Springboot)
  • Proficiency in automation and continuous delivery methods
  • Proficiency and experience in observability such as white and black box monitoring, SLO alerting, and telemetry collection using tools such as Geneos, Grafana, Dynatrace, Prometheus, Datadog, Splunk, etc.
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • 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
  • Troubleshooting common networking technologies and issues
  • Drive to self-educate and evaluate new technology