JPMorgan Software Engineer III - AWS Kubernetes 

United Kingdom, Scotland 

671229055

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
• 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
• Understand how to define and implement SLAs based on appropriate SLOs and SLIs, in collaboration with business users.
• Lead a culture of operational excellence, focusing on appropriate observability tooling (e.g. monitoring, logging, tracing, alerting).
• Partner with application engineering teams to prioritize reliability focused changes either based around observability tooling or application resiliency.
• Care deeply about blameless Root Cause Analysis/Post Mortems as well as following up to implement required changes
• Building upon your existing understanding of the SRE (Site Reliability Engineering) mindset you will help design tools that meet the needs of this community and Partners with other teams to build integrated solutions that are cohesive and give a great joined up experience to our customers
• Leads the production of architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and proficient of applied experience
• Experience operating, implementing and improving distributed & highly concurrent service-based architectures, including microservices, containerized services, and/or serverless architectures.
• Hands-on experience with container management and orchestration (using tools such as Docker and Kubernetes)
• Proven experience in maintaining scalability and resiliency of a complex environment.
• Proven experience in implementing advanced observability practices and techniques at scale.
• Experience in building out observability to continuously understand the health of systems, using OpenTelemetry and tools such as Grafana, Prometheus, Datadog, Cloudwatch, Splunk, Jaegar Tracing, X-Ray.
• Excellent understanding of managing a production incident, through to Root Cause Analysis/Post Mortem and implementation of RCA outcomes.
• A mindset geared towards a fantastic end-to-end engineering experience supported by excellent tooling and automation and testing.

Preferred qualifications, capabilities, and skills

• Hands-on experience managing platforms/systems on Public Cloud (AWS preferred) using tooling such as Terraform.