Senior Lead SRE (DSS)

Theres nothing more exciting than being at the center of a rapidly growing field in technology and applying your skillsets to drive innovation and modernize the worlds most complex and mission-critical systems.

As a Senior Lead Site Reliability Engineer at JPMorgan Chase within the Infrastructure Data Platform you will solve complex and broad business problems with simple and straightforward solutions. Through code and cloud infrastructure you will configure maintain monitor and optimize applications and their associated infrastructure to independently decompose and iteratively improve on existing solutions. You are a significant contributor to your team by sharing your knowledge of end-to-end operations availability reliability and scalability of your application or platform.

Job Responsibilities

• Guides and assists others in the areas of building appropriate level designs and gaining consensus from peers where appropriate supporting adoption of site reliability engineering best practices within your team
• Collaborates with other software engineers and teams to design develop test and implement deployment and reliability approaches using automated continuous integration and continuous delivery pipelines
• Uses enterprise-authorized AI capabilities within the work environment to accelerate incident triage troubleshooting and post-incident analysis validating outputs and handling operational data according to sensitivity and security requirements.
• Implements infrastructure configuration and network as code for the applications and platforms in your remit
• Collaborates with technical experts key stakeholders and team members to resolve complex problems and proactively address issues using service level indicators and objectives before they impact customers
• Applies enterprise-authorized AI capabilities within the work environment to identify patterns in operational signals that indicate reliability risk or recurring toil prioritizing reuse-first improvements tied to SLO outcomes.
• Familiar with availability reliability scalability and solutions in their applications and works with partners to improve these outcomes iteratively
• Proactively recognizes road blocks and identifies improvements to solve business problems including exploring new technologies where appropriate

Required qualifications capabilities and skills

• Formal training or certification on site reliability engineering concepts and advanced applied experience
• Proficient in site reliability culture and principles and familiarity with how to implement site reliability within an application or platform
• Proficient in at least one programming language such as Python Java/Spring Boot
• Working knowledge of using enterprise-authorized AI capabilities within the work environment to support SRE workflows with strong validation habits and awareness of data sensitivity
• Ability to validate AI-assisted operational recommendations before applying changes escalating when uncertain and following data sensitivity requirements while ensuring compliance with risk controls and company-wide standards
• Proficient knowledge of software applications and technical processes within a given technical discipline (e.g. Cloud AI & etc.)
• Hands-on experience supporting cloud and data platforms including AWS (e.g. EC2 Athena) and Snowflake with a reliability-first mindset
• Experience in observability such as white and black box monitoring service level objective alerting and telemetry collection using tools such as Grafana Dynatrace Prometheus Datadog Splunk AppDynamics and others
• Experience with continuous integration and continuous delivery tooling (e.g. Jenkins GitLab Terraform)
• Familiarity with container and container orchestration and troubleshooting common networking technologies and issues (e.g. Docker Kubernetes ECS)
  

Preferred qualifications capabilities and skills

• Strong understanding of release engineering practices GitOps branching strategies and change management discipline
• Experience with incident management on-call operations capacity planning and reliability engineering practices
• Experience authoring pipeline configuration (for example YAML) and infrastructure templates (for example Terraform or ARM)
• Demonstrated ability to assess risk remain calm under pressure and drive clear
• AWS and Azure experience preferred; Oracle Cloud Infrastructure (OCI) exposure is a plus