There's 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 world's most complex and mission-critical systems.
As a Site Reliability Engineer III at JPMorgan Chase within the Corporate Technology , youwill 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 creating appropriate design levels and gaining consensus from peers when necessary.
- Collaborates with software engineers and teams to design and implement deployment strategies using automated CI/CD pipelines.
- Works with teams to design, develop, test, and implement solutions for availability, reliability, and scalability in applications.
- Implements infrastructure, configuration, and network as code for assigned applications and platforms.
- Collaborates with technical experts, stakeholders, and team members to resolve complex problems.
- Understands service level indicators and uses service level objectives to proactively address issues before they affect customers.
- Supports the adoption of site reliability engineering best practices within the team.
- Formal training or certification in software engineering concepts with 3+ years of applied experience.
- Proficient in site reliability culture and principles, and familiar with implementing site reliability in applications or platforms.
- Skilled in at least one programming language, such as Python, Java/Spring Boot, or .NET.
- Strong knowledge of software applications and technical processes within a specific technical discipline (e.g., Cloud, AI, Android).
- Experienced in observability, including monitoring, alerting, and telemetry collection using tools like Grafana, Dynatrace, Prometheus, Datadog, and Splunk.
- Experienced with CI/CD tools like Jenkins, GitLab, or Terraform.
- Familiar with container technologies and orchestration, such as ECS, Kubernetes, and Docker.
- Familiar with troubleshooting common networking technologies and issues.
- Capable of contributing to large, collaborative teams by presenting information logically and effectively with minimal supervision.
- Proactively recognizes roadblocks and shows interest in learning technologies that facilitate innovation.
- Identifies new technologies and solutions to ensure design constraints are met by the software team.
Preferred qualifications, capabilities, and skills
- Good knowledge on cloud technology
