DescriptionTheres 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 Site Reliability Engineer III at JPMorgan Chase within the Corporate Sector Enterprise Technology AI/ML & Data Platforms you will be responsible for addressing intricate business challenges by developing simple effective solutions. Your duties will encompass the design maintenance management and enhancement of applications and their related infrastructure utilizing programming and cloud infrastructure. Additionally you will independently evaluate and refine existing solutions.
Job responsibilities
- Guides and assists others in the areas of building appropriate level designs and gaining consensus from peers where appropriate.
- Collaborates with other software engineers and teams to design and implement deployment approaches using automated continuous integration and continuous delivery pipelines.
- Collaborates with other software engineers and teams to design develop test and implement availability reliability scalability and solutions in their applications.
- 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.
- Understands service level indicators and utilizes service level objectives to proactively resolve issues before they impact customers.
- Supports the adoption of site reliability engineering best practices within your team.
Required qualifications capabilities and skills
- Formal training or certification on software engineering concepts and proficient 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 .
- Proficient knowledge of software applications and technical processes within a given technical discipline (e.g. Cloud artificial intelligence Android etc.).
- 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 and others.
- Experience with continuous integration and continuous delivery tools like Jenkins GitLab or Terraform.
- Familiarity with container and container orchestration such as ECS Kubernetes and Docker.
- Familiarity with troubleshooting common networking technologies and issues.
- Ability to contribute to large and collaborative teams by presenting information in a logical and timely manner with compelling language and limited supervision.
- Ability to proactively recognize road blocks and demonstrates interest in learning technology that facilitates innovation.
- Ability to identify new technologies and relevant solutions to ensure design constraints are met by the software team and initiate and implement ideas to solve business problems.
Preferred qualifications capabilities and skills
- Ability to identify and solve problems related to complex data structures and algorithms.
- Self-motivated and a lifelong learner eager to embrace and master emerging technologies.
- Ability to expand and collaborate across different levels and stakeholder groups.