Site Reliability Engineer III- Kafka Platform Engineering

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 Infrastructure Platforms, 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.
• Demonstrate deep knowledge of Kafka technology, Kafka connect framework, and distributed systems technologies, with the ability to operate in and migrate across public and private clouds.
• 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.
• Contribute to the development of technical documentation, including service APIs using Swagger, ensuring robust logging, auditability, security, and monitoring features.
• Supports the adoption of site reliability engineering best practices within your team.

• Engage in periodic on-call rotation shifts, providing client support and ensuring thorough monitoring of the platform.

   

Required qualifications, capabilities, and skills

• Formal training or certification on computer science and reliability concepts and 3 years 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 Java/Spring Boot, python.
• 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, etc.
• Experience with public cloud platforms like AWS, GCP or Azure.
• Experience with Kafka ecosystem products: Kafka, Kafka Connect, Kafka Streams.
• 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

• Ability to initiate and implement ideas to solve business problems.

   

•   Familiarity with running Apache Flink.
•   Understanding of authentication and authorization technologies (e.g., OAUTH, Kerberos).
•   Experience with  AWS cloud services and Kubernetes platform orchestration.