Seeking a Senior Staff Engineer with a focus on Site Reliability Engineering and expertise in the automotive domain. This role requires 6-10 years of advanced experience in primary skills critical for SRE functions. The ideal candidate will leverage cloud architecture to enhance system scalability and reliability, utilizing AWS and GCP. A strong understanding of microservices development using Spring Boot and Java is essential.

Further capabilities include Python and JavaScript for scalable applications and data-driven dashboards, alongside familiarity with C, C++, and Ruby. Proficiency in SQL and NoSQL databases for efficient data management, along with hands-on experience with containerization using Docker and orchestration with Terraform, is expected. Experience with monitoring tools like Splunk, Nagios, and Prometheus, and incident response management using PagerDuty, demonstrates a proactive approach focused on automation and continuous improvement.

Drive SRE initiatives to ensure high availability, performance, and scalability of production systems.

Develop and implement robust microservices and APIs using Spring Boot and Java.

Design and build scalable applications and data dashboards with Python and JavaScript.

Manage and deploy cloud-native applications using containerization (Docker) and orchestration (Terraform) tools.

Utilize monitoring tools (Splunk, Nagios, Prometheus) to proactively identify and resolve system performance issues.

Implement effective incident response strategies using PagerDuty, emphasizing automation and continuous improvement.

Minimum of 6 to 10 years of experience in Site Reliability Engineering, with a strong emphasis on the automotive domain.

Advanced proficiency in AWS and GCP cloud architecture, focusing on scalability and reliability.

Expertise in developing microservices and APIs with Spring Boot and Java.

Skilled in Python and JavaScript for application development and dashboard creation.

Familiarity with C, C++, and Ruby.

Strong grasp of SQL and NoSQL databases.

Hands-on experience with Docker containerization and Terraform orchestration.

Experience with monitoring tools such as Splunk, Nagios, and Prometheus, and incident response with PagerDuty.

Master of Technology (M.Tech) in Computer Science/Information Technology and a Bachelor of Engineering (B.E) in Computer Science.

AWS Certified Solutions Architect – Professional and Google Professional Cloud Architect certifications are preferred.