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Staff Site Reliability Engineer
1 week ago
leading
B2B SaaS product client
specializing in cutting-edge
data integration solutions
Position Overview:
We are seeking a highly skilled and experienced Staff Site Reliability Engineer to join our team.
As a Staff SRE, you will play a critical role in ensuring the reliability, scalability, and performance of our data integration products.
If you have a proven track record of building and maintaining highly available systems, along with a passion for creating a robust and efficient infrastructure, we want to hear from you
Roles & ResponsibilitiesDesign,develop, implement, and maintain highly scalable and efficient components, systems, and reliable infrastructureLead efforts to improve the end-to-end availability, reliability, efficiency and performance of mission-critical services and systems.
Define and measure service level indicators (SLIs), service level agreements (SLAs), and service level objectives (SLOs).Collaborate with cross-functional teams to define and implement SRE best practices.
Participate in incident response, troubleshooting, and resolution of production issues.Mentor and guide other engineers in adopting SRE principles and best practices.
Contribute to the continuous improvement of our technology stack and deployment processes.
Requirements:
Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).9+ years experience with at least 6 years in a SRE role building , designing and implementing scalable and reliable platform architecturesStrong programming skills in languages such as Java, Python, Ruby Go or similarGood understanding of cloud platforms (e.g., AWS, Azure, GCP) and containerization & orchestration technologies.
Experience with infrastructure as code (Terraform / Ansible) ,automation tools & monitoring tools.Thorough understanding of cloud service delivery (DevOps) infrastructure ecosystem, operational processes, and orchestration models.
Excellent skills in investigating and troubleshooting complicated systems/platforms, and identifying key points of failure.
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