Staff Site Reliability Engineer
2 weeks ago
Opportunity with a 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 & Responsibilities :
- Design,develop, implement, and maintain highly scalable and efficient components, systems, and reliable infrastructure.
- Lead 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 architectures.
- Strong programming skills in languages such as Java, Python, Ruby Go or similar.
- Good 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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