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Senior SRE
2 months ago
We are partnering with a global tech company in San Jose, CA to build out their SRE teams across various organizations. One of their top priorities is bringing on additional SREs to their Applied Machine Learning team.
Key Qualifications- Expertise in analyzing and troubleshooting Linux-based distributed systems.
- Bachelor's/Master's degree in Computer Science, Computer Engineering, or equivalent experience in SRE or software engineering.
- Proficiency in at least one commonly used language (C, C++, Python, Go).
- Strong understanding of data structures and algorithms, as well as relational database systems.
- Ability to design and maintain large-scale systems, with a focus on code optimization and routine task automation.
- Proficiency in at least one machine learning framework: TensorFlow, PyTorch, MXNet, or PaddlePaddle.
- Designing, building, and maintaining highly available, scalable, and fault-tolerant systems.
- Monitoring and analyzing system performance, identifying and resolving issues before causing user impact.
- Developing and maintaining automated monitoring, alerting, and incident response systems.
- Collaborating closely with software engineering teams to ensure applications are designed with reliability, scalability, and performance in mind.
- Implementing and maintaining security best practices and ensuring compliance with regulatory requirements.
- Participating in on-call rotations and responding to issues and incidents within and outside of normal business hours.
- Conducting root cause analysis of incidents, holding post-mortem reviews with stakeholders, and implementing preventative measures to minimize the risk of similar incidents occurring in the future.
