Full-Time Senior Site Reliability Engineer ML Platforms

• Designing, building, and maintaining services that enable real-time data analytics, streaming, data lakes, observability and ML/AI training and inferencing.
• Implementing software and systems engineering practices to ensure high efficiency and availability of the platform.
• Applying SRE principles to improve production systems and optimize service SLOs.
• Collaboration with our customers to plan implement changes to the existing system, while monitoring capacity, latency, and performance.

• Develop software solutions to ensure reliability and operability of large-scale systems supporting machine-critical use cases.
• Create tools and automation to reduce operational overhead and eliminate manual tasks.
• Establish frameworks, processes, and standard methodologies to enhance operational maturity, team efficiency, and accelerate innovation.
• Define meaningful and actionable reliability metrics to track and improve system and service reliability.
• Oversee capacity and performance management to facilitate infrastructure scaling across public and private clouds globally.
• Build tools to improve our service observability for faster issue resolution.

• Minimum of 10 years of experience in SRE, Cloud platforms, or DevOps with large-scale microservices in production environments.
• Master's or Bachelor's degree in Computer Science or Electrical Engineering or CE or equivalent experience.
• Strong understanding of SRE principles, including error budgets, SLOs, and SLAs.
• Proficiency in incident, change, and problem management processes.
• Experience with streaming data infrastructure services, such as Kafka and Spark.
• Expertise in building and operating large-scale observability platforms for monitoring and logging (e.g., ELK, Prometheus).
• Proficiency in programming languages such as Python, Go, Perl, or Ruby.
• Hands-on experience with scaling distributed systems in public, private, or hybrid cloud environments.

• Experience operating large-scale distributed systems with strong SLAs.
• Excellent coding skills in Python and Go and extensive experience in operating data platforms.
• Knowledge of CI/CD systems, such as Jenkins and GitHub Actions.
• Familiarity with Infrastructure as Code (IaC) methodologies and tools.

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