Senior Site Reliability Engineer – Data-Centric Engineering

This is a fully remote position, open to applicants in India.

📋 Description

• Create mathematical, statistical, and machine learning models to assess global traffic patterns, forecast latency issues, and enhance routing efficiency.

• Develop, monitor, and improve data-driven SLIs/SLOs through exploratory data analysis.

• Construct and implement automated data pipelines, predictive models, and tailored diagnostic algorithms.

• Collaborate with product engineers to advocate for scalable, resilient, and highly maintainable system architectures.

• Deliver data-driven insights to inform executive-level decisions and guide technology investments.

• Perform quantitative analyses and forensic telemetry investigations of intricate outages and performance issues.

• Guarantee the operation and availability of computing services and infrastructure.

• Oversee and sustain critical infrastructure.

• Work with cross-functional teams to develop tools and software that enhance system reliability.

• Utilize various technologies while launching new applications and modernizing existing tools.

⛳️ Requirements

• Master’s or PhD in Data Science, Statistics, Computer Science, Machine Learning, or another highly quantitative analytical discipline.

• Over 5 years of experience in applying data science, predictive modeling, or quantitative research to large-scale distributed systems or technical environments.

• In-depth understanding of Unix/Linux internals, computer networking protocols, and distributed system architecture.

• Professional proficiency in working within a command-line UNIX/Linux computing environment.

• Expertise in statistical analysis, machine learning algorithms, time-series forecasting, and advanced SQL/NoSQL big data querying.

• Demonstrated ability to convert complex datasets into actionable strategic plans.

• Practical experience with enterprise observability, logging, and alerting systems such as Grafana.

• High proficiency in data science languages and frameworks, including Python, R, Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.

• Self-driven communicator adept at explaining complex systems to non-technical stakeholders while managing multiple timelines.

🏝️ Benefits

• Comprehensive health, well-being, and financial benefits.

• FlexBase flexible work arrangements: the option to work from home, in an office, or a combination of both.