Jobs at Astreya

The Data Analyst II is responsible for data modeling, complex analysis, reporting, and visualizations to enhance operational efficiency and support decision-making.

The role involves managing multiple interconnected projects, resolving technical problems, and improving cloud deployment while communicating effectively with stakeholders.

The AI/ML Engineer III translates business goals into ML metrics, leads ML model development, and oversees deployment and monitoring of AI solutions, driving innovation and collaboration across teams.

The Data Engineer will build and maintain ETL/ELT pipelines, implement automated data quality checks, optimize data storage, and create interactive visualizations. They will manage CI/CD pipelines and deliver production-ready data solutions.

The Data Architect designs and implements data architecture, governance policies, and ensures secure data pipelines while optimizing for cost and performance.

Coordinate and execute end-to-end data-center networking projects, track milestones and risks, manage vendor and stakeholder communications, report metrics/KPIs, and drive process improvements to ensure on-time delivery.

The Network Test Engineer III develops test plans and solutions, performs testing and configuration, and collaborates with vendors to improve product quality.

The Cloud Network Manager III is responsible for managing network capacity, resolving connectivity issues, monitoring usage patterns, and maintaining accurate documentation, while collaborating with the team to ensure optimal service delivery.

The Workday Administrator and Sr Lead will manage Workday operations, configure modules, lead support teams, and ensure compliance through robust security measures. This role involves project management and stakeholder collaboration to align HR systems with organizational goals.

The Business Analyst IV identifies process gaps, conducts data analysis, supports clients in troubleshooting issues, and creates documentation. Responsible for implementing solutions to improve business outcomes through change management and system automation.

Support and maintain global CDN cluster environments and server hardware; coordinate with ISPs, vendors, and colocation facilities to troubleshoot network and server issues, perform root cause analysis, and participate in 24/7 operations and peering strategies.

The AI/ML Engineer II role involves developing AI solutions, managing product backlogs, integrating LLMs, and collaborating on automation projects while leading improvements in IT processes.