Jobs at Astreya

Design and implement AI/ML solutions to improve IT managed services (data center, network, digital workplace). Build scalable models for predictive maintenance, anomaly detection, automated incident response, NLP for service desk, and computer vision for asset management. Collaborate with cross-functional and data engineering teams, participate in full SDLC, deploy via CI/CD, ensure compliance, and research emerging AI technologies.

Lead development of data pipelines, statistical models, and machine-learning solutions on cloud platforms. Cleanse, integrate, and analyze large structured and unstructured datasets, produce visualizations and reports, and communicate insights to business and executive stakeholders. Mentor team members, perform QA on data, troubleshoot database issues, and propose data-driven strategies and predictive models.

Lead contract drafting and review for complex technology agreements (SaaS, software licensing, IT services, transportation/warehousing). Mentor and coordinate a geographically dispersed drafting team, maintain contract databases and audit files, track authorizations and deliverables, analyze and mitigate risk, and ensure timely, accurate contract processing per client policies.

Provide L2 advanced support and escalation for enterprise server and network infrastructure. Troubleshoot Dell PowerEdge and Cisco equipment using iDRAC/Redfish and CLI, perform firmware and IOS/NX-OS updates, manage hardware break/fix and vendor coordination, run network health audits, enhance monitoring with SREs, mentor L1 engineers, maintain runbooks and diagrams, participate in post-mortems, and provide 24x7 on-call support for production systems.

Provide advanced L2 support for enterprise server and network infrastructure: troubleshoot Dell PowerEdge and Cisco devices, perform firmware/BIOS updates, manage hardware break/fix, improve monitoring and alerting, mentor L1 engineers, maintain runbooks/diagrams, participate in change management and post-mortems, and provide 24x7 on-call support in a global environment.

The Full Stack Engineer will design and maintain internal tooling, develop and support RESTful APIs and microservices, and work in cloud environments, ensuring performance and reliability.