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Sabeeha B
@sabeehabaqui
AI Developer and Cloud Engineer
Stati Uniti
Inglese
Chi sono
I am a Cloud & DevOps Engineer as well as an AI Developer with 7 years designing, automating, and operating large-scale infrastructure across Azure, GCP, and AWS. I specialize in Kubernetes orchestration, CI/CD automation, and observability.
Competenze
Sabeeha B
offline •
Tempo di risposta medio: 1 ora
Consulta i miei servizi
Applicazioni web full stack
I will build your web app as a solo full stack developer
Portfolio
Esperienza lavorativa
DevOps Engineer
California State University System
Jan 2024 - Present • 2 yrs 4 mos
• Tuned Linux-based production systems, optimizing CPU, memory, and I/O configurations — improved service performance by ~20% under peak load. • Built Python/Go service to auto-scale Kubernetes clusters on custom metrics, reducing manual intervention by 50% and sustaining consistent performance. • Designed multi-region failover strategy with automated testing, achieving <5-minute recovery time and continuous availability. • Built centralized observability platform (ELK, Grafana, Prometheus), reducing MTTR by 60%, eliminating major outages, and sustaining 99.99% uptime. • Integrated security monitoring into ELK/Dynatrace pipelines for configuration drift detection, reducing NIST 800-53 compliance issues by 25%. • Automated secrets management with AWS Secrets Manager across CI/CD pipelines, eliminating 100% of hard-coded credentials and achieving full policy compliance.
Accenture
Full time • 2 yrs 4 mos
Cloud Reliability Engineer
Apr 2022 - Jan 2024 • 1 yr 9 mos
- Built CI/CD pipelines with Jenkins, GitHub Actions, and Bamboo - Reduced deployment time by 30% and boosted release reliability by 20%. - Engineered scalable AWS pipelines with integrated monitoring and alerting, reducing system downtime by 40%. - Developed monitoring and alerting with ELK and Dynatrace, resolving 50+ production issues before customer impact and reducing unplanned downtime.
DevOps & Cloud Engineer
Sep 2021 - Apr 2022 • 7 mos
- Managed 24/7 on-call rotations, triaging 20+ production incidents monthly while maintaining 99.9% uptime. - Mentored 2–3 junior engineers on CI/CD best practices, Kubernetes orchestration, and observability tooling — accelerating ramp-up by 30%. - Resolved Datadog and Prometheus misconfigurations, cutting false-positive alerts by 35% and accelerating incident resolution by 30%.
