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raziya sultanaRS
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raziya sultana

@raziyasultana

DevOps Engineer specializing in Kubernetes, AWS EKS, CI/CD, and Terraform IaC to deliver reliable production deployments faster.

India
Message

What I'm looking for

I’m looking for a team that values production-grade Kubernetes on AWS, automated CI/CD with GitOps, and secure IaC—where I can strengthen reliability/observability and continue advancing my CKA and AWS Associate Cloud Engineer certifications.

I’m a DevOps Engineer with 5+ years of experience (3+ years specialising in Kubernetes), delivering production-grade container orchestration, cloud infrastructure automation, and CI/CD pipeline implementations on Amazon EKS. I’ve reduced deployment cycle times by ~40% and cut MTTD by ~50% through centralized Prometheus/Grafana monitoring, while onboarding 10+ services to standardized Jenkins/Argo CD pipelines.

I build scalable, secure platforms using Terraform IaC, DevSecOps (SonarQube, Vault, RBAC), and Kubernetes best practices like HPA, PDB, RBAC, and Network Policies. At Jetto Technologies, I managed production EKS clusters (99.9% uptime), led zero-downtime EKS upgrades, and implemented GitOps rollbacks to reduce manual intervention by ~60%, while pursuing CKA and AWS Associate Cloud Engineer certifications.

Experience

Work history, roles, and key accomplishments

JT
Current

DevOps Engineer

Jetto Technologies

Jan 2022 - Present (4 years 5 months)

Managed production Amazon EKS clusters running 100+ microservices with 99.9% uptime, implemented HPA and PDBs to reduce over-provisioning by ~30%, and delivered zero-downtime EKS upgrades using Helm. Designed CI/CD and GitOps workflows (Jenkins + Argo CD) onboarding 10+ services and reducing release cycles by ~40%, while improving detection time by ~50% using Prometheus/Grafana and AWS CloudWatch/

JT

Junior Technical Engineer

Jetto Technologies

Jan 2021 - Dec 2022 (1 year 11 months)

Built Hadoop ETL pipelines to process large-scale autonomous vehicle sensor data for driverless control systems. Developed real-time ingestion and transformation workflows using Apache Kafka and StreamSets to support high-volume sensor feeds.

Education

Degrees, certifications, and relevant coursework

PE

P.E.S. College of Engineering

Bachelor of Engineering, Computer Science & Engineering

2016 -

B.E. in Computer Science & Engineering at P.E.S. College of Engineering starting in June 2016.

CE

CSMSS Chh. Shahu College of Engineering

Diploma, Computer Science & Engineering

2013 -

Diploma in Computer Science & Engineering at CSMSS Chh. Shahu College of Engineering starting in May 2013.

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