Cloud DevOps Engineer with 4+ years in AWS & CI/CD
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Assessing your cultural and operational fit
Results-driven DevOps & Cloud Engineer with 4+ years of IT experience, including 1.5+ years of hands-on DevOps engineering and 2.5 years of automation testing. Proven expertise in designing, deploying, and operating scalable, highly available AWS cloud infrastructure (99.9% uptime). Skilled in Infrastructure as Code (Terraform, CloudFormation), CI/CD pipeline automation, container orchestration (Docker, Kubernetes/ECS), and observability (Datadog, Prometheus, Grafana). Reduced provisioning effort by 70%, release cycles from days to hours, and infrastructure costs by 20-25%. Passionate about cloud-native engineering, reliability, and continuous improvement.
Bhivarabai Sawant Institute of Technology and Research, Pune
Bachelor of Engineering · Computer Engineering
N/A – June 30, 2021
Unizen Technologies Pvt. Ltd.
DevOps Engineer
August 1, 2024 – Present
Pune, Maharashtra, India
Atos Syntel
Associate Consultant - Automation & QA Engineer
October 1, 2021 – July 1, 2024
Pune, Maharashtra, India
Cloud DevOps Engineering Course (CDEC)
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience spans both DevOps engineering and automation/QA, demonstrating versatility and a broad skill set. Their involvement in cloud migration and cost optimization initiatives shows a proactive approach to business value. The diverse technical skills listed (AWS, Azure, GCP, Kubernetes, various databases, scripting languages) indicate a willingness to learn and adapt to different technologies, which is a good cultural fit for dynamic tech environments. The transition from QA to DevOps shows a clear career progression towards infrastructure and operations.
Soft Skills & Operational Fit
The candidate's resume highlights significant achievements in reducing manual effort, improving uptime, and accelerating release cycles, indicating a strong results-driven mindset. Their experience in Agile/Scrum ceremonies suggests good team collaboration and adaptability. The focus on automation and efficiency aligns well with operational excellence in a DevOps environment.