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Devops Engineer with 6+ years in Cloud & SRE
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Experienced Staff SRE / DevOps Engineer with 6.4 years of experience, specializing in AI-assisted incident management, site reliability, and CI/CD automation. Proven ability to reduce MTTR, enhance system performance, and ensure infrastructure stability across Kubernetes, Akamai, and AWS environments using a wide array of DevOps tools and cloud services. Committed to driving efficiency and reliability through automation, predictive alerting, and continuous monitoring.
AGNI College Of Technology
B.TECH,IT · Information Technology
August 1, 2019 – June 30, 2019
ZSCALER
Senior STAFF SRE DevOps
November 1, 2024 – Present
Bengaluru, Karnataka, India
LIGHT WONDER
SENIOR DevOPS/SRE ENGINEER
March 1, 2024 – November 1, 2024
Chennai, Tamil Nadu, India
VERIZON
DevOPS/SRE ENGINEER
November 1, 2021 – March 1, 2024
Chennai, Tamil Nadu, India
GAVS
SOFTWARE ENGINEER
March 1, 2020 – November 1, 2021
Chennai, Tamil Nadu, India
Google DevOps Engineer + CKA
Unknown
June 1, 2026 – Present
SRE Practitioner
DevOps Institute
June 1, 2026 – Present
SAFe / PeopleCert Leadership
Unknown
June 1, 2026 – Present
Terraform + AWS DevOps Pro
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience across multiple companies (ZSCALER, LIGHT WONDER, VERIZON) and diverse projects (migration, gaming application CI/CD, AI-assisted SRE) indicates adaptability and a broad skill set. Their certifications in Google DevOps Engineer + CKA, SRE Practitioner, and SAFe/PeopleCert Leadership suggest a commitment to continuous learning and alignment with modern DevOps/SRE methodologies, which generally aligns well with a culture of innovation and reliability.
Soft Skills & Operational Fit
The candidate's resume highlights strong operational skills through their experience in on-call support, incident response, and defining SLIs/SLOs. Their work on improving MTTR and collaborating with developers suggests good teamwork and problem-solving abilities. The focus on AI-driven solutions indicates an innovative and proactive approach to SRE.