Devops Engineer with 6+ years in Cloud Infrastructure & CI/CD
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Assessing your cultural and operational fit
Senior DevOps and Cloud Infrastructure Engineer with extensive expertise in large-scale cloud automation, infrastructure as code, and high-velocity CI/CD practices. Proven track record optimizing deployments for enterprise systems, reducing operational costs by 30%+, and enabling engineering teams to deploy 500+ times per day across multi-cloud environments. Specialized in container orchestration, observability engineering, and site reliability practices at scale.
Covenant University
Bachelor of Engineering · Mechanical Engineering
August 1, 2013 – June 30, 2019
Duelbits
DevSecOps Engineer
August 1, 2025 – Present
Amsterdam, North Holland, Netherlands
Turing
LLM DevOps Engineer
May 1, 2025 – Present
Palo Alto, California, United States
5R Analysis Ltd
Backend DevOps Engineer
January 1, 2021 – April 1, 2025
Lagos Island, Lagos State, Nigeria
Paygories Limited
Data Infrastructure Engineer
August 1, 2019 – January 1, 2021
Lagos Island, Lagos State, Nigeria
AWS Certified DevOps Engineer - Professional
Unknown
June 19, 2026 – Present
AWS Certified Developer – Associate
Unknown
June 19, 2026 – Present
Certified Kubernetes Administrator (CKA)
Unknown
June 19, 2026 – Present
Data and Business Analytics
Data Science Nigeria
June 19, 2026 – Present
Diploma in Software Engineering
NIIT
June 19, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across different companies and roles (DevSecOps, LLM DevOps, Backend DevOps, Data Infrastructure Engineer) indicates adaptability and a broad skill set. Their involvement in optimizing costs, improving efficiency, and implementing security measures aligns well with a results-oriented culture. The mention of contributing to microservices architecture design and working with various teams suggests a collaborative approach. The LLM DevOps role also shows an interest in emerging technologies.
Soft Skills & Operational Fit
The candidate's resume demonstrates strong problem-solving abilities through quantifiable achievements (e.g., reducing deployment time by 40%, optimizing cloud resources by 35%). Their experience in partnering with cross-functional teams and contributing to microservices architecture design indicates good collaboration and architectural thinking. The focus on SRE practices, disaster recovery, and security suggests a proactive and resilient operational mindset.