Professional Summary
A results-driven DevOps Engineer with 5+ years of experience in optimizing cloud infrastructure, automating CI/CD pipelines, and ensuring seamless software delivery. Proven track record in reducing costs and improving system performance, with expertise in AWS, Kubernetes, and Docker. Committed to leveraging technical skills and leadership abilities to drive innovation and collaboration in dynamic environments.
Key Technical Skills
- Cloud Platforms: AWS, GCP, Azure
- Containerization: Docker, Kubernetes
- CI/CD Tools: Jenkins, GitLab CI, GitHub Actions
- Automation: Terraform, Ansible, Chef
- Scripting: Python, Bash, Ruby
- Monitoring: Prometheus, Grafana, Nagios
- Version Control: Git, SVN
- Agile Tools: Jira, Agile Methodologies
Core Skills
- Expertise in CI/CD pipeline development and automation using Jenkins, GitLab CI, and GitHub Actions.
- Proficient in Infrastructure as Code (IaC) with Terraform and Ansible for consistent environment provisioning.
- Strong knowledge of container orchestration using Kubernetes and Docker for scalable deployments.
- Experienced in scripting languages such as Python, Bash, and Ruby for automating workflows.
- Skilled in cloud platform management, including AWS, Azure, and GCP, for efficient resource utilization.
- Familiarity with monitoring tools like Prometheus, Grafana, and Nagios for real-time system insights.
- Proficiency in version control systems, particularly Git, for collaborative development.
- Strong understanding of agile methodologies and collaboration tools like Jira for streamlined workflows.
- Experience with incident management and problem-solving to ensure high system availability.
CI/CD Tools
- Proficient in Jenkins for automating build, test, and deployment processes, ensuring consistent and reliable software delivery.
- Experienced with GitLab CI/CD for creating and managing pipelines, integrating with version control systems for seamless workflow automation.
- Skilled in GitHub Actions for automating workflows, from code reviews to production deployments, enhancing team collaboration and efficiency.
- Familiarity with AWS CodePipeline for orchestrating CI/CD workflows, enabling continuous delivery of applications across AWS services.
- Knowledge of CircleCI for optimizing pipeline performance and integrating with cloud-native applications for faster feedback loops.
- Experience with Docker Hub and container registry management to streamline image builds and deployments.
Cloud Platforms
- Expertise in Amazon Web Services (AWS), including EC2, S3, Lambda, and Elastic Beanstalk for scalable and secure application deployments.
- Proficient in Google Cloud Platform (GCP) services such as Compute Engine, Kubernetes Engine, and Cloud Storage for modern cloud-native solutions.
- Experienced with Microsoft Azure, leveraging Virtual Machines, Functions, and Blob Storage to build resilient cloud architectures.
- Skilled in cloud infrastructure management, including provisioning, monitoring, and optimization using Terraform and Infrastructure as Code (IaC).
- Strong knowledge of cloud security best practices, cost optimization, and compliance across multi-cloud environments.
- Adept at integrating cloud services with CI/CD pipelines for seamless application delivery and lifecycle management.
Professional Experience
DevOps Engineer with 5+ years of experience managing AWS infrastructure, optimizing CI/CD pipelines, and improving application performance. Reduced cloud costs by 30% and enhanced deployment efficiency through automation.
Reverse Chronological Format
Sr. DevOps Engineer, SiteRx (January 2015 – July 2019)
– Managed end-to-end software deployment processes for 8 teams, ensuring seamless integration and delivery.
– Owned 100% of configuration and release management governance, collaborating with 20+ architects and engineers.
– Spearheaded the implementation of CI/CD pipelines using Jenkins and GitHub Actions, reducing deployment times by 40%.
– Optimized cloud infrastructure on AWS, cutting costs by 25% while improving system performance and scalability.
DevOps Engineer, MARS Solutions Ltd (December 2016 – November 2017)
– Automated repetitive tasks using Puppet and Ansible, deploying critical applications efficiently.
– Managed VMware and AWS cloud environments, ensuring high availability and security.
– Streamlined incident management processes, resolving 95% of issues within SLA timelines.
Sr. Software Engineer, Fair Pattern Inc (April 2015 – December 2016)
– Designed and implemented scalable cloud architectures, improving system uptime to 99.9%.
– Collaborated with development teams to integrate Agile and DevOps practices, enhancing collaboration and productivity.
– Reduced infrastructure costs by 20% through efficient resource utilization and optimization.
Education
Bachelor of Science in Cloud Computing and DevOps Engineering, Kansas State University (2017-2021). Relevant coursework included automation, cloud services, and security.
Degrees
Bachelor of Science in Cloud Computing and DevOps Engineering, Kansas State University, KS (September 2017 ― May 2021). This degree provided a strong foundation in cloud technologies, automation, and DevOps practices. Coursework included Cloud Computing Architectures and Services, Automation and Orchestration, Big Data Analytics, Security and Networking, and DevOps Engineering. The program emphasized hands-on experience with industry-standard tools and platforms, preparing graduates for roles in cloud infrastructure management, CI/CD pipeline development, and system optimization. Additional certifications, such as AWS Certified DevOps Engineer ー Professional (July 2021), further complemented the degree, demonstrating expertise in cloud-based solutions and DevOps methodologies.
Relevant Coursework
Relevant coursework includes studies in Cloud Computing Architectures and Services, Automation and Orchestration, Big Data Analytics, Security and Networking, and DevOps Engineering. Additionally, courses in Containerization (Docker) and Kubernetes, CI/CD Pipelines, and Infrastructure as Code (Terraform) were completed. These courses provided a comprehensive understanding of cloud-based systems, automation tools, and DevOps practices. Practical experience with AWS, Jenkins, and Ansible was also gained, along with exposure to Agile methodologies and version control systems like Git. The curriculum emphasized hands-on learning, ensuring proficiency in designing, deploying, and managing scalable and secure cloud infrastructures. This academic foundation has been instrumental in developing expertise in DevOps engineering and cloud-native solutions.
Certifications
AWS Certified DevOps Engineer ー Professional, Kubernetes Certified Administrator, Docker Certified Associate, and Red Hat Certified Engineer. These certifications demonstrate expertise in cloud computing, containerization, and automation. Additional certifications include AWS Certified Solutions Architect ー Professional and Certified Kubernetes Application Developer. These credentials highlight proficiency in designing and managing cloud-native applications and scalable infrastructures. Obtained through rigorous exams and hands-on experience, these certifications validate technical skills and adherence to industry best practices. They also showcase a commitment to continuous learning and professional growth in the field of DevOps and cloud engineering, making the candidate a well-rounded and qualified professional.
Projects
Spearheaded the deployment of a CI/CD pipeline using Jenkins, Git, and Docker, improving deployment efficiency by 40%. Managed Kubernetes clusters on AWS, ensuring high availability and scalability for cloud-native applications. Designed and implemented automated infrastructure provisioning using Terraform and Ansible, reducing manual errors by 30%. Developed and maintained microservices architecture, enhancing system modularity and maintainability. Optimized cloud infrastructure costs by 25% through effective resource utilization and scaling strategies. Collaborated on a project to integrate AWS services like EC2, S3, and RDS for a scalable e-commerce platform. Implemented automated monitoring and logging solutions using Prometheus and Grafana, improving system visibility and incident response times.
Tools and Technologies
Proficient in a wide range of DevOps tools and technologies, including Jenkins, Docker, Kubernetes, Terraform, Ansible, and AWS. Experienced with cloud platforms such as Azure and GCP. Skilled in scripting with Python and Bash. Strong expertise in CI/CD pipelines, version control systems like Git, and infrastructure automation. Knowledgeable in monitoring tools including Prometheus and Grafana. Experienced with container orchestration using Kubernetes and Helm. Familiar with serverless computing platforms like AWS Lambda. Adept at managing databases and storage solutions such as RDS and S3. Well-versed in agile methodologies and collaboration tools like Jira and Slack. Committed to staying updated with industry trends and emerging technologies to deliver efficient and scalable solutions.
Soft Skills
Strong communicator with excellent collaboration and teamwork skills, bridging development and operations. Proven problem-solving abilities with a focus on delivering efficient solutions. Adaptable and resilient, thriving in fast-paced environments. Natural leader with experience mentoring junior team members. Strong organizational skills, managing multiple priorities effectively. Passion for continuous learning and staying updated with industry trends. Adept at fostering a culture of collaboration, innovation, and shared responsibility. Excellent interpersonal skills, working seamlessly with cross-functional teams. Strong attention to detail, ensuring high-quality outcomes. Committed to driving process improvements and streamlining workflows. Experience in conflict resolution and negotiating priorities to meet organizational goals. Dedicated to fostering transparency, accountability, and open feedback within teams. Passionate about building a collaborative and inclusive work environment that promotes growth and innovation.
Achievements
Spearheaded infrastructure cost reduction initiatives, saving over $1.75M while enhancing system performance. Successfully led the implementation of CI/CD pipelines, reducing deployment times by 40%. Automated 80% of manual tasks, resulting in a 30% reduction in operational errors. Mentored junior engineers, improving team efficiency by 25%. Delivered scalable cloud solutions, ensuring 99.9% uptime for critical applications. Streamlined incident management processes, cutting resolution times by 35%. Played a key role in migrating legacy systems to modern cloud architectures, boosting agility and reliability. Consistently met project deadlines, earning recognition for delivering high-quality outcomes. Improved team collaboration by implementing Agile methodologies, resulting in a 20% increase in productivity. Reduced infrastructure downtime by 50% through proactive monitoring and maintenance. Achieved 100% compliance with security protocols across all deployments. Successfully managed infrastructure for applications serving over 10 million users.
Best Practices
Adhering to industry-leading DevOps practices, ensuring seamless integration of development and operations. Implementing CI/CD pipelines to automate testing, deployment, and delivery. Utilizing infrastructure as code (IaC) for consistent and reproducible environments. Prioritizing automation to minimize manual interventions and reduce errors. Emphasizing monitoring and logging to enable proactive issue resolution. Following version control best practices to maintain code integrity and collaboration. Incorporating security best practices throughout the SDLC to ensure compliance and resilience. Optimizing cloud resources to achieve cost-efficiency and scalability. Documenting processes and architectures for transparency and knowledge sharing. Fostering a culture of continuous improvement and feedback. Collaborating across teams to align goals and deliver high-quality solutions. Ensuring adherence to organizational standards while innovating for better outcomes.