Sushmith Rakasi
Alpharetta,GA
Summary
Organized and dependable candidate successful at managing multiple priorities with a positive attitude. Willingness to take on added responsibilities to meet team goals. Pursuing full-time role that presents professional challenges and leverages interpersonal skills, effective time management, and problem-solving expertise.
Overview
5
5
years of professional experience
Work History
DevOps/ SRE
LVT Labs
11.2023 - Current
- Developed Infrastructure as Code (IaC) solutions using Terraform and Python to manage Azure Kubernetes Service (AKS) infrastructure, streamlining cloud operations and accelerating deployment processes
- Led lifecycle management of Kubernetes clusters, implementing best practices, upgrades, and security policies in collaboration with internal IT teams such as Risk, Security, and Compliance, enhancing security and system resilience
- Documented architectural patterns and best practices for Kubernetes environments, ensuring clear guidelines for deployment, management, and troubleshooting
- Implemented observability solutions on Kubernetes clusters using tools like Grafana and Dynatrace, developing monitoring and alerting mechanisms to optimize performance and ensure high availability
- Tuned Kubernetes performance and managed networking configurations for Kubernetes, ensuring seamless integration with internal networking systems and optimizing resource usage
- Troubleshot Kubernetes-related issues, including networking, resource deployment, and CI/CD pipeline challenges, reducing resolution time and improving system reliability
- Collaborated with internal application teams to onboard applications onto Kubernetes clusters, ensuring smooth deployment and integration into cloud infrastructure
- Provided 24/7 on-call support for business-critical applications and systems, maintaining high availability and performance in production environments
- Automated system tasks and infrastructure management using Python and Terraform, reducing manual intervention and improving operational efficiency
- Managed production Kubernetes infrastructure, leveraging GitHub Actions and ArgoCD for CI/CD automation, ensuring seamless code deployments and infrastructure updates.
Software engineer
Kairos Magus
11.2019 - 08.2020
- Provided technical leadership in operationalizing AWS cloud infrastructure, optimizing the setup for over 20 microservices in a hybrid cloud environment
- Acted as a developer advocate for cloud capabilities, collaborating with diverse teams to design and implement easy-to-use hybrid cloud environments
- Implemented and maintained a CI/CD pipeline for automated deployment and updates to critical infrastructure and applications, increasing deployment efficiency by 40%
- Collected telemetry data and built detailed dashboards and alerts, resulting in improved visibility and a 25% reduction in incident response times
- Implemented AWS security best practices, enhancing compliance and reducing potential vulnerabilities by 50%
- Collaborated closely with software engineers to optimize application reliability and performance within AWS, leading to a 15% increase in system stability
- Configured and maintained IIS, SQL, and Nginx to support scalable and secure deployments across hybrid environments.
Education
Master of Science in Cloud Computing -
Campbellsville University
Louisville, KY10.2023
Bachelor of Technology in Computer Science -
JNTUH
Hyderabad, India11.2020
Skills
- Amazon Web Services (AWS) - EC2, S3, Lambda, RDS, CloudFormation, Fargate
- Kubernetes - Orchestration, Clustering, Helm
- Docker - Containerization, Image Management
- Terraform - Infrastructure as Code (IaC), AWS resource provisioning
- CI/CD Pipelines - Jenkins, GitLab CI, Azure DevOps, CircleCI
- Monitoring & Logging - Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana)
- Serverless Frameworks - AWS Lambda, API Gateway
- Automation & Scripting - Python, Bash, Ansible
- Version Control - Git, GitHub, Bitbucket
- Agile & Scrum Methodologies - Jira, Confluence
Publications
Automating Infrastructure Deployments, Campbellsville University, 05/2023, Conducted a comprehensive study on applying Infrastructure as Code (IaC) and Continuous Integration/Continuous Deployment (CI/CD) methodologies to automate cloud infrastructure deployment., Implemented and analyzed Terraform scripts to manage infrastructure provisioning across AWS and Azure, ensuring consistency and scalability in deployment processes., Developed CI/CD pipelines using Jenkins to automate multiple cloud-based applications' build, test, and deployment stages, significantly reducing manual intervention and deployment times., Evaluated the impact of automation on deployment efficiency, error reduction, and system reliability, providing actionable insights for DevOps practitioners and organizations aiming to optimize their cloud operations.
Projects
Cloud-Native Microservices Deployment, Managed Kubernetes infrastructure AKS, ensuring smooth operations and workload consolidation for optimized resource utilization and scalability., Perfected deployment processes, mitigated time-to-market, and advanced overall system reliability, achieving a 15% cost resourcefulness in deployment operations. Infrastructure as Code (IaC) Automation, Streamlined infrastructure provisioning and configuration management by implementing Terraform and Ansible, resulting in a 40% contraction in deployment time and ensuring consistent and reproducible environments., Fulfilled infrastructure consistency, diminished manual errors, and augmented system security. CI/CD Pipeline Optimization for Containerized Applications, Automated comprehensive testing processes, including unit tests, integration tests, and security scans, certifying top-notch code quality and leading to a remarkable 25% drop in issues that occur post-deployment., Accomplished a 20% cost-effectiveness in the deployment lifecycle, improving resource utilization and minimizing operational expenses.
Timeline
DevOps/ SRE
LVT Labs
11.2023 - Current
Software engineer
Kairos Magus
11.2019 - 08.2020
Master of Science in Cloud Computing -
Campbellsville University
Bachelor of Technology in Computer Science -
JNTUH