Harish Sharma — DevOps Engineer

As a DevOps engineer with over 4.5 years of experience in developing Kubernetes, AWS Cloud, and Python-based systems, I am passionate about leveraging my skills and expertise to streamline software development processes and optimize system operations. My strong technical background, coupled with my proficiency in Python, Docker, git, Linux, Terraform, Grafana, and Kafka, enables me to effectively design, implement, and manage robust and scalable DevOps solutions. Professional Experience: Throughout my career, I have been actively involved in the design, implementation, and management of DevOps solutions for various clients and projects. My experience includes: Kubernetes Development: I have hands-on experience in developing and managing Kubernetes-based systems, including containerization, orchestration, and deployment of applications. I have a deep understanding of Kubernetes concepts, such as pods, services, volumes, and ingress, and have utilized them to design scalable and resilient solutions. AWS Cloud: I have extensive experience in designing, implementing, and managing AWS-based solutions, including EC2 instances, S3 buckets, Lambda functions, and CloudFormation templates. I have worked with various AWS services to build secure, scalable, and highly available applications in the cloud. Python Programming: I am proficient in Python programming language and have utilized it to develop automation scripts, build APIs, and implement integrations with third-party tools. I have a strong understanding of object-oriented programming (OOP) concepts and have used Python to create efficient and maintainable code. DevOps Tooling: I am well-versed in using DevOps tools, such as Docker for containerization, git for version control, Terraform for infrastructure as code (IaC), Grafana for monitoring and observability, and Kafka for event-driven architectures. I have utilized these tools to streamline software development processes, automate deployments, and improve system operations. Professional Skills: DevOps: Kubernetes, AWS Cloud, Python Programming Containerization: Docker, Kubernetes Version Control: git. Infrastructure as Code: Terraform, CloudFormation Monitoring and Observability: Grafana, Prometheus. Messaging and Streaming: Kafka. Scripting: Python, Bash. Operating Systems: Linux. Networking: TCP/IP, DNS.

Stackforce AI infers this person is a DevOps Engineer with expertise in cloud infrastructure and data engineering.

Location: Pune, Maharashtra, India

Experience: 7 yrs