Tek Chand Sharma

DevOps Engineer

New Delhi, Delhi, India2 yrs 8 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

3+ years of experience in DevOps and MLOps.
Expert in AWS, Kubernetes, and CI/CD automation.
Strong focus on cloud automation and infrastructure security.

Stackforce AI infers this person is a Cloud Infrastructure and MLOps Engineer specializing in SaaS solutions.

Contact

Skills

Core Skills

Cloud ComputingDevopsMlops

Other Skills

AWSAmazon web services (EC2 and S3)Artificial Intelligence (AI)BigQueryBinaryCloudContainerizationCryptoCryptocurrencyCryptographyData Structures & AlgorithmsDatabase ManagementDockerELK StackExcel

About

Hi, I'm Tek Chand Sharma, a passionate DevOps & MLOps Engineer based in Delhi, India 🇮🇳. With a background in Computer Science (BCA) and currently pursuing MCA, I specialize in building scalable, automated, and secure cloud infrastructure. ⚙️ I have 3+ years of hands-on experience with tools and technologies like: AWS, Kubernetes, Docker, Terraform CI/CD (Jenkins, GitLab), Git, Linux, Ansible MLOps tools like SageMaker, MLflow, Airflow Strong focus on cloud automation, monitoring, and infrastructure as code 💡 I love learning new technologies, solving real-world problems, and collaborating with like-minded professionals. 🤝 If you're hiring, looking to collaborate, or just want to connect and share ideas — feel free to reach out! 📬 Let's connect: 🔗 https://www.linkedin.com/in/tek-chand-sharma/ 📧 tekchandkumarsharma@gmail.com

Experience

2 yrs 8 mos

Total Experience

1 yr 4 mos

Average Tenure

1 yr 11 mos

Current Experience

Repso live

Cloud DevOps Engineer

Jul 2024 – Present · 1 yr 11 mos · Noida, Uttar Pradesh, India · On-site

Architected and maintained scalable, secure, and highly available cloud infrastructure using AWS and Kubernetes.
Developed CI/CD pipelines with GitHub Actions and GitLab CI to automate application builds, testing, and deployments.
Containerized microservices with Docker and orchestrated them using Helm charts on Kubernetes clusters.
Implemented centralized logging and monitoring with ELK Stack and Prometheus/Grafana for performance and reliability insights.
Ensured compliance and security by integrating IAM policies, VPCs, and automated backups within infrastructure as code (Terraform).

AWSKubernetesGitHub ActionsGitLab CIDockerHelm+6

Theoceann.ai

Cloud DevOps Engineer

Oct 2023 – Jul 2024 · 9 mos · Noida, Uttar Pradesh, India · On-site

Managed AWS infrastructure to ensure high availability, scalability, and performance.
Oversaw CI/CD pipelines in Jenkins and GitLab for smooth deployment and integration.
Deployed machine learning models using AWS SageMaker for efficient model performance.
Collaborated with cross-functional teams for seamless integration and deployment.

AWSJenkinsGitLabSageMakerCloud ComputingMLOps