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Exp : 9+ Years
$35 / hr
Aravindhan A
Docker Developer
Senior DevOps Engineer with exceptional skills in Linux, Cloud, Containers, and Cloud-Native technologies. Proficient in Infrastructure Management, Systems Administration, and DevOps Methodologies.
Key Skills
- Docker
- AWS
- Python
- Kubernetes
- Ansible
- Terraform
- Linux
- Nginx
Aravindhan A
DevOps Engineer
Exp : 9+ Years
$35 / hr
Senior DevOps Engineer with exceptional skills in Linux, Cloud, Containers, and Cloud-Native technologies. Proficient in Infrastructure Management, Systems Administration, and DevOps Methodologies.
Key Skills
- AWS
- Python
- Docker
- Kubernetes
- Ansible
- Terraform
- Linux
- Nginx
- Traefik
Additional Skills
- Sumo logic
- Prometheus
- Grafana
- MySQL
- New Relic
- AlertManager
- PagerDuty
- GitHub
- Spinnaker
- Victoria Metrics
Detailed Experience
- Proficiently managed multiple production Kubernetes clusters, overseeing the operations of over 100 micro-services, including handling upgrades, day-to-day operations, and prompt resolutions for security vulnerabilities and bugs.
- Developed and implemented a comprehensive production readiness checklist, streamlining the on-boarding process for new services across all environments.
- Implemented GitHub OIDC (OpenID Connect) from scratch, bolstering security measures within the infrastructure and enhancing user authentication and authorization.
- Demonstrated expertise in setting up and managing production-grade self-hosted Kafka clusters on Kubernetes, utilizing the Strimzi operator for efficient management. Additionally, managed Spark clusters using Databricks and other in-house data platform components.
- Proactively improved the infrastructure SDLC (Software Development Life Cycle) process by introducing a well-defined PR (Pull Request) review process and enabling AWS resource creation via Atlantis, enhancing efficiency and collaboration.
- Established a robust production monitoring and alerting infrastructure using technologies such as Prometheus, Grafana, and alert-manager, ensuring system stability and quick incident response. Experimented with a log aggregation system using Grafana Loki to facilitate incident investigations within the observability platform.
- Assumed responsibility for handling production outages during on-call rotations and drove the RCA (Root Cause Analysis) process for high-priority incidents. Collaborated closely with respective service owners to implement preventive measures.
- Developed reusable code modules for infrastructure and Kubernetes, utilizing Terraform and Helm, enhancing code efficiency and maintainability.
- Successfully re-architected non-production database workloads, migrating them from AWS RDS to Kubernetes. This strategic move resulted in a significant cost reduction of approximately 80% for RDS.
- Demonstrated a commitment to automation by implementing CI/CD pipelines, automating deployments, and conducting performance tuning for various applications and platforms, contributing to operational efficiency and system reliability.
Exp : 7+ Years
$30 / hr
Varun K
Docker Developer
Seasoned Data Scientist with 7 years of experience in advanced analytics, machine learning, time series forecasting, Python, SQL, and MLOps.
Key Skills
- Docker
- Machine Learning
- NLP
- ML Ops
- Deep Learning
- Data Analysis
- Tableau
Varun K
Machine Learning Engineer
Exp : 7+ Years
$30 / hr
Seasoned Data Scientist with 7 years of experience in advanced analytics, machine learning, time series forecasting, Python, SQL, and MLOps.
Key Skills
- Machine Learning
- R
- Pandas
- SparkR
- Python
- SQL
- MLOps
- Terraform
- Cloud Functions
- Prefect
- Prometheus
- Grafana
- NLP
- Deep Learning
- Dashboarding
Additional Skills
- GITLAB
- Airflow
- MLFlow
- Image Processing
- Backend Development (Python, PostgreSQL, Docker, Git, Flask)
- Linux (Alpine)
- Shell Scripting
- AWS
Detailed Experience
- Proficient in deploying machine learning models into production with monitoring and best practices.
- Skilled in modular coding with Python and MLFlow, automated data processing pipelines using Prefect, and infrastructure management through Terraform.
- Experienced in cloud functions for pipeline automation using Prefect, and performance monitoring with Prometheus and Grafana.
- Knowledgeable in natural language processing (NLP) and deep learning.
- Expertise in data analysis with R, Pandas, SparkR, and dashboarding.
- Familiarity with GITLAB, Airflow, MLFlow, image processing, backend development (Python, PostgreSQL, Docker, Git, Flask), Linux (Alpine), shell scripting, and AWS.
- Troubleshooting, debugging, and refinement of chatbots to meet evolving business and end-user needs.
Exp : 7 Years
$30 / hr
Hemanth
Docker Developer
DevOps Engineer with 7 years of experience with expertise in complete DevOps lifecycle implementation from code checkout to delivery.
Key Skills
- Docker
- DevOps
- AWS
- Jenkins
- CloudWatch
- Nagios
- Grafana
- Kubernetes
Hemanth
DevOps Engineer
Exp : 7 Years
$30 / hr
DevOps Engineer with 7 years of experience with expertise in complete DevOps lifecycle implementation from code checkout to delivery.
Key Skills
- DevOps
- AWS
- Jenkins
- CloudWatch
- Nagios
- Grafana
- Kubernetes
Additional Skills
- Maven
- Docker
- Git
- GitHub
- Ansible
- Terraform
- Linux Red Hat
- Centos
- Ubuntu
- Jira
- Servicenow
Detailed Experience
- Proficiency in Amazon AWS Cloud Administration, covering services like EC2, S3, EBS, VPC, ELB, AMI, SNS, RDS, IAM, Route 53, Auto scaling, Cloud Watch, Cloud Trail, Cloud Formation, and Security Groups.
- Expertise in cluster creation for load balancing and failover environments, ensuring system robustness.
- Utilized Amazon tools such as EC2, RDS, S3 storage, Oracle, GIT, and Jenkins for efficient cloud operations.
- Extensive experience in branching, tagging, and version maintenance across environments using GIT and other Source Code Management (SCM) tools.
- Proficiently managed Jenkins, including installation, configuration, and maintenance for continuous integration (CI) and end-to-end automation of builds and deployments.
- Configured CI/CD pipelines in Jenkins for artifact deployment to QA Environment Servers.
- Implemented Jenkins on a Linux machine, establishing Master and Slave configurations to facilitate parallel builds.
- Leveraged Docker for image creation using Docker files and containerization through Docker-Compose files.
- Utilized Kubernetes for orchestrating deployment, scaling, and management of Docker Containers, encompassing Pods, ReplicaSets, Deployments, and Services.
- Demonstrated effective use of Ansible for provisioning various server components and applications, enhancing automation.
Exp : 5+ Years
$25 / hr
Vinay G
Docker Developer
Techno functional professional with over 5 years of experience in Cloud, Kubernetes & DevOps implementation with containerized solutions.
Key Skills
- Docker
- AWS
- DevOps
- Maven
- Gradle
- Jenkins
- Kubernetes
- IAC
- Prometheus
Vinay G
DevOps Engineer
Exp : 5+ Years
$25 / hr
Techno functional professional with over 5 years of experience in Cloud, Kubernetes & DevOps implementation with containerized solutions.
Key Skills
- AWS
- DevOps
- Maven
- Gradle
- Jenkins
- Docker
- Kubernetes
- IAC
Additional Skills
- Prometheus
- site 24*7
- Grafana
- Shell Script
- GIT
- Git-Hub
- Linux
- Ubuntu
- WIndows
- NFR's Sonar
- Prisma cloud
- Veracode
- MongoDB
Detailed Experience
- Extensive expertise in designing and deploying cost-effective Kubernetes solutions, both self-managed and managed Kubernetes services.
- Proficiently managed Kubernetes nodes, automating shutdowns during weekends and seamless restarts for efficient resource utilization.
- Implemented resource quotas for precise resource management within Kubernetes namespaces.
- Deployed Velero to enhance backup and resource management for data protection and efficient resource allocation.
- Established Kube Watch for real-time Kubernetes resource alerts in Slack, improving monitoring and response.
- Utilized Kubescape for comprehensive scanning of Kubernetes clusters, Yaml files, Helm chart repositories, and container-related code, ensuring security and compliance.
- Leveraged Kube Monkey to promote service resilience by randomly deleting Kubernetes pods, facilitating fault tolerance testing.
- Employed Trivy for scanning container images and repositories, identifying and addressing various security concerns effectively.
- Transitioned ingress Nginx workloads from traditional load balancers to network load balancers, improving scalability and performance.
- Proficiently utilized Helm for streamlined service deployments and Docker as the Kubernetes node container runtime.
- Developed Infrastructure as Code (IAC) scripts for provisioning AWS managed services like EC2, VPC, S3, Elastic Cache, RDS, and more, optimizing infrastructure management.
- Implemented and configured Datadog, Prometheus, Grafana, and Site24x7 for comprehensive monitoring and management of applications, infrastructure, and performance.
- Integrated Prisma Cloud for container image scanning and security analysis in both public and private repositories, ensuring robust security measures.
Exp : 5+ Years
$25 / hr
Pranay D
Docker Developer
5+ years experience as DevOps engineer with expertise in Continuous integration, Build and Deployment and source code management.
Key Skills
- Docker
- Jenkins
- Shell scripting
- Kubernetes
- GitHub
- Maven
- AWS
- Istio
- EC2
- S3
Pranay D
DevOps Engineer
Exp : 5+ Years
$25 / hr
5+ years experience as DevOps engineer with expertise in Continuous integration, Build and Deployment and source code management.
Key Skills
- Jenkins
- Docker
- Shell scripting
- Kubernetes
- GitHub
- Maven
- AWS
Additional Skills
- Istio
- EC2
- VPC
- S3
- EBS
- CLI
- SES
- DataDog
- Prometheus-Grafana
- Terraform
- Linux
Detailed Experience
- Extensive experience in continuous integration, utilizing tools like GitHub, Jenkins, Docker, Shell Scripting, and Kubernetes to streamline software development processes.
- Proficient in source code management with Git, including merging, branching, and tagging, ensuring efficient collaboration and version control.
- Demonstrated expertise in build and deployment procedures, employing build tools such as Maven to maintain a structured development lifecycle.
- Strong grasp of deployment and release best practices, ensuring smooth and efficient software deployments.
- Implemented CI/CD models using Jenkins, creating build jobs, pipelines, and distributed build and deployment environments.
- Configured multiple build jobs, integrated test cases, and performed plugin installations, demonstrating proficiency in continuous integration setup.
- In-depth understanding of Docker architecture, including the Docker client, Docker host, and container registries, with experience in creating custom Docker images.
- Skilled in Amazon Elastic Kubernetes Service (EKS), capable of creating and managing Kubernetes clusters and deploying services in a scalable manner.
- Proficient in creating Storage Classes and Persistent Volume Claims (PVC), enhancing data storage management in Kubernetes environments.
- Experienced in setting up Istio, gateway services, and virtual services, improving the performance and security of microservices architectures.
- Proactively analyzed application logs to identify issues and reported errors to the development team for prompt resolution.
- Collaborated effectively with development and testing teams to troubleshoot and resolve issues, ensuring the stability of testable environments.
- Known for being a valuable team player with exceptional communication and problem-solving skills, and a quick learner who can adapt to new technologies as per business requirements.
- Proficiency in various AWS services, including EC2, VPC, S3, EBS, Security Groups, Auto Scaling, Load Balancer, AWS Private Link, Site-to-Site VPN connection, and SES.
- Configured and managed monitoring tools like DataDog and Prometheus-Grafana to ensure system health and performance.
- Possesses knowledge of Terraform for infrastructure as code, contributing to efficient infrastructure management.
Exp : 5+ Years
$25 / hr
Guru N
Docker Developer
5+ years experience in the IT industry on DevOps DevSecOps, Build and Release engineering, Linux for Enterprise and Cloud products. Proficient in handling multiple projects with strong Technical Leadership, Process, and People Management.
Key Skills
- Docker
- DevOps
- Git/GitHub
- CI/CD
- Linux/Ubuntu
- Release engineering
- Maven
Guru N
DevOps Engineer
Exp : 5+ Years
$25 / hr
5+ years experience in the IT industry on DevOps DevSecOps, Build and Release engineering, Linux for Enterprise and Cloud products. Proficient in handling multiple projects with strong Technical Leadership, Process, and People Management.
Key Skills
- DevOps
- Git/GitHub
- CI/CD
- Linux/Ubuntu
- Release engineering
- Maven
Additional Skills
- Docker/Kubernetes
- Ansible
- AWS
- Sonar/Checkmarx
- JIRA
Detailed Experience
- Proficient DevOps Engineer with experience in GIT, Jenkins, and automation tools.
- Expert in creating Continuous Integration/Continuous Deployment (CI/CD) pipelines integrating GIT, Maven, Docker, and Kubernetes within Jenkins.
- Skilled in Docker, including writing Dockerfiles and deploying multiple images using Docker Compose files.
- Proficient in Shell scripting for automation tasks.
- Established best practices for source code management, including branching and merging strategies.
- Contributed to scanning and security activities, implementing a DevSecOps approach to development.
- Managed microservices-based applications in a Platform as a Service (PAAS) environment.
- Led GitHub management, oversaw branching strategies, and served as the release manager for projects.
- Successfully implemented DevSecOps and DevOps pipelines for multiple projects, covering pipeline development, build and integration, deployment, monitoring, sanity regression testing, and security scanning dashboards.
- Good experience in script automation in a Linux environment and actively contributed to AWS Cloud Migration initiatives, with proficiency in AWS services like EC2, S3, EBS, VPC, RDS, IAM, Route 53, and Auto Scaling.
Exp : 4+ Years
$25 / hr
Atul A
Docker Developer
Machine Learning engineer with 4+ years of experience in ML/AI, NLP, and computer vision.
Key Skills
- Docker
- Machine Learning
- NLP
- ML Ops
- Deep Learning
- Data Analysis
- Tableau
Atul A
Machine Learning Engineer
Exp : 4+ Years
$25 / hr
Machine Learning engineer with 4+ years of experience in ML/AI, NLP, and computer vision.
Key Skills
- Machine Learning
- NLP
- ML Ops
- Deep Learning
- Data Analysis
- Tableau
- Computer Vision
- Python
- PyCaret
- BERT
Additional Skills
- ELK Stack
- Linux
- Docker
- Kubernetes
- Flask
- Fast API
- KServe
- AWS
- Data Structure & Algo
- Postman
- DataDog
- GIT
- MySQL
- EdgeDB
- Gunicorn
- C/C++
Detailed Experience
- Scaling and optimizing existing model deployment architecture, including churning monolith services into micro-services for scalability.
- Deployment of predictive models using machine learning algorithms for data-driven decision-making.
- Collaborating with multi-disciplinary product development teams to identify performance improvement opportunities and integrate trained models.
- Design, implementation, and evaluation of new models and rapid software prototypes for problem-solving in machine learning and systems engineering.
- Implementation of AI-specific modules for the Askify.Video project, including question-answer models, asynchronous server deployment, and voice assistant design.
- Development of multiple facial recognition systems using MXNet and MTCNN.
- Design and implementation of the cloud architecture for ENEROP on GCP, focusing on data pipeline development and backend server handling for the Enterprise Automation System.
- Optimization of existing scripts and designing ML-based architectures for IIOT data automation.
- Design for cloud architecture on GCP for data ingestion, storage, and analysis, including ETL and exploratory data analysis (EDA) for temperature and humidity data.
- Development of a Human-Computer Interaction CHATBOT as part of the MOTOR DRIVER’s Assistance System.
Exp : 4 Years
$25 / hr
Imran
Docker Developer
4 years of Professional Experience on DevOps, DevSecOps, MLOps and SRE involving automation, Build/Release Management, Software Configuration Management, Service, Incident, and Change Management.
Key Skills
- Docker
- Jenkins
- GitLab Ci
- Circle Ci
- Maven
- Ant
- Kubernetes
- Shell scripting
Imran
DevOps Engineer
Exp : 4 Years
$25 / hr
4 years of Professional Experience on DevOps, DevSecOps, MLOps and SRE involving automation, Build/Release Management, Software Configuration Management, Service, Incident, and Change Management.
Key Skills
- Jenkins
- GitLab Ci
- Circle Ci
- Maven
- Ant
- Docker
- Kubernetes
- Shell scripting
- Python
- Groovy
- YAM
- Json
- AWS
- Microsoft Azure k8s
Additional Skills
- Git
- GitHub
- Bit Bucket
- Ansible
- MySQL
- Monodb
- Dynamodb
- Apache Tomcat
- Nagios
- Windows
- Linux
- HP-Unix
- Solaris
- TCP/IP
- DNS
- Jira
- Slack
Detailed Experience
- DevSecOps Expertise:
- Proficient in Networking (TCP/IP, DNS) and mentoring junior SREDevSecOps.
- Ensuring documentation of design tradeoffs, best practices, and lessons learned.
- Proficient in security vulnerability scanning using tools like SonarCube, Blackduck, Zed Attack Proxy, and more.
- Knowledge of DevSecOps tools such as SonarQube, Aqua Security, GitHub Actions, and others.
- In-depth understanding of risk mitigation and familiarity with common attack vectors.
- Knowledge of security standards and guidelines from NIST, CSA, and ISO.
- Site Reliability Engineering:
- Extensive experience using Jenkins for continuous integration and automation.
- Proficient in deploying and managing applications in various environments.
- Strong Ansible and Docker skills for automation and containerization.
- Expertise in CI/CD system design, Jenkins configuration, and Kubernetes usage.
- Proficiency in infrastructure automation using CloudFormation and AWS services.
- Skilled in monitoring and troubleshooting with tools like Nagios.
- Focus on cloud-based solutions and DevOps automation.
- MLOps/Big Data Hadoop:
- Deployed and managed Hadoop on AWS using Cloudera CDH.
- Experience in securing Hadoop clusters with Kerberos and Sentry.
- Expertise in managing Hadoop components and troubleshooting.
- Proficient in data replication, backup, and disaster recovery in Hadoop clusters.
- AWS DevOps Engineering:
- Strong experience with AWS services, IAM, EC2, EBS, VPC, and more.
- Proficient in designing secure VPCs and utilizing Elastic Block Storage.
- Configured EC2 instances for high availability and security.
- Expert in AWS CloudFormation templates for custom deployments.