Senior DevOps Engineer

Looking for an independent, innovative, and resourceful software engineer with good problem-solving skills, need to be a quick learner, enjoy working in fast paced product development environment a to develop enterprise software with technical aptitudes that will allow you to adapt to new circumstances and learn quickly when facing new problems and challenges.

Responsibilities

• Transform business or technical requirements into infrastructure specifications.
• Setup, monitor and maintain cloud based SAAS products and solutions involving IoT, big data, microservices, cloud, containers.
• Develop procedures to automate various systems and tasks (e.g. automating code builds and deployments)
• Coverts builds and deployments as code (Configuration as Code, Infra as Code)
• Implement and configure security services to properly harden infrastructure.
• Manage upgrades, patches or configuration changes or platform components.
• Documents build standards, configurations, and operating procedures.
• Explore up-and-coming technologies and software products and provide guidance to how they could be leveraged.
  
  

Qualifications

• 5+ years of experience with performing support and administrative tasks with AWS services like EC2, VPC, Subnets, Lambda, RDS, Monitoring.
• Strong knowledge of AWS networking services.
• 3+ years of experience working with Kubernetes (EKS).
• 2+ years of experience working with Helm.
• 3+ years of experience with Jenkins and version control systems.
• 3+ years of experience with AWS Code Pipeline.
• Extensive experience in infrastructure automation using Terraform and/or CloudFormation.
• Knowledge of Windows and Linux administration.
• Knowledge of .NET, Java, or related server technologies.
• Experience managing RDS instances and knowledge of SQL.
• Knowledge of microservices architectures.
• Knowledge of Traefik, Nginx, or HAProxy is a plus.
• Familiarity with ML frameworks, containerized ML services, and GPU provisioning for large scale model inference
  
  

Skills: containerized ml services,windows administration,version control,cloudformation,aws lambda,nginx,kubernetes,.net,terraform,ml frameworks,cloud,traefik,infrastructure,aws code pipeline,java,cloud formation,ec2,microservices architectures,eks,jenkins,gpu provisioning,traffik,haproxy,amazon rds,linux administration,subnets,amazon vpc,devops,aws,helm,microservices,sql