Lead AWS DevOps Engineer | Remote---Contract To Hire (C2H)-3-6 months
Job Title: Lead AWS DevOps Engineer Location: Remote Job Type: Contract To Hire (C2H)-3-6 months Duration: Long Term Note: Lead AWS DevOps Engineer with Retail or eCommerce experience. Job Description: Primary Responsibilities: · Design, implement, and manage cloud infrastructure and platform services across AWS, Datameer, and Tableau. · Build and maintain CI/CD pipelines for data and analytics applications, ensuring reliable and automated deployments. · Manage infrastructure as code (IaC) using tools such as Terraform or CloudFormation. · Ensure platform reliability through monitoring, alerting, logging, and incident response practices. · Optimize performance, scalability, and cost across cloud environments and analytics platforms. · Implement security best practices, including identity management, data protection, and compliance controls. · Collaborate with data engineering and analytics teams to enable efficient data workflows and platform usage. · Automate operational processes to improve efficiency and reduce manual intervention. · Support environment provisioning, configuration management, and release management processes. · Contribute to platform governance, including access controls, auditability, and operational standards. Basic Qualifications: · Bachelor’s degree in computer science, engineering, or related field with 5+ years of DevOps or platform engineering experience. · Strong experience with AWS services such as EC2, S3, Lambda, RDS, CloudWatch, IAM, and VPC. · Hands-on experience with CI/CD tools such as GitLab CI, Jenkins, or similar. · Experience with infrastructure as code (Terraform, CloudFormation). · Experience managing and supporting analytics platforms such as Airflow, Datameer and Tableau. · Strong knowledge of containerization technologies such as Docker and orchestration tools like Kubernetes. · Experience with scripting languages such as PySpark, Python, Bash, or similar. · Familiarity with monitoring and observability tools (CloudWatch, Prometheus, Grafana, etc.). · Understanding of networking, security, and cloud architecture principles. · Strong troubleshooting and problem-solving skills. · Excellent communication skills with the ability to work cross-functionally. Preferred Qualifications: · Experience with data platform ecosystems and integration with data warehouses like Snowflake or Redshift. · Familiarity with data pipeline orchestration tools such as Apache Airflow. · Experience implementing DevOps practices for BI and analytics tools, especially Tableau. · Knowledge of Datameer platform administration, optimization, and troubleshooting. · Experience with secrets management tools (AWS Secrets Manager, HashiCorp Vault). · Experience implementing security and compliance frameworks in cloud environments. · Familiarity with cost optimization strategies for cloud infrastructure. · Experience working in retail, e-commerce, or consumer-facing environments. · Exposure to AI/ML platform deployment and MLOps practices.