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.