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Senior Cloud & DevOps Engineer 21379 Charlotte,  3/31/2026 11:26:00 AM

Engineering
FTE - IntraEdge

Job Description

Role Overview

We are seeking a highly skilled Senior Cloud & DevOps Engineer with 14+ years of IT experience, including 7+ years of deep AWS expertise, to design, build, and operate secure, scalable, and highly available cloud platforms.

This role will focus on Kubernetes (EKS)-based platform engineering, Infrastructure as Code (Terraform), CI/CD automation, cloud security, and observability, enabling reliable and efficient delivery of enterprise applications.

The ideal candidate brings strong experience in production-grade cloud environments, DevOps practices, and platform reliability engineering, with a proven track record of improving deployment efficiency, reducing MTTR, and optimizing cloud costs.

Key Responsibilities

Cloud Architecture & Platform Engineering

  • Design, implement, and manage large-scale AWS cloud platforms
  • Architect and operate Kubernetes (EKS) environments for production workloads
  • Ensure high availability, scalability, and fault tolerance across environments
  • Design multi-region and multi-account architectures aligned with best practice

Infrastructure as Code (IaC)

  • Develop and maintain Infrastructure as Code using Terraform and CloudFormation
  • Standardize and automate infrastructure provisioning across environments
  • Implement reusable modules and enforce infrastructure governance

 DevOps & CI/CD Enablement

  • Design and implement CI/CD pipelines using GitLab CI and Jenkins
  • Automate build, test, and deployment processes for microservices and containerized applications
  • Enable secure multi-stage deployments (dev, test, staging, production)

Containerization & Orchestration

  • Build and manage containerized environments using Docker, Kubernetes (EKS), OpenShift, ECS
  • Optimize cluster performance, scaling, and resource utilization
  • Implement container security best practices

Observability & Reliability Engineering

  • Implement and manage monitoring, logging, and tracing solutionsusing:
    • Splunk, Dynatrace
    • Prometheus, Grafana
    • AWS CloudWatch, X-Ray
  • Improve system reliability, performance, and availability
  • Reduce MTTR through proactive monitoring and incident response

Cloud Security & Compliance

  • Implement security best practicesacross cloud environments:
    • IAM, VPC, Security Groups, NACLs
    • WAF, TLS/SSL, encryption
  • Integrate security tools and scans (Qualys, SonarQube, Prisma)
  • Ensure compliance with enterprise security and regulatory standards

Data & Integration Services

  • Work with AWS data services including:
    • S3, RDS, DynamoDB, EFS, Glacier
    • Streaming services (MSK, Kinesis, SNS, SQS)
  • Support integration with enterprise databases (Oracle, DB2, PostgreSQL, Snowflake)

Automation & Scripting

  • Develop automation scripts using Python, Bash, YAML
  • Automate infrastructure, deployments, and operational processes

Collaboration & ITSM

  • Collaborate with cross-functional teams (Developers, Architects, Security, QA)
  • Manage incidents, problems, and changes using ServiceNow (ITIL framework)
  • Participate in Agile processes and DevOps culture adoption

Required Qualifications

Experience

  • 14+ years of experience in Cloud, DevOps, and Infrastructure Engineering
  • 7+ years of hands-on experience with AWS cloud platforms
  • Proven experience managing production-grade Kubernetes (EKS) environments 
  • Experience working with cloud automation and deployment tools (CloudFormation, Ansible, Terraform). 
  • Experience with containerization (Docker, Kubernetes, AWS EKS, AWS ECS, Fargate).
  • Experience with Git and version control workflows.
  • Knowledge of CI/CD tools (Jenkins, GitHub Actions, GitLab).
  • Scripting ability in Bash, Python, or similar languages.
  • Strong experience in SQL, data modeling and performance tuning within Snowflake.

Preferred Qualifications

  • Experience with AI, GenAI and ML workflows.
  • AWS and HashiCorp Terraform certifications are preferrable.
  • Knowledge of data integration solutions using Glue, Lambda and other AWS services.

 

Job Requirements

Role Overview

We are seeking a highly skilled Senior Cloud & DevOps Engineer with 14+ years of IT experience, including 7+ years of deep AWS expertise, to design, build, and operate secure, scalable, and highly available cloud platforms.

This role will focus on Kubernetes (EKS)-based platform engineering, Infrastructure as Code (Terraform), CI/CD automation, cloud security, and observability, enabling reliable and efficient delivery of enterprise applications.

The ideal candidate brings strong experience in production-grade cloud environments, DevOps practices, and platform reliability engineering, with a proven track record of improving deployment efficiency, reducing MTTR, and optimizing cloud costs.

Key Responsibilities

Cloud Architecture & Platform Engineering

  • Design, implement, and manage large-scale AWS cloud platforms
  • Architect and operate Kubernetes (EKS) environments for production workloads
  • Ensure high availability, scalability, and fault tolerance across environments
  • Design multi-region and multi-account architectures aligned with best practice

Infrastructure as Code (IaC)

  • Develop and maintain Infrastructure as Code using Terraform and CloudFormation
  • Standardize and automate infrastructure provisioning across environments
  • Implement reusable modules and enforce infrastructure governance

 DevOps & CI/CD Enablement

  • Design and implement CI/CD pipelines using GitLab CI and Jenkins
  • Automate build, test, and deployment processes for microservices and containerized applications
  • Enable secure multi-stage deployments (dev, test, staging, production)

Containerization & Orchestration

  • Build and manage containerized environments using Docker, Kubernetes (EKS), OpenShift, ECS
  • Optimize cluster performance, scaling, and resource utilization
  • Implement container security best practices

Observability & Reliability Engineering

  • Implement and manage monitoring, logging, and tracing solutionsusing:
    • Splunk, Dynatrace
    • Prometheus, Grafana
    • AWS CloudWatch, X-Ray
  • Improve system reliability, performance, and availability
  • Reduce MTTR through proactive monitoring and incident response

Cloud Security & Compliance

  • Implement security best practicesacross cloud environments:
    • IAM, VPC, Security Groups, NACLs
    • WAF, TLS/SSL, encryption
  • Integrate security tools and scans (Qualys, SonarQube, Prisma)
  • Ensure compliance with enterprise security and regulatory standards

Data & Integration Services

  • Work with AWS data services including:
    • S3, RDS, DynamoDB, EFS, Glacier
    • Streaming services (MSK, Kinesis, SNS, SQS)
  • Support integration with enterprise databases (Oracle, DB2, PostgreSQL, Snowflake)

Automation & Scripting

  • Develop automation scripts using Python, Bash, YAML
  • Automate infrastructure, deployments, and operational processes

Collaboration & ITSM

  • Collaborate with cross-functional teams (Developers, Architects, Security, QA)
  • Manage incidents, problems, and changes using ServiceNow (ITIL framework)
  • Participate in Agile processes and DevOps culture adoption

Required Qualifications

Experience

  • 14+ years of experience in Cloud, DevOps, and Infrastructure Engineering
  • 7+ years of hands-on experience with AWS cloud platforms
  • Proven experience managing production-grade Kubernetes (EKS) environments 
  • Experience working with cloud automation and deployment tools (CloudFormation, Ansible, Terraform). 
  • Experience with containerization (Docker, Kubernetes, AWS EKS, AWS ECS, Fargate).
  • Experience with Git and version control workflows.
  • Knowledge of CI/CD tools (Jenkins, GitHub Actions, GitLab).
  • Scripting ability in Bash, Python, or similar languages.
  • Strong experience in SQL, data modeling and performance tuning within Snowflake.

Preferred Qualifications

  • Experience with AI, GenAI and ML workflows.
  • AWS and HashiCorp Terraform certifications are preferrable.
  • Knowledge of data integration solutions using Glue, Lambda and other AWS services.