| POSITION | DevOps Engineer (AWS / GCP Kubernetes Terraform CloudFormation) |
| LOCATION | Tampa FL OR Toledo OH |
| INTERVIEW TYPE | Process: Interview times between 4-6 pm est next week understanding Confirmed feedback following each interview 2 rounds |
| Description & Requirements | Job Summary We are seeking an experienced DevOps Engineer with strong hands on expertise across AWS and Google Cloud Platform (GCP). The ideal candidate will have deep experience supporting containerized environments using Kubernetes building Infrastructure as Code (IaC) with Terraform and CloudFormation and designing reliable scalable CI/CD pipelines. This role will partner closely with engineering security and operations teams to improve platform reliability automation and delivery velocity. |
| Essential Duties and Responsibilities: | Key Responsibilities - Design build and maintain scalable and highly available infrastructure in AWS and GCP
- Deploy manage and troubleshoot Kubernetes clusters (EKS GKE or self managed)
- Implement and manage Infrastructure as Code using Terraform and AWS CloudFormation
- Build and support CI/CD pipelines to automate application build test and deployment processes
- Containerize applications using Docker and manage deployment strategies (rolling blue/green canary)
- Monitor system performance availability and reliability using cloud native and third party monitoring tools
- Collaborate with development teams to improve DevOps practices and cloud architecture
- Implement security best practices including IAM secrets management and policy enforcement
- Troubleshoot production issues and participate in on call or incident response rotations as needed
- Optimize cloud environments for performance cost and scalability
|
| REQUIRED SKILLS | - 7 years of experience in a DevOps SRE or Cloud Engineering role
- Strong hands on experience with AWS and/or GCP
- Proven experience managing Kubernetes in production environments
- Extensive experience with Terraform and CloudFormation (writing maintaining and refactoring IaC)
- Solid experience with CI/CD tools (Jenkins GitHub Actions GitLab CI Azure DevOps etc.)
- Strong knowledge of Linux/Unix systems and networking fundamentals
- Proficiency in scripting (Bash Python or similar)
- Experience with Docker and container orchestration best practices
- Familiarity with logging monitoring and observability tools
Preferred / Nice to Have Skills - Experience with Helm and Kubernetes package management
- Multi account / multi project cloud architecture experience
- Experience with security automation vulnerability scanning or compliance tooling
- Exposure to Site Reliability Engineering (SRE) principles
- Cloud certifications (AWS GCP Kubernetes) are a plus
Soft Skills - Strong collaboration and communication skills
- Comfortable working in fast paced Agile environments
- Ability to troubleshoot complex distributed systems
- Self starter with a focus on automation and continuous improvement
|
POSITION DevOps Engineer (AWS / GCP Kubernetes Terraform CloudFormation) LOCATION Tampa FL OR Toledo OH INTERVIEW TYPE Process: Interview times between 4-6 pm est next week understanding Confirmed feedback following each interview 2 rounds Description & Requirements Job...
| POSITION | DevOps Engineer (AWS / GCP Kubernetes Terraform CloudFormation) |
| LOCATION | Tampa FL OR Toledo OH |
| INTERVIEW TYPE | Process: Interview times between 4-6 pm est next week understanding Confirmed feedback following each interview 2 rounds |
| Description & Requirements | Job Summary We are seeking an experienced DevOps Engineer with strong hands on expertise across AWS and Google Cloud Platform (GCP). The ideal candidate will have deep experience supporting containerized environments using Kubernetes building Infrastructure as Code (IaC) with Terraform and CloudFormation and designing reliable scalable CI/CD pipelines. This role will partner closely with engineering security and operations teams to improve platform reliability automation and delivery velocity. |
| Essential Duties and Responsibilities: | Key Responsibilities - Design build and maintain scalable and highly available infrastructure in AWS and GCP
- Deploy manage and troubleshoot Kubernetes clusters (EKS GKE or self managed)
- Implement and manage Infrastructure as Code using Terraform and AWS CloudFormation
- Build and support CI/CD pipelines to automate application build test and deployment processes
- Containerize applications using Docker and manage deployment strategies (rolling blue/green canary)
- Monitor system performance availability and reliability using cloud native and third party monitoring tools
- Collaborate with development teams to improve DevOps practices and cloud architecture
- Implement security best practices including IAM secrets management and policy enforcement
- Troubleshoot production issues and participate in on call or incident response rotations as needed
- Optimize cloud environments for performance cost and scalability
|
| REQUIRED SKILLS | - 7 years of experience in a DevOps SRE or Cloud Engineering role
- Strong hands on experience with AWS and/or GCP
- Proven experience managing Kubernetes in production environments
- Extensive experience with Terraform and CloudFormation (writing maintaining and refactoring IaC)
- Solid experience with CI/CD tools (Jenkins GitHub Actions GitLab CI Azure DevOps etc.)
- Strong knowledge of Linux/Unix systems and networking fundamentals
- Proficiency in scripting (Bash Python or similar)
- Experience with Docker and container orchestration best practices
- Familiarity with logging monitoring and observability tools
Preferred / Nice to Have Skills - Experience with Helm and Kubernetes package management
- Multi account / multi project cloud architecture experience
- Experience with security automation vulnerability scanning or compliance tooling
- Exposure to Site Reliability Engineering (SRE) principles
- Cloud certifications (AWS GCP Kubernetes) are a plus
Soft Skills - Strong collaboration and communication skills
- Comfortable working in fast paced Agile environments
- Ability to troubleshoot complex distributed systems
- Self starter with a focus on automation and continuous improvement
|
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