Maddisoft
Maddisoft has the following immediate opportunity, let us know if you or someone you know would be interested. Send in your resume ASAP. – U.S. Citizens and those authorized to work in the U.S. are encouraged to apply. Send in resume along with LinkedIn profile without which applications will not be considered. Call us NOW! ***Visa sponsorship is available for this position.
Job Title: DevOps Engineer (AWS) Location: Austin, TX -Hybrid Interview: In-person / MS Teams Experience Level
8 years of experience in DevOps, Cloud Engineering, or a related field
Strong background in coordinating development, operations, and testing teams
Experience automating and streamlining integration and deployment processes
Ability to align IT operations closely with business objectives
Job Summary
Design and implement cloud-native solutions on AWS
Enable scalable, secure, and automated application delivery
Build robust CI/CD pipelines and automation frameworks
Drive operational excellence in modern cloud environments
Key Responsibilities
Design and implement cloud-native architectures using AWS services
Build, maintain, and optimize CI/CD pipelines for automated deployments and testing
Develop Infrastructure as Code (IaC) using Terraform and/or AWS CloudFormation
Implement monitoring, logging, and observability solutions to ensure system reliability
Collaborate with development, security, and operations teams to optimize workflows
Enforce DevOps best practices and standards
Drive automation initiatives to reduce manual effort and improve scalability
Support system performance, availability, and resiliency
Required Skills & Qualifications
8 years of strong experience with AWS services, including:
EC2, ECS/EKS, Lambda, S3, RDS, and VPC
8 years of experience with CI/CD tools such as:
Jenkins, GitHub Actions, GitLab CI, AWS CodePipeline
8 years of expertise in Infrastructure as Code using:
Terraform and/or AWS CloudFormation
8 years of hands-on experience with containerization and orchestration:
Docker and Kubernetes
8 years of experience with monitoring and logging tools:
CloudWatch, Prometheus, ELK stack
Strong Linux administration skills
Proficiency in scripting languages such as Python and Bash
Experience using version control systems such as Git
Preferred Qualifications
Experience with observability and visualization tools:
Prometheus, Grafana
Knowledge of performance tuning and high-availability architectures
Experience with serverless and event-driven architectures
Strong collaboration, communication, and problem-solving skills
#J-18808-Ljbffr
Job Title: DevOps Engineer (AWS) Location: Austin, TX -Hybrid Interview: In-person / MS Teams Experience Level
8 years of experience in DevOps, Cloud Engineering, or a related field
Strong background in coordinating development, operations, and testing teams
Experience automating and streamlining integration and deployment processes
Ability to align IT operations closely with business objectives
Job Summary
Design and implement cloud-native solutions on AWS
Enable scalable, secure, and automated application delivery
Build robust CI/CD pipelines and automation frameworks
Drive operational excellence in modern cloud environments
Key Responsibilities
Design and implement cloud-native architectures using AWS services
Build, maintain, and optimize CI/CD pipelines for automated deployments and testing
Develop Infrastructure as Code (IaC) using Terraform and/or AWS CloudFormation
Implement monitoring, logging, and observability solutions to ensure system reliability
Collaborate with development, security, and operations teams to optimize workflows
Enforce DevOps best practices and standards
Drive automation initiatives to reduce manual effort and improve scalability
Support system performance, availability, and resiliency
Required Skills & Qualifications
8 years of strong experience with AWS services, including:
EC2, ECS/EKS, Lambda, S3, RDS, and VPC
8 years of experience with CI/CD tools such as:
Jenkins, GitHub Actions, GitLab CI, AWS CodePipeline
8 years of expertise in Infrastructure as Code using:
Terraform and/or AWS CloudFormation
8 years of hands-on experience with containerization and orchestration:
Docker and Kubernetes
8 years of experience with monitoring and logging tools:
CloudWatch, Prometheus, ELK stack
Strong Linux administration skills
Proficiency in scripting languages such as Python and Bash
Experience using version control systems such as Git
Preferred Qualifications
Experience with observability and visualization tools:
Prometheus, Grafana
Knowledge of performance tuning and high-availability architectures
Experience with serverless and event-driven architectures
Strong collaboration, communication, and problem-solving skills
#J-18808-Ljbffr