Key skills
PythonPerlShellBashAIAWSTerraformAnsibleCloudFormationEC2LambdaS3CloudWatchGrafanaDynatraceGitLabCI/CD
About this role
Sigmaways Inc is seeking an Integration Engineer to design and implement scalable cloud infrastructure and CI/CD pipelines. The role focuses on establishing automation standards, improving deployment workflows, and ensuring the reliability and performance of cloud-based systems.
Responsibilities:
- Define and enforce standards and best practices for integration and automation solutions
- Lead the development and governance of cloud automation architecture as teams migrate to the cloud
- Architect and implement Infrastructure as Code (IaC) solutions
- Establish and document CI/CD standards and build scalable deployment pipelines
- Collaborate with engineering teams to drive DevOps and automation best practices
- Design, deploy, and support application components and cloud infrastructure
- Automate manual processes through scripting and configuration tools
- Monitor, troubleshoot, and maintain cloud-hosted applications and integrations
- Ensure security compliance and maintain high availability and system performance
- Participate in incident response, root cause analysis and on-call production support
Requirements:
- Bachelor's degree in Computer Science or a related technical field
- At least 7 years of relevant technical or business experience, including 5 years managing complex software driven systems
- Familiarity with automated deployments and DevOps practices
- Proven experience designing and implementing CI/CD pipelines
- Proficiency in common scripting languages such as Shell, Python, Perl, and YAML
- Hands on experience with GitLab pipeline architecture and coding, including integrating Terraform, AWS CLI commands, and Bash scripting
- Ability to develop and maintain Terraform modules for infrastructure provisioning, installation and configuration
- Experience with AWS CLI and services, including S3, EC2, Auto Scaling Groups, ELB, SFTP, CloudFormation, CloudTrail, CloudWatch and Lambda
- AWS certification or practical experience utilizing AWS cloud services
- Experience with Ansible, GitLab, Terraform, CloudWatch, Dynatrace, Grafana, or similar tools
- Practical application of AI-assisted development tools for: Accelerating Terraform module development and Infrastructure-as-Code implementations, Generating and optimizing CI/CD pipeline configurations using GitLab YAML, Creating and refactoring scripts using Python, Bash, Shell, Producing technical documentation, architecture diagrams, and API specifications, Troubleshooting complex integration issues
- Experience with IBM ACE/MQ, MuleSoft and AWS Transfer Family is preferred
- Experience integrating microservices architectures is a plus