At PDI Technologies, we empower some of the world's leading convenience retail and petroleum brands with cutting-edge technology solutions that drive growth and operational efficiency.
By “Connecting Convenience” across the globe, we empower businesses to increase productivity, make more informed decisions, and engage faster with customers through loyalty programs, shopper insights, and unmatched real-time market intelligence via mobile applications, such as GasBuddy. We’re a global team committed to excellence, collaboration, and driving real impact. Explore our opportunities and become part of a company that values diversity, integrity, and growth.
We are looking for a DevOps Engineer II with strong hands-on experience in cloud infrastructure, CI/CD, Infrastructure as Code, automation, and container technologies.
The DevOps Engineer II will be responsible for implementing and supporting DevOps solutions, maintaining CI/CD pipelines, automating infrastructure and operational activities, troubleshooting issues, and supporting application teams across multiple environments.
The ideal candidate should be able to work independently on well-defined requirements, troubleshoot technical issues, and contribute to improving existing DevOps frameworks and standards.
CI/CD:
- Build, maintain, and enhance CI/CD pipelines using Jenkins, GitHub Actions, Azure DevOps, or similar tools.
- Configure pipelines for application build, testing, packaging, and deployment.
- Troubleshoot pipeline and deployment failures.
- Integrate unit testing, code-quality checks, security scanning, and other required quality gates.
- Work with existing shared pipeline libraries, templates, and CI/CD frameworks.
- Identify opportunities to reduce manual deployment activities through automation.
- Support application deployments across development, test, staging, and production environments.
AWS & Cloud Infrastructure:
- Provision and support infrastructure primarily in AWS.
- Work with AWS services such as EC2, ECS, EKS, IAM, VPC, ALB, S3, RDS, Route 53, CloudWatch, and SSM.
- Troubleshoot infrastructure, networking, IAM, DNS, and application connectivity issues.
- Support infrastructure changes across multiple environments.
- Follow established cloud architecture, security, tagging, and operational standards.
Infrastructure as Code:
- Develop and maintain infrastructure using Terraform.
- Modify and enhance existing Terraform modules.
- Create Terraform configurations for new infrastructure requirements.
- Troubleshoot Terraform plan and apply failures.
- Manage environment-specific Terraform configurations.
- Participate in peer reviews of Infrastructure as Code changes.
- Follow established Terraform and IaC standards.
Automation & Configuration Management:
- Develop and maintain Ansible playbooks for server configuration and application deployment.
- Automate operational activities using Ansible, PowerShell, Bash, or Python.
- Identify repetitive manual tasks and automate them.
- Maintain and improve existing automation.
- Troubleshoot automation failures and implement permanent fixes where possible.
Containers & Kubernetes:
- Build and troubleshoot Docker containers.
- Deploy and support applications running on Kubernetes/EKS.
- Work with Kubernetes resources including:
- Pods
- Deployments
- Services
- ConfigMaps
- Secrets
- Ingress
- Persistent storage
- Work with Helm charts for application deployment and configuration.
- Troubleshoot container startup, deployment, networking, configuration, and resource issues.
- Basic experience with ECS/Fargate is beneficial.
Monitoring & Troubleshooting:
- Monitor infrastructure and application health using tools such as Datadog, Grafana, Prometheus, CloudWatch, or similar platforms.
- Troubleshoot infrastructure, CI/CD, deployment, and application environment issues.
- Investigate alerts and operational incidents.
- Participate in root cause analysis.
- Identify recurring issues and recommend automation or permanent fixes.
- Support lower and production environments as required.
- Participate in an on-call rotation where applicable.
Platform & Developer Enablement:
- Support Engineering teams in adopting established DevOps and platform standards.
- Contribute to reusable CI/CD, infrastructure, and automation solutions.
- Help automate common Engineering requests.
- Contribute to developer self-service capabilities.
- Document solutions, troubleshooting procedures, and operational runbooks.
- Share technical knowledge with team members.
- 3–5 years of experience in DevOps, Cloud Engineering, Platform Engineering, SRE, or a related role.
- Hands-on experience with AWS.
- Experience with Terraform and Infrastructure as Code.
- Experience building and troubleshooting CI/CD pipelines.
- Experience with Jenkins, GitHub Actions, Azure DevOps, or equivalent CI/CD platforms.
- Experience with Ansible or similar configuration-management tools.
- Working experience with Docker and Kubernetes.
- Working knowledge of Helm.
- Experience with Git and pull-request-based development workflows.
- Scripting experience using at least one of: PowerShell, Bash and Python.
- Working knowledge of Linux and/or Windows administration.
- Understanding of networking concepts including DNS, TCP/IP, Load balancers, Firewalls/Security Groups, VPCs/Subnets and Routing.
- Ability to independently troubleshoot common infrastructure, CI/CD, and deployment issues.
- Experience with AWS EKS, ECS, or Fargate.
- Experience with GitOps tools such as Argo CD.
- Experience with SonarQube, Trivy, or other security/code-quality tools.
- Experience with observability platforms such as Datadog, Grafana, or Prometheus.
- Experience supporting both Windows and Linux environments.
- AWS, Terraform, Kubernetes, or other relevant certifications are a plus.
- Experience working in an Agile/Scrum environment.
- Strong troubleshooting and problem-solving skills.
- Automation-first mindset.
- Ability to work independently on assigned technical requirements.
- Good understanding of DevOps practices and software delivery processes.
- Ability to collaborate with Engineering, Platform, CloudOps, Security, and other teams.
- Ability to identify recurring problems and contribute to permanent solutions.
- Good written and verbal communication skills.
- Willingness to learn new technologies and continuously improve technical skills.
Level II Expectations
A DevOps Engineer II should be able to:
- Independently complete well-defined DevOps tasks.
- Build and modify CI/CD pipelines using established frameworks.
- Provision and modify AWS infrastructure using Terraform.
- Develop and maintain Ansible automation.
- Deploy and troubleshoot containerized workloads.
- Troubleshoot common infrastructure, CI/CD, and deployment issues.
- Identify repetitive operational activities and automate them.
- Follow established architecture, security, and engineering standards.
- Contribute improvements to existing frameworks and reusable solutions.
- Support and share knowledge with junior team members.
Ensures Accountability
Manages Complexity
Communicates Effectively
Balances Stakeholders
Collaborates Effectively
PDI is committed to offering a well-rounded benefits program, designed to support and care for you, and your family throughout your life and career. This includes a competitive salary, market-competitive benefits, and a quarterly perks program. We encourage a good work-life balance with ample time off [time away] and, where appropriate, hybrid working arrangements. Employees have access to continuous learning, professional certifications, and leadership development opportunities. Our global culture fosters diversity, inclusion, and values authenticity, trust, curiosity, and diversity of thought, ensuring a supportive environment for all.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
