| Location | Scottsdale, AZ |
Job Title: Sr AWS DevOps Automation Engineer
Location: Scottsdale, AZ
Project Duration: 12 months Contract
Job Type: Contract
Work Arrangement: Work from Client Office – 3 days a week
Interview: Three rounds of Video interview
Key Responsibilities
DevOps Strategy & Automation
• Lead the design, implementation, and continuous improvement of DevOps best practices, including Continuous Integration (CI), Continuous Deployment (CD), automated testing, and Test-Driven Development (TDD).
• Design and maintain highly resilient, scalable, secure, and software-defined infrastructure platforms supporting telecom-grade availability and performance requirements.
• Automate operational processes to improve deployment speed, consistency, and platform reliability.
• Drive continuous improvement initiatives across infrastructure, deployments, monitoring, and incident response processes.
CI/CD Pipeline Architecture
• Design and implement end-to-end automated deployment pipelines using GitHub, GitHub Actions, and Microsoft SQL Server (MSSQL).
• Build and manage environment promotion workflows across Development, Staging, and Production environments with minimal to no manual intervention.
• Optimize deployment processes to enable rapid and reliable software releases.
Self-Hosted Runner Management
• Install, configure, and maintain Windows Server-based GitHub Actions self-hosted runners.
• Ensure high availability (99.9% uptime), secure network connectivity, performance monitoring, and operational health checks.
PowerShell Automation & Release Engineering
• Develop and maintain production-grade PowerShell automation scripts for:
Deployment
Backup
Rollback
Health checks
Validation
• Implement robust error handling, transaction management, auditing, and logging capabilities.
Jira, GitHub & Workflow Automation
• Integrate GitHub repositories with Jira to automatically link code branches and deployments to Jira tickets.
• Automate ticket lifecycle management, including status updates throughout the deployment pipeline.
• Enrich Jira tickets with deployment logs, build data, commit hashes, and deployment URLs.
Cloud & Database Technologies
• Design and support cloud-native solutions leveraging AWS, DynamoDB, Amazon Aurora, and Amazon Kinesis.
• Support database deployment automation and governance for enterprise applications.
Observability & Monitoring
• Implement and maintain monitoring, observability, and alerting solutions using Prometheus, Grafana, Kubernetes Monitoring, OpenTelemetry, Splunk, Zabbix, and Dynatrace.
• Proactively monitor production systems and rapidly troubleshoot performance, infrastructure, and deployment issues.
Notifications & Incident Response
• Configure real-time deployment notifications via Slack and email.
• Integrate critical alerts with PagerDuty for rapid incident response and escalation management.
• Participate in on-call support rotations and production incident management.
Security & Governance
• Implement DevOps security best practices, including branch protection policies, environment approval gates, GitHub Secrets management, GPG-signed commits, and role-based access controls.
• Ensure compliance with enterprise security and audit requirements.
Monitoring, Logging & Audit Trail
• Develop deployment auditing mechanisms, including deployment tracking tables within MSSQL.
• Build dashboards and reports to monitor deployment frequency, success rates, failure trends, and operational KPIs.
• Maintain comprehensive documentation for infrastructure, automation solutions, and deployment processes.
Disaster Recovery & Business Continuity
• Design and implement automated backup and rollback strategies, achieving a Recovery Time Objective (RTO) of under 15 minutes, a Recovery Point Objective (RPO) of under 5 minutes, and a 30-day backup retention policy.
• Develop disaster recovery runbooks and automate restoration procedures.
Performance Optimization & Operational Excellence
• Optimize deployment processes to reduce deployment times from approximately 30 minutes to under 5 minutes through automation and parallel execution strategies.
• Improve storage efficiency by implementing incremental backup solutions and reducing backup costs.
• Document operational runbooks, conduct knowledge transfer sessions, and lead continuous improvement reviews.
Required Qualifications
• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related technical field; equivalent industry experience will also be considered.
• 10+ years of hands-on experience in DevOps, Infrastructure Automation, Site Reliability Engineering (SRE), or Platform Engineering.
• Proven expertise designing, implementing, and managing enterprise-scale CI/CD pipelines.
• Strong scripting and automation experience with PowerShell, Python, Bash, and Groovy.
• Experience with configuration management tools such as Ansible, Puppet, or Chef.
• Hands-on experience with GitHub and GitHub Actions, Windows Server administration, Microsoft SQL Server, AWS cloud services, Docker, and Kubernetes.
• Strong knowledge of monitoring, observability, and logging platforms.
• Experience integrating DevOps solutions with Jira, Slack, PagerDuty, and other enterprise collaboration tools.
• Understanding of database deployment automation and release management methodologies.
• Experience supporting highly available production environments with strict uptime requirements.
• Excellent troubleshooting, analytical, and problem-solving skills.
• Strong communication and stakeholder management abilities.
Preferred Qualifications
• Experience within the telecommunications, wireless networks, or network infrastructure domain.
• Exposure to large-scale enterprise deployment and automation frameworks.
• Knowledge of Infrastructure as Code (Terraform, CloudFormation, or similar technologies).
• Familiarity with SRE principles and platform engineering practices.
• Relevant cloud or DevOps certifications (AWS, Kubernetes, Azure, GitHub, HashiCorp Terraform, etc.).
Success Metrics
The successful candidate will help the organization achieve:
• Less than 2% deployment failure rate.
• Automated deployment recovery and rollback capabilities.
• Deployment cycle time reduced to under 5 minutes.
• 99.9% platform and deployment infrastructure availability.
• Fully auditable deployment processes and compliance controls.
• Independent team deployment capability through automation and self-service tooling.