• Design, implement, and own the infrastructure reliability strategy across AWS, Azure, and GCP • Champion observability by developing and maintaining effective logging, monitoring, and alerting systems • Lead efforts in performance tuning, system hardening, capacity planning, and disaster recovery • Own the incident management lifecycle: from detection to postmortem and root cause analysis • Automate deployment, scaling, and recovery workflows to reduce manual toil • Contribute to infrastructure as code (Terraform, ARM templates, CloudFormation, etc.) • Act as a mentor and technical leader to junior engineers and cross-functional partners.

• Design and maintain Kubernetes clusters across multiple environments using Helm, KEDA, and HPA for auto-scaling • Architect and optimize PostgreSQL databases with schema design, migrations via Drizzle ORM, and performance tuning • Build and maintain Docker containerization with multi-stage builds and container optimization strategies • Implement cloud infrastructure solutions on Scaleway and AWS-equivalent services (S3, SQS patterns) • Configure and troubleshoot Linux systems running X11/Xvfb, PulseAudio, FFmpeg, and v4l2loopback for bot operations • Develop CI/CD pipelines using GitHub Actions and container registry workflows • Monitor system performance using Grafana, Promtail, and implement structured logging across services • Collaborate with the technical team to scale meeting bot infrastructure and real-time processing systems

Cloud Data DevOps Engineer If you are passionate about making an impact, utilizing cutting-edge data technology, and eager to learn and grow with talented data & analytics teams, we believe you would be a great fit and help in innovation and solving challenges. What You’ll Do - Design, deploy, and maintain scalable and reliable cloud infrastructure on AWS and GCP. - Build scalability, fault-tolerance, security, and performance into our data platforms to meet our growing data & analytics needs. - Develop cloud data ingestion and processing frameworks. - Automate routine tasks to improve efficiency and reduce manual intervention. - Implement and maintain CI/CD pipelines for data applications. - Optimize data pipelines and processes for performance and scalability. - Troubleshoot and resolve issues related to data pipelines and data processing. - Work with our data engineering teams, data science teams, and analytical business users to review and ensure best practices are followed and high-quality code gets implemented. - Partner with our Information Security, Application Security, and Cloud Infrastructure Services teams to ensure data is secure both at-rest and in-flight. - Ensure data platforms remain current to take advantage of the latest features and support. - Mentor, teach, champion, and encourage an Automation mindset amongst the IT department and other business units. - Communicate the status of assigned work to management and follow agile practices, standard procedures, and policies. - Seek guidance when direction is needed and speak up about technology risks identified. What You’ll Need - Extensive hands-on expertise in Automation, troubleshooting logs, and optimizing system performance. - Deep understanding of Cloud and data security in AWS or Google Cloud. - Good experience with networking, Linux and Unix OS, and shell scripting. - Demonstrated aptitude for identifying the underlying issues in Cloud services such as Glue, Lambda, Big Query, and Cloud Functions. - Good experience with Cloud platforms AWS and/or Google Cloud in supporting Data pipelines and integrations. - Experience with Cloud Automations using CloudFormation or Terraform. - Good understanding of network infrastructures and protocols such as TCP/IP, TLS. - Familiarity with data integration from different sources into Big Data systems is preferable. - Familiarity with SQL and programming languages such as Python, Spark, YAML, and Bash. - Cloud Certification in DevOps in AWS or Google Cloud is a plus. #LI-SJ The starting pay range for this position is: $109,500.00 - $146,200.00Additionally, for full time positions, you will be eligible to participate in our incentive program based upon the achievement of organization, team and personal performance. . Remarkable benefits: • Health coverage for medical, dental, vision • 401(K) saving plans with company match AND Pension • Tuition assistance • Floating holidays and PTO for community volunteer programs • Paid parental leave • Wellness programs • Employee discounts (membership, insurance, travel, entertainment, services and more!) Auto Club Enterprises is the largest club within the national AAA federation. We have nearly 17,000 employees in 24 states helping more than 18 million members. The strength of our organization is our employees. Bringing together and supporting different cultures, backgrounds, personalities, and strengths creates a team capable of delivering legendary, lifetime service to our members. When we embrace our diversity – we win. All of Us! With our national brand recognition, long-standing reputation since 1900, and constantly growing membership, we are seeking career-minded, service-driven professionals to join our team. “Through dedicated employees we proudly deliver legendary service and beneficial products that provide members peace of mind and value.” AAA is an Equal Opportunity Employer Our organization participates in E-Verify The Automobile Club of Southern California will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable federal, state, and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance (FCIHO), the Unincorporated Los Angeles County (ULAC) regulation, and the California Fair Chance Act (CFCA).

• Design, build, and maintain CI/CD pipelines for Python, .NET/C#, and Flutter (Android/iOS) projects using Bitbucket Pipelines and CircleCI • Maintain and improve infrastructure-as-code using Terraform for AWS-native applications • Improve monitoring, alerting, and services reliability using Datadog • Partner with a senior DevOps engineer on ongoing infrastructure optimization for performance, cost, and business continuity plans. • Support Databricks asset bundle (DABs) deployments and contribute to data platform reliability • Bring an AI-native mindset to DevOps workflows, leveraging AI tooling to enhance automation, code quality, and operational efficiency