SF
Principal AI Site Reliability Engineer driving operational excellence for critical contact center applications at Fidelity. Leading automation and observability initiatives to improve reliability and efficiency.
About the role
- Senior DevOps Engineer at Aaxis.io handling Google Cloud Platform infrastructure and Kubernetes clusters with a focus on CI/CD pipelines.
Responsibilities
- Design, deploy, and manage scalable cloud infrastructure on Google Cloud Platform (GCP) to support large-scale digital commerce applications
- Set up, configure, and optimize Google Kubernetes Engine (GKE) clusters for high availability, performance, and security
- Build and maintain secure, automated CI/CD pipelines using industry best practices to support microservices deployments
- Implement infrastructure-as-code (IaC) using tools like Terraform, Pulumi, or Google Cloud Deployment Manager
- Define and enforce security controls, policies, and monitoring strategies to ensure a robust production environment
- Develop observability frameworks including logging, metrics, tracing, and alerting (e.g., Prometheus, Grafana, Stackdriver, ELK)
- Continuously optimize cost, performance, and scalability of cloud environments
- Collaborate closely with architects, developers, and QA engineers to enable AI-augmented DevOps workflows and faster release cycles
- Explore and integrate AI-powered tools for automated infrastructure management, anomaly detection, performance tuning, and CI/CD optimization
- Stay current with emerging cloud technologies, container orchestration, and DevOps tooling.
Requirements
- 7+ years of hands-on experience in DevOps, SRE, or Cloud Infrastructure engineering roles
- Expertise in managing Google Cloud Platform (GCP) resources (Compute Engine, Cloud Run, Cloud Storage, IAM, Pub/Sub, etc.)
- Strong experience with Kubernetes (GKE preferred) for container orchestration and microservices deployments
- Proficiency in CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, ArgoCD, or Spinnaker
- Solid experience with Infrastructure as Code (IaC) using Terraform, Pulumi, or similar tools
- Strong skills in monitoring, logging, and observability using tools like Prometheus, Grafana, Google Cloud Operations Suite (Stackdriver), or ELK stack
- Knowledge of container security best practices, including vulnerability scanning, secrets management, and RBAC
- Scripting skills in Python, Bash, or Go for automation tasks
- Familiarity with service mesh (e.g., Istio) and API gateway patterns is a plus
- A bachelor’s or master’s degree in computer science or related field
Benefits
- Opportunities for professional development and certifications in cloud and emerging technologies
- Flexible work arrangements and a collaborative global team
- Work on cutting-edge digital commerce platforms for global brands
- A culture of innovation with a focus on AI-enhanced engineering practices.
Job title
Job type
Experience level
Salary
Not specified
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