DevOps Engineer, Arine

• Arine is seeking a highly motivated and technically strong DevOps Engineer to help build, automate, and scale our cloud infrastructure and delivery pipelines
• 3-5 years of experience in DevOps, Cloud Engineering, or Site Reliability Engineering (SRE)
• Strong hands-on experience with Amazon Web Services (AWS)
• Solid expertise in CI/CD pipeline implementation (GitHub Actions, Jenkins, AWS CodePipeline, etc.)
• Proficiency in Infrastructure as Code (Terraform, CloudFormation, or similar)
• Experience with Docker and container orchestration (EKS, ECS, or Kubernetes)
• Strong experience in scripting (bash, Python)
• Working knowledge of Linux, networking concepts, and shell scripting
• Experience with industry-standard monitoring and logging platforms
• Familiarity with AI-driven operations (AIOps) tools or intelligent observability platforms
• Automation-First Thinker: You believe everything that can be automated (infrastructure, deployments, testing, and recovery) should be automated
• Cloud Architect in the Making: You consistently consider scalability, cost, reliability, and performance when designing infrastructure
• AI-Curious Engineer: You are excited about using AI to improve monitoring, reduce downtime, and speed up DevOps workflows
• Ownership-Driven: You take responsibility for the health, security, and reliability of the systems you build
• Strong Communicator: You effectively translate technical challenges into clear solutions when working with developers, QA, and leadership

Desirable

• This role will focus on AWS, CI/CD, and Infrastructure as Code, while also leveraging AI-driven tooling to improve reliability, security, and delivery speed
• You will work closely with Engineering, QA, and Security teams to ensure fast, safe, and scalable software delivery
• CI/CD Engineering: Design, build, and maintain automated CI/CD pipelines (e.g., GitHub Actions, Jenkins) to enable fast, secure, and reliable deployments
• Cloud Infrastructure on AWS: Provision, manage, and optimize core AWS services (EC2, ECS, S3, RDS, Lambda, VPC, IAM) to support scalable, highly available applications
• Infrastructure as Code (IaC): Implement and maintain IaC frameworks (Terraform, CloudFormation, or similar) to ensure infrastructure is version-controlled, repeatable, and auditable
• AI-Enabled DevOps: Leverage AI and automation for log/metric anomaly detection, predictive alerting, AI-assisted troubleshooting, and intelligent CI/CD optimizations
• Observability & Reliability: Build and maintain robust monitoring, logging, and alerting systems (CloudWatch, Datadog, ELK, etc.) to ensure platform stability and rapid issue detection
• Security & Compliance: Implement DevSecOps best practices, including secrets management, IAM policies, vulnerability scanning, and automated compliance checks
• Collaboration & Enablement: Partner with development, QA, and product teams to ensure smooth releases, infrastructure reliability, and continuous improvement across the SDLC