Senior Devops Engineer

At Evolphin, we?re redefining how creative teams search, manage, and collaborate on content. While most companies apply AI to text, we?ve gone further: our platform embeds and indexes actual media files ? video, image, design, and audio ? enabling true semantic search across time-coded content and millions of creative assets. Our flagship platform, Zoom MAM, is trusted by global broadcasters, agencies, and top brands including Inter Milan FC, Merck, Mercedes Benz to power their visual workflows. We are looking for a DevOps Engineer with 6+ years of hands-on experience to build, scale, and optimize the infrastructure that powers our high-performance, media-centric applications. This role is critical in ensuring reliability, security, scalability, and continuous delivery across our platforms. Key Responsibilities

• Design and manage scalable, secure, and highly available AWS infrastructure
• Set up and operate Bedrock, OpenSearch, and DocumentDB for AI-driven and high-volume data workflows
• Manage and optimize Kubernetes clusters (pods, services, autoscaling, networking)
• Build and maintain robust CI/CD pipelines for faster and reliable releases
• Implement Infrastructure as Code (IaC) for automated provisioning and environment consistency
• Monitor system health, performance, and reliability using observability tools
• Optimize cloud costs and resource utilization
• Ensure high availability, backup, and disaster recovery strategies
• Collaborate with Dev, QA, ML, and Product teams to improve deployment efficiency
• Enforce security best practices across infrastructure and pipelines
• Manage deployments on AWS ECS / Fargate and container registries (ECR).
• Maintain environment parity across dev, staging, and production.
• Integrate security scanning tools: SonarQube, Trivy, AWS Security Hub, AWS GuardDuty, and AWS Config.

• 5+ years in DevOps / Cloud Engineering roles
• Strong hands-on experience with the AWS ecosystem ? EC2, S3, ECS, Fargate, ALB, VPC, SQS, RDS, Elasticache, and more.
• Proven experience managing OpenSearch clusters and performance tuning
• Experience with DocumentDB or similar NoSQL databases
• Hands-on experience with AWS Bedrock or ML infrastructure is highly preferred
• Experience managing RunPod or similar GPU-based infrastructure (serverless or cluster-based)
• Strong expertise in Kubernetes (pods, scaling, deployments, networking)
• Experience with CI/CD tools and automation pipelines
• Proficiency in Terraform or CloudFormation
• Strong understanding of Linux, networking, and system design
• Experience with monitoring, logging, and alerting systems
• Scripting knowledge (Bash/Python)

• Experience with AI/ML pipelines and model deployment
• Exposure to media workflows, video processing, or large asset systems
• Knowledge of search optimization and indexing strategies
• Understanding of security compliance (SOC2, ISO, etc.)

• Strong ownership and problem-solving mindset
• Ability to work in a fast-paced, cross-functional environment
• Focus on reliability, scalability, and continuous improvement
• Balance between speed, cost, and system stability