Senior Software Engineer, DevSecOps

• Design, automate, and scale cloud infrastructure for web applications and ML pipelines
• Manage and improve CI/CD pipelines for application deployments and ML workloads
• Implement DevSecOps practices, including security scans, IAM policies, and compliance automation
• Build monitoring, logging, and alerting systems for high availability and performance
• Optimize workloads for cost, reliability, and scalability across API services, web applications, and ML model serving
• Handle on-call issues across infrastructure, deployments, and ML pipelines
• Drive best practices in infrastructure security, cost governance, and reliability engineering
• Mentor junior DevSecMLOps engineers
• Collaborate with ML, development, and product teams

• 4+ years of experience across DevOps, MLOps, and Security practices
• Strong expertise with AWS and Kubernetes/Docker
• Hands-on experience with CI/CD pipelines and Infrastructure as Code (Terraform/CloudFormation)
• Deep understanding of machine learning model lifecycle management, including training, deployment, and monitoring
• Experience with security automation, vulnerability scanning, and compliance (CIS, SOC2, GDPR)
• Solid scripting skills in Python and Bash
• Good debugging and online searching skills
• Good communication skills
• Experience using Cursor.AI or another AI development tool
• Experience working with a product-based company

• Permanent remote/WFH and flexible work culture
• Cutting-edge technology stack
• An AI-first approach for solving problems
• Complete ownership and trust from top management
• Ideas and concerns carefully listened to by top management
• Opportunity to experiment, fail, and learn
• Rapid career progression for high performers
• High-pedigree, high-caliber team
• Opportunity to learn how a fast-growing startup works and scales