DevSecOps Engineer

At Prodigal, we are building AI Agents for loan servicing and collections. Founded in 2018 by IITB alumni, our journey began when our founders Shantanu and Sangram faced the antiquated the $13B+ lending/collections industry was mostly using pen and paper and decided to build the first real intelligence layer for debt recovery. Today, we stand at the forefront of a seismic shift in the industry, building Agentic AI applications for loan servicing and collections. Powered by our cutting-edge platform, Prodigal’s Intelligence Engine (PIE), we’re creating the next-generation agentic workforce - one that empowers companies to achieve unprecedented levels of operational excellence and intelligence. With over 100+ enterprise customers across North America and backing from Y Combinator, Accel and Menlo Ventures, we are the fastest growing AI company in consumer finance. The Role Prodigal processes sensitive borrower conversations and financial data at scale — security here is a product requirement, not a compliance checkbox. You'll work alongside our DevSecOps Lead to embed security across our cloud infrastructure, CI/CD pipelines, Kubernetes workloads, and AI systems. That means owning IAM policies, hardening our AWS environment, driving SOC2 compliance, and building the guardrails the engineering team ships within. What makes this role genuinely different: you'll also operate real-time voice AI infrastructure at production scale — sub-1 second latency pipelines, GPU workloads, model serving, and inference cost management. That combination of security ownership and AI/ML infrastructure exposure is hard to find. It's a small team with direct access to senior engineering leadership. You'll have real ownership, not a ticket queue. What You’ll Do AWS Infrastructure: Manage and optimise AWS resources — compute, networking, storage. Implement infrastructure-as-code via Terraform. Own cost monitoring, rightsizing, and cloud spend optimisation. Cloud Cost Management: Drive overall cloud cost optimisation efforts, including identifying opportunities for rightsizing, work with internal teams to optimise usage of infra, eradicate waste, optimise workflows. Kubernetes & Container Orchestration: Operate and troubleshoot Kubernetes clusters. Manage pod scheduling, resource limits, autoscaling (Karpenter), service mesh (Istio), and container lifecycle. Monitoring & Incident Response: Build and maintain monitoring, alerting, and dashboards (Prometheus, Grafana). Participate in incident response, root cause analysis for infrastructure components, and runbook development. CI/CD & Deployments: Architect and maintain automated pipelines with integrated security guardrails, including SAST, dependency scanning, and secrets detection. Orchestrate seamless deployments across staging and production environments using TrueFoundry. AI/ML Infrastructure Support: Assist with DataBricks environment management, GPU workload scheduling, and model deployment pipelines. Help track and optimise AI compute costs across hosted and self-hosted workloads. Automation & Tooling: Identify manual, repetitive operational tasks and automate them. Build internal tooling and scripts (Python, Bash) that make the engineering team more productive. What We’re Looking For 3-5 years of hands-on DevOps/DevSecOps experience in a product company or startup. B.Tech, BE, or M.Tech in Computer Science or related discipline. AWS proficiency — EC2, VPC, IAM, S3, CloudWatch. Comfortable in the console and CLI daily, not just during incidents. Kubernetes in production — deployment management, troubleshooting, scaling. You've operated clusters, not just followed tutorials. CI/CD pipelines — GitHub Actions, GitLab CI, ArgoCD, or similar and Embed automated security testing (SAST/DAST) into CI/CD workflows to catch vulnerabilities before they reach production. Infrastructure-as-Code — Terraform or CloudFormation. You write and review IaC; you don't manage infra through the console. Scripting — Pyt…