Job Opportunities API

At Prodigal, we are building AI Agents for loan servicing and collections. Founded in 2018 by IITB alumni, our journey began with one bold mission: to eradicate the inefficiencies and confusion that have plagued the lending and collections industry for decades. We are backed by Y Combinator, Accel and Menlo Ventures.  Today, we stand at the forefront of a seismic shift in the industry, building Agentic AI applications for consumer finance. 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 half a billion consumer finance interactions processed and a growing impact on more than 100 leading companies across North America, we’ve established ourselves as the go-to partner for organizations that demand more from their AI solutions. Our unparalleled experience, coupled with our trusted customer relationships, uniquely positions us to build Agentic AI applications that will revolutionize the future of consumer finance. At Prodigal, we are driven by a singular, unrelenting purpose: to transform how consumer finance companies engage with their customers and, in turn, drive successful outcomes for all.  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 proficienc