DevSecOps Lead
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.
About Prodigal
Prodigal is the autonomous AI platform for loan servicing and collections. Backed by Y Combinator (S18) and Accel, we build real-time voice AI agents (proAgent) and intent intelligence products that help lenders automate borrower conversations, analyse 100% of interactions, and recover more revenue — all while staying compliant. Our engineering team of ~25 works across five pods (Apps/proAgent, Platform, DSML, DevSecOps, Solution Engineering) out of Koramangala (Bengaluru), Powai (Mumbai), and Mountain View.
The Role
We’re looking for a DevSecOps Lead to own Prodigal’s infrastructure, security, and cost-optimisation layer end-to-end. This is a hybrid DevOps + InfoSec role with a heavy DevOps title — you’ll be managing and orchestrating a portfolio of best-in-class vendor platforms rather than building from scratch, while keeping us audit-ready across PCI-DSS and SOC 2 every year.
A big part of this role is composite AI cost management. You’ll own the full picture: hosted API spend, self-hosted model costs on AWS, Databricks expenses, and Kubernetes platform costs — continuously optimising the hosted vs. self-hosted equation as our AI workloads scale.
You’ll be a single-point owner with a lean team structure (potential to hire a junior DevSecOps/SRE engineer as workload scales). Reporting to engineering leadership in Bengaluru or Mumbai.
What You’ll Own
- Infrastructure & Cloud: Manage and optimise AWS infrastructure end-to-end. Manage AWS cost governance. Own TrueFoundry as the DevOps lifecycle platform for deployments, scaling, and monitoring.
- Security & Compliance: Drive PCI-DSS and SOC 2 annual certification cycles. Operate JumpCloud and Sprinto for InfoSec posture management. Handle security questionnaires from enterprise customers and vendors.
- AI Cost Optimisation: Own the composite AI spend layer — hosted API costs (Deepgram, ElevenLabs, Cartesia, OpenAI), self-hosted model costs on AWS/Databricks, TrueFoundry/Kubernetes platform spend. Build dashboards and decision frameworks for hosted vs. self-hosted trade-offs.
- Databricks Operations: Manage Databricks environments for ML/analytics workloads. Optimise job scheduling, cluster policies, and cost controls.
- IT & Ops Support: Collaborate with the existing IT admin on onboarding/offboarding workflows, equipment management, and day-to-day operational needs, including ensuring new engineers are productive from Day 1 with standardised dev environments and tooling.
- Reliability & Incident Response: Own uptime, monitoring, alerting, and incident response across production systems. Build runbooks and automation to reduce MTTR.
- Developer Experience (DevEx): Own the internal developer tooling and platform layer. Continuously evaluate and introduce tools that reduce friction across the engineering lifecycle — from local development environments and CI/CD workflows to secrets management, observability, and self-service infrastructure. Run lightweight DX surveys and track signals (e.g. build times, deployment frequency, toil hours) to prioritise improvements. Be the person engineers come to when the toolchain is slowing them down.
What We’re Looking For
- 6–8 years in DevOps, SRE, or DevSecOps — ideally at a product startup or high-growth company, not pure consulting/services.
- Deep, hands-on AWS experience (compute, networking, IAM, cost management, security best practices).
- Hands-on CI/CD experience — building and maintaining workflows for multi-environment deployments, secrets management, and automated compliance checks. Familiarity with reusable workflows, self-hosted runners, and OIDC-based AWS authentication from pipelines.
- Proven track record with compliance certifications: PCI-DSS and/or SOC 2 audit cycles from prep to completion.
- Working familiarity with vendor-heavy InfoSec tooling (Sprinto, Jumpcloud, or equivalents like Drata, Vanta).
- Experience with Kubernetes/container orchestration and modern deployment platforms (TrueFoundry, Argo, or similar).
- Databricks administration: cluster management, job scheduling, cost controls.
- Cloud cost optimisation experience — bonus if you’ve worked with composite AI/ML spend (GPU instances, managed API costs, inference workloads).
- Strong scripting chops (Python, Bash, Terraform/IaC) for automation and tooling.
Bonus Points
- AWS Solutions Architect Associate/Professional, AWS Security Speciality or Certified Kubernetes Administrator(CKA) certifications.
- Exposure to ML infrastructure: model serving, GPU scheduling, experiment tracking.
- Genuine enthusiasm for AI-driven automation — you look at repetitive ops tasks and immediately think about how to automate them.
- Experience setting up internal developer tooling and platforms that make engineering teams faster.
Why Prodigal
- YC + Accel backed, strong product-market fit in a massive lending vertical.
- Real-time voice AI at production scale — sub-1s latency pipelines (Deepgram → LLM → ElevenLabs/Cartesia, WebRTC).
- Small, high-calibre engineering team (~25) — every person has outsized impact.
- Ownership culture: you’ll own infra, security, and cost top-to-bottom, not file tickets into a queue.
- Competitive compensation and ESOPs.
From day 1, Prodigal has been defined by talented, humble, and hungry leaders and we want this mindset and culture to continue to blossom from top to bottom in the company. If you have an entrepreneurial spirit and want to work in a fast-paced, intellectually-stimulating environment where you will be pushed to grow, then please reach out because we are looking to build a transformational company that reinvents one of the biggest industries in the US.
To learn more about us - please visit the following:
Our Story - https://www.prodigaltech.com/our-story
What shapes our thinking - https://link.prodigaltech.com/our-thesis
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