security
Posted 1 weeks agoDevSecOps Engineer
at Prodigaltech
Mumbai, IndiaOn-site
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Responsibilities
- 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.
- 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.
- Automation & Tooling: Identify manual, repetitive operational tasks and automate them. Build internal tooling and scripts (Python, Bash) that make the engineering team more productive.
Requirements
- At Prodigal, we are building AI Agents for loan servicing and collections.
- Today, we stand at the forefront of a seismic shift in the industry, building Agentic AI applications for consumer finance.
- 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.
- 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.
- Kubernetes & Container Orchestration: Operate and troubleshoot Kubernetes clusters. Manage pod scheduling, resource limits, autoscaling (Karpenter), service mesh (Istio), and container lifecycle.
- 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.
- 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.
- Scripting — Python and/or Bash for automation and tooling. You reach for a script before doing something manually twice.
- Security fundamentals — working knowledge of IAM least-privilege, secrets management, and basic compliance concepts (SOC2, PCI-DSS).
- Hands-on with ML/AI infrastructure — GPU instances, model serving (TorchServe, Triton, TrueFoundry), or inference workload optimisation. DataBricks or Spark
- experience — familiarity with controls, evidence collection, and audit processes.
- Relevant certifications — AWS Solutions Architect, CKA, AWS Security Specialty, or CompTIA Security+.
- Real-time voice AI at production scale — sub-1s latency pipelines. Genuinely interesting infra, not routine cloud babysitting.
- AI/ML infrastructure exposure from day one — GPU workloads, composite cost optimisation, model serving. Career-differentiating experience at the 3–5 year mark.
Experience
- 3-5 years of hands-on DevOps/DevSecOps
Benefits
- Communication & documentation — your runbooks, PRs, and architecture notes are readable by someone who wasn't in the room. Bonus Points
- Competitive compensation and ESOPs.
Contact
- Our Story - https://www.prodigaltech.com/our-story
- What shapes our thinking - https://link.prodigaltech.com/our-thesis
- Our website - https://www.prodigaltech.com/
Additional details
- 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.
- 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.
- 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.
- 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
- 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.
- Monitoring & Observability — Prometheus, Grafana, or similar. You've set up dashboards, alerts, and runbooks from scratch.
- Project ownership — you can take an ambiguous infra problem, break it into a plan, and drive it to completion without hand-holding. In a small team, that's not optional.