marol naka mumbai maharashtra collection agent Jobs – 62 Open Jobs Today

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DevSecOps Engineer

Prodigal -
Mumbai, Maharashtra

Apply Now

Job details

Qualifications

CI/CD
Cloud infrastructure
Computer Science
PCI
Kubernetes
DevOps
Spark
Git
Cost control
Master's degree
Bash (Unix shell)
AWS
Bachelor's degree
Terraform
Continuous integration
GitHub
B.E.
S3
AI
CompTIA Security+
AWS Certified Security – Specialty
GitLab
Python
Identity & access management

Full job description

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 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 — Python and/or Bash for automation and tooling. You reach for a script before doing something manually twice.
Monitoring & Observability — Prometheus, Grafana, or similar. You've set up dashboards, alerts, and runbooks from scratch.
Security fundamentals — working knowledge of IAM least-privilege, secrets management, and basic compliance concepts (SOC2, PCI-DSS).
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.
Communication & documentation — your runbooks, PRs, and architecture notes are readable by someone who wasn't in the room.

Bonus Points

Hands-on with ML/AI infrastructure — GPU instances, model serving (TorchServe, Triton, TrueFoundry), or inference workload optimisation.
DataBricks or Spark experience — cluster management, job scheduling, cost controls.
SOC2 or PCI-DSS compliance experience — familiarity with controls, evidence collection, and audit processes.
Relevant certifications — AWS Solutions Architect, CKA, AWS Security Specialty, or CompTIA Security+.
You think about automating.

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. 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.
Two-person DevSecOps team: you’ll ship real infrastructure with direct impact, not disappear into a 20-person ops org.
Work directly with senior engineering leadership — short feedback loops, fast decisions.
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.

Apply Now

Refine Your Search

collection agent jobs in marol naka mumbai maharashtra

DevSecOps Engineer

Accounts Executive - Finance & Accounts

Process Trainer (Inbound/Outbound)

Senior Staff Engineer - 5G System Engineer

Collections & Insurance Trainer

Senior Software Engineer

Senior Software Engineer - Platform

Financial Accounting and Distribution - Manager

Head of Digital Architecture

Salesforce Engineer II, Finance Platform Automation

Sales Manager

HR - Senior Executive

Nurse Educator @Kokilaben Dhirubhai Ambani Hospital

Manager - Business Development

Senior Software Engineer - Java

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