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Location
In office (Pune)
Seniority
Staff · 7+ years exp

First seen by Alion on Nov 10, 2026.

Overview
Company
Impact
Profile match
ZOOP is an IT and Services company that provides a digital ID verification platform, with AI-based user authentication, address verification, financial analysis and digital contracting.

We are looking for a Platform Engineering Lead who has already helped companies move from fast growth to stable, secure, and cost-efficient scale and can do the same for ZOOP. This role sits at the intersection of engineering velocity, security, reliability, and cost discipline. You will help ZOOP evolve from strong DevOps foundations into a mature platform-led organization.


The core responsibilities for the job include the following:


Platform and Cloud Architecture:

  • Own ZOOP's platform and cloud architecture across GCP / AWS.
  • Design opinionated, reusable platform patterns instead of one-off infra.
  • Build and evolve ZOOP's Internal Developer Platform (IDP) with self-service environments, golden paths/paved roads, standardized templates, and guardrails.
  • Lead Kubernetes and cloud-native adoption at scale.
  • Drive infrastructure automation using Terraform, Pulumi, or similar IaC tools.


CI/CD, Reliability, and Dev Experience:

  • Establish strong CI/CD practices with quality gates and production readiness.
  • Drive adoption of testing, automation, and safer deployment practices.
  • Define and track golden signals, SLIs/SLOs, and incident response processes.
  • Reduce operational toil and improve developer productivity.
  • Make observability the first citizen for any infrastructure using cost-efficient systems.
  • Design observability as a stack that multiple teams can add seamlessly into their applications.


Security, Privacy, and Compliance:

  • Build security-by-default into infrastructure and pipelines.
  • Lead implementation and continuous readiness for the DPDP Act (India), ISO 27001:2022, and SOC 2 Type II.
  • Implement zero-trust principles, least-privilege access, and data isolation.


FinOps and Optimization:

  • Make cloud cost transparent and accountable across teams.
  • Set up FinOps practices with budgets, alerts, and optimization routines.
  • Balance build vs. buy decisions with clear ROI thinking.


AI, Data, and MLOps Foundations:

  • Enable secure and scalable ML/MLOps foundations.
  • Define guardrails for AI workloads and sensitive data handling.


Leadership and Collaboration:

  • Work closely with engineering teams to align infra and product strategy.
  • Mentor engineers and guide teams through change.
  • Drive long-term initiatives while keeping execution practical.


Requirements:

  • 7-9+ years building and running production infrastructure.
  • Experience scaling platforms at high-growth or regulated companies.
  • Strong hands-on background with Kubernetes and cloud-native ecosystem, service mesh and policy engines, GCP, AWS, and Azure, and Terraform / infrastructure as code.


Engineering and Operations:

  • Solid understanding of SDLC and CI/CD systems (Jenkins or Gitops).
  • Experience with observability tools like Grafana, Prometheus, and New Relic.
  • Comfortable reading and contributing to systems in Go, Python, or Node.js .


Security and Compliance:

  • Practical experience delivering ISO 27001 and SOC 2 controls.
  • Strong understanding of data protection, privacy, and access control.


Mindset:

  • Bias for action with strong judgment.
  • Analytical, cost-aware, and reliability-focused.
  • Collaborative, calm under pressure, and open to feedback.
  • Comfortable saying “no” when necessary and explaining why.


Nice to have:

  • Experience in fintech, identity, or regulated domains.
  • Built internal developer platforms or shared infra tooling.
  • Contributions to open-source projects.

Skills

DevOps, Platform, Kubernetes, Terraform, Pulumi

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