Technical Lead - DevOps

IDfy

Mumbai

On-site

INR 4,500,000 - 7,000,000

Full time

14 days+
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Job summary

IDfy in Mumbai is seeking a Tech Lead - DevOps to own end-to-end cloud architecture, lead large-scale production setups, and drive platform reliability for fraud detection and trust systems. You will balance strategy with hands-on guidance, shaping engineering decisions and client-facing architectural discussions.

With 9-12+ years in DevOps/Cloud, you will design scalable infrastructure across AWS/GCP/Azure, implement IaC, and champion strong observability and CI/CD practices while mentoring

Qualifications

  • 9–12+ years of experience in DevOps / Cloud / Platform Engineering
  • Deep expertise in cloud platforms (AWS / GCP / Azure) with the ability to design architecture from scratch
  • Successfully implemented multiple production-grade cloud setups end-to-end
  • Proficient with Infrastructure as Code (Terraform / CloudFormation etc.)
  • Strong experience with CI/CD systems and DevSecOps practices
  • Hands-on expertise in Kubernetes, containerization, and microservices architectures
  • Understanding observability, monitoring, and reliability engineering (Prometheus, Grafana, ELK)
  • Ability to lead, mentor, and drive technical decision-making across teams
  • Strong communication skills and client-facing capabilities

Responsibilities

  • Design and own end-to-end cloud architecture for IDfy's platform ensuring scalability, security, and cost efficiency
  • Lead and implement production-grade infrastructure setups across cloud environments
  • Define and drive DevOps strategy, standards, and best practices across teams
  • Architect and optimize CI/CD pipelines, release processes, and deployment strategies
  • Build and evolve highly available, fault-tolerant, and resilient systems
  • Drive Infrastructure as Code adoption and standardization across projects
  • Own observability, monitoring, alerting, and incident response frameworks
  • Collaborate with engineering, product, and data teams to enable DevOps / ML Ops ecosystems
  • Act as a technical leader in client discussions, translating requirements into scalable solutions
  • Mentor engineers, review designs, and guide teams on best practices and architecture decisions
  • Proactively identify risks, optimize costs, and drive continuous improvement across infrastructure

Skills

Leadership
Mentoring
Client facing
Automation mindset
Strategic thinking

Tools

Terraform
CloudFormation
GitLab CI
Jenkins
GitHub Actions
Kubernetes
Prometheus
Grafana
ELK

Job description

Role Overview

As a Tech Lead - DevOps, you will own the end-to-end cloud architecture, lead large-scale production setups, and drive platform reliability for our fraud detection and trust systems. You will operate at a strategic level while staying hands-on—guiding teams, influencing engineering decisions, and working directly with clients to design robust, scalable infrastructure.

If you enjoy solving complex infra challenges, leading from the front, and building production systems that scale-this role is for you.

We are the perfect match if...
  • Have 9-12+ years of experience in DevOps / Cloud / Platform Engineering
  • Have deep expertise in cloud platforms (AWS / GCP /Azure) with the ability to design architecture from scratch
  • Have successfully implemented multiple production-grade cloud setups end-to-end
  • Are highly proficient with Infrastructure as Code (Terraform / CloudFormation, etc.)
  • Have strong experience with CI/CD systems (GitLab CI/ Jenkins / GitHubActions) and DevSecOps parctices
  • Have hands-on expertise in Kubernetes, containerization, and microservices-based architectures
  • Understand observability, monitoring, and reliability engineering (Prometheus, Grafana, ELK, etc.)
  • Can lead, mentor, and drive technical decision-making across teams
  • Have strong communication skills and can confidently operate in client-facing environments
  • Bring an automation-first mindset with a focus on scalability, reliability, and performance(Bonus)
  • Have exposure to ML Ops / data platforms
Here’s what your day will look like...
  • Design and own end-to-end cloud architecture for IDfy's platform ensuring scalability, security, and cost efficiency
  • Lead and implement production-grade infrastructure setups across cloud environments
  • Define and drive DevOps strategy, standards, and best practices across teams
  • Architect and optimize CI/CD pipelines, release processes, and deployment strategies
  • Build and evolve highly available, fault-tolerant, and resilient systems
  • Drive Infrastructure as Code adoption and standardization across projects
  • Own observability, monitoring, alerting, and incident response frameworks
  • Collaborate with engineering, product, and data teams to enable DevOps / ML Ops ecosystems
  • Act as a technical leader in client discussions, translating requirements into scalable solutions
  • Mentor engineers, review designs, and guide teams on best practices and architecture decisions
  • Proactively identify risks, optimize costs, and drive continuous improvement across infrastructure
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