Devops Lead

Role & responsibilities

As a Tech Lead DevOps, youll own the end-to-end cloud architecture, lead large-scale production setups, and drive platform reliability for ourfraud detection and trust systems.You’ll 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.

Here’s what your day will look like...

• Design and own end-to-end cloud architecture forIDfy’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 incidentresponse frameworks
• Collaborate with engineering, product, and data teams to enable DevOps / ML Ops ecosystems
• Act as a technical leaderin 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

Preferred candidate profile

• Have 8–12+ 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 inKubernetes, 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