Platform Engineer Leader

Weekday AI

  • Gurgaon, Haryana
  • Permanent
  • Full-time
  • 17 days ago
Job Description:This role is for one of Weekday's clients
Salary range: Rs 2500000 - Rs 6000000 (ie INR 25-60 LPA)
Min Experience: 7 years
Location: Gurgaon (NCR)
JobType: full-timeRequirements:We are seeking an experienced Platform Engineer Leader to drive our DevOps, Security, Infrastructure, and Platform Engineering initiatives. This is a senior leadership role for a seasoned professional who can build and lead high-performing platform teams while architecting scalable, secure, and robust infrastructure solutions.Key Responsibilities:
  • Lead and manage a team of platform engineers, DevOps engineers, and infrastructure specialists
  • Design and implement scalable cloud infrastructure solutions on AWS, Azure, and GCP
  • Drive CI/CD strategy, automation, and deployment pipelines across the organization
  • Establish and enforce security best practices, compliance standards, and governance frameworks
  • Architect containerized solutions using Kubernetes, Docker, and orchestration technologies
  • Implement Infrastructure as Code (IaC) using Terraform, CloudFormation, and other tools
  • Drive platform reliability, monitoring, observability, and incident response strategies
  • Collaborate with development teams to optimize application performance and deployment processes
  • Mentor team members and establish technical excellence standards
Required Qualifications:
  • 7-15 years of experience in platform engineering, DevOps, or infrastructure roles
  • Strong leadership experience managing technical teams (3+ years preferred)
  • Expert-level knowledge of cloud platforms: AWS, Azure, and/or GCP
  • Proficiency in containerization technologies (Kubernetes, Docker) and microservices architecture
  • Experience with CI/CD tools: Jenkins, GitLab CI, GitHub Actions, or similar
  • Strong automation skills using scripting languages (Python, Bash, PowerShell)
  • Deep understanding of security best practices, compliance frameworks, and governance
  • Experience with Infrastructure as Code tools: Terraform, CloudFormation, Ansible, Puppet
  • Knowledge of monitoring and observability tools: Prometheus, Grafana, ELK Stack, DataDog
  • Experience with service mesh, API gateways, and distributed systems architecture
Preferred Skills:
  • Experience with multi-cloud and hybrid cloud environments
  • Knowledge of networking, load balancing, and CDN technologies
  • Background in site reliability engineering (SRE) practices
  • Experience with database administration and data platform technologies
  • Familiarity with compliance frameworks (SOC2, PCI-DSS, HIPAA)
  • Strong communication and stakeholder management skills

Weekday AI

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