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indeed

Lead DevOps Engineer

Monotype
Uttar Pradesh, IND
Full-time
Hybrid
Discovered 1 months ago
AWS, Azure, or GCPDockerKubernetesTerraformCloudFormationCI/CD

Full Job Posting

Role Overview

Lead the design, automation, scalability, security, and reliability of cloud infrastructure and DevOps platforms.

Serve as a hands-on technical leader who influences engineering practices, mentors engineers, and communicates technical strategy to technical and business stakeholders.

What You Will Do

  • Design, implement, and modernize scalable cloud infrastructure.
  • Build and optimize CI/CD pipelines for reliable automated application deployments.
  • Lead Docker and Kubernetes containerization and orchestration initiatives.
  • Implement infrastructure as code and GitOps practices.
  • Establish DevSecOps, governance, IAM, secrets management, and compliance practices.
  • Improve observability, availability, scalability, performance, disaster recovery, and cloud cost efficiency.
  • Standardize DevOps tools, processes, golden paths, reference architectures, and deployment practices.
  • Lead platform upgrades, patching, modernization, incident response, root-cause analysis, and corrective actions.
  • Mentor DevOps engineers and collaborate with stakeholders on DevOps strategy.

Required Experience

  • 7+ years in DevOps, cloud engineering, SRE, platform engineering, or related areas.
  • Hands-on experience with AWS, Azure, or GCP; Docker; Kubernetes; and infrastructure-as-code tooling.
  • Experience with CI/CD, GitOps, DevSecOps, cloud security, networking, IAM, and high availability.
  • Experience with production incident management, root-cause analysis, multi-region architecture, and disaster recovery.
  • Experience with cloud cost optimization, FinOps, scripting, automation, mentoring, and stakeholder management.

Technical Skills

  • CI/CD technologies may include Jenkins, GitHub Actions, GitLab CI, or Azure DevOps.
  • GitOps tools may include Argo CD or Flux.
  • Observability tools may include Prometheus, Grafana, CloudWatch, Datadog, ELK, or OpenSearch.
  • Scripting and automation may use Python, Bash, PowerShell, or similar languages.

Preferred Skills

  • MLOps platforms and machine learning deployment workflows are preferred.
  • Exposure to AI-driven infrastructure or DevOps automation is preferred.
  • Multi-cloud, serverless, and artifact repository experience are preferred.
  • AWS, Kubernetes, Terraform, or relevant DevOps certifications are preferred.

Benefits

  • Hybrid work arrangements, paid time off, medical insurance, retirement planning, and development opportunities are offered.
  • Compensation includes a corporate bonus program; uncapped commission applies to quota-carrying sales roles.

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