Remote DevOps Engineer

Job Title:

Company:

Experience:

Job Overview :

• We are seeking a

  Senior DevOps Engineer

  with strong expertise in

  building cloud platforms

  and

  developing custom deployment platforms (e.g., GitHub/GitLab-based solutions)

  . The ideal candidate should be capable of driving infrastructure automation, CI/CD at scale, and architecting secure, resilient cloud-native platforms. Immediate joiners are preferred.

Key Responsibilities:

• Lead and mentor

  a small team of DevOps and platform engineers.
• Design and build scalable

  cloud platforms

  using AWS, GCP, or Azure, tailored for AI/ML workloads.
• Develop and manage

  custom deployment platforms

  leveraging GitHub Actions, GitLab CI/CD, Jenkins, ArgoCD, etc.
• Create end-to-end CI/CD pipelines with automated build, test, and deploy workflows.
• Build self-service DevOps tools/platforms for internal and external use.
• Automate infrastructure provisioning using Terraform, CloudFormation, or Pulumi.
• Manage container orchestration with Kubernetes and Helm across multi-cloud environments.
• Implement monitoring, alerting, and logging solutions (Prometheus, Grafana, ELK stack).
• Ensure high availability, disaster recovery, and zero-downtime deployments.
• Collaborate closely with engineering, product, and security teams.

Required Skills & Qualifications:

• 2+ years of DevOps or Platform Engineering experience.
• Proven experience in

  building and maintaining cloud platforms

  .
• Deep knowledge of

  GitHub/GitLab custom deployment workflows

  .
• Strong experience in Docker, Kubernetes, and microservice architecture.
• Solid background in AWS, GCP, or Azure (certifications are a plus).
• Proficiency in scripting languages (Python, Bash, or Go).
• Expertise with Infrastructure-as-Code and CI/CD pipelines.
• Strong focus on security, observability, and performance.
• Available to join

  immediately

  or within short notice.

Nice to Have:

• Experience building

  internal developer platforms (IDP)

  .
• Familiarity with service mesh (Istio, Linkerd) and secrets management (Vault, SOPS).
• DevSecOps mindset and hands-on with security tools like Trivy, Aqua, etc.
• Previous work in AI/ML model deployment or MLOps pipelines.

What We Offer:

• Competitive compensation and performance bonuses
• Opportunity to build platform infrastructure from scratch
• Work alongside AI experts on high-impact projects
• Flexible, hybrid or remote work culture
• Rapid career growth opportunities