DevOps Engineer

Tilda

Tilda

Software Engineering

India

Posted on May 17, 2026

Remote DevOps Engineer

What You’ll Do

Cloud Infrastructure & Automation

  • Design, build, and manage scalable cloud infrastructure primarily in AWS or GCP
  • Implement Infrastructure as Code (IaC) using Terraform, CloudFormation, or Pulumi
  • Automate provisioning, deployments, and operational workflows
  • Build highly available, resilient, and secure environments

CI/CD & Release Engineering

  • Own and optimize CI/CD pipelines across multiple environments
  • Improve deployment reliability, rollback strategies, and release automation
  • Partner with engineering teams to streamline software delivery lifecycle
  • Support blue/green and canary deployment strategies

Kubernetes & Containerization

  • Manage and optimize Kubernetes clusters in production
  • Build scalable containerized environments using Docker and Kubernetes
  • Improve orchestration, auto-scaling, service discovery, and cluster monitoring
  • Support microservices-based architectures

Reliability, Monitoring & Incident Response

  • Build observability solutions across infrastructure and applications
  • Implement monitoring, alerting, logging, and tracing systems
  • Drive root cause analysis and postmortem improvements
  • Improve uptime, resiliency, and performance optimization

Security & Compliance

  • Partner with Security teams on IAM, secrets management, vulnerability remediation, and infrastructure hardening
  • Implement DevSecOps best practices throughout the SDLC
  • Support compliance initiatives and secure deployment practices

Developer Experience

  • Improve internal tooling and developer workflows
  • Enable self-service infrastructure capabilities where appropriate
  • Reduce operational overhead through automation and standardization

Required Qualifications

5+ years of hands-on DevOps / SRE / Platform Engineering experience

MUST come from a product-based SaaS or technology company environment

Experience supporting internally built software products/platforms in production

Strong preference for candidates from:

  • SaaS companies
  • AI/ML startups
  • Product engineering organizations
  • Cloud-native software platforms

*Candidates from primarily services, consulting, system integrator, MSP, or support-only environments will not be prioritized at this time.