How matching works for DevOps and cloud roles
Job Search compares each posting's tool and platform requirements with your resume: cloud providers, container and orchestration experience, infrastructure as code, CI/CD systems and monitoring. Rahul, with three years on AWS, Terraform and Kubernetes, sees AWS-focused platform roles ranked above Azure-only roles.
Name the environments you actually ran in production. "Migrated 40 services to EKS with Terraform and ArgoCD" gives the matcher and recruiter far more than a list of logos.
Auto-apply with approval on every application
Auto-Apply drafts a resume version, cover letter and form answers for each role that passes your rules, using only facts from your resume and profile. You review and approve each application before it goes anywhere, which keeps you from spamming employers or claiming tools you have not used.
The Apply Assist extension fills the employer's form in your browser and leaves the submit click to you. It also skips sensitive questions, such as work authorisation and salary.
Keywords and job titles to target
Add the title variants that match your work, and use the exact tool names in your resume.
- Titles: DevOps Engineer, Site Reliability Engineer, Platform Engineer, Cloud Engineer, Build and Release Engineer, Infrastructure Engineer.
- Cloud: AWS, Azure, Google Cloud.
- Tooling: Docker, Kubernetes, Helm, Terraform, Ansible, Jenkins, GitHub Actions, GitLab CI, ArgoCD.
- Observability: Prometheus, Grafana, ELK, Datadog, incident response, SLOs.
- Scripting: Bash, Python, Linux administration.
Tailoring your resume and profile
Resume AI tailors per posting, for example surfacing incident response and SLO work for an SRE role, or Terraform modules for a platform role. Your profile should list preferred titles, cloud platforms, certifications you hold, on-call willingness, locations, work mode and notice period.
Credit usage
Job Search, Auto-Apply and Resume AI use AI credits. The free plan includes 100 AI credits without a card. Interview Copilot and Job Support hours are $5 per hour, each with 200 AI credits included, and hours and credits never expire.