Skill
Infrastructure as Code (IaC)
Cloud Computing and DevOps
Infrastructure as Code (IaC) is the practice of defining and managing servers, networks, and other infrastructure using declarative or scripted configuration files instead of manual setup. Popular tools include Terraform, Pulumi, and Ansible, used by DevOps and cloud engineers to automate deployments consistently. IaC enables version control, repeatability, and faster recovery when rebuilding environments.
Infrastructure as Code (IaC) in the job market
Last checked September 13, 2026
- Open roles
- 3
- Employers
- 3
- Median pay
- —
- Disclose pay
- —
on Career App right now
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Open roles requiring Infrastructure as Code (IaC) (3)
Cloud Operations Engineer
Accenture
This is a cloud operations role supporting secure government infrastructure from a Cheltenham site, requiring hands-on Linux and cloud systems expertise in a 24/7 shift-based environment. It suits people with production support experience who want to work with air-gapped cloud technology and can commit to unsociable shift patterns including nights and weekends.
Listed on Accenture’s careers site · Apply there ↗
Staff Software Engineer - Adaptive Telemetry, Databases | USA | Remote
Grafana Labs
Full-time · United States (Remote) · $174,986 – $209,983
This Staff Backend Engineer role leads technical strategy and end-to-end delivery for Grafana's Adaptive Telemetry systems, which help customers optimize their observability data storage across metrics, logs, traces, and profiles. It suits experienced distributed systems engineers who can drive architecture decisions, mentor teams, and operate mission-critical databases at scale in a remote-first environment.
Listed on Grafana Labs’s careers site · Apply there ↗
Senior Software Engineer - Together Cloud Platform
Together AI
Full-time · San Francisco, CA · $160,000 – $230,000
Together AI is seeking a Senior Backend Engineer to build distributed systems and cloud infrastructure for their AI acceleration platform, managing GPU scheduling, data center resources, and customer-facing services. This role suits experienced backend engineers comfortable with large-scale distributed systems, Kubernetes, and cloud infrastructure across AWS, Azure, or GCP.
Listed on Together AI’s careers site · Apply there ↗