Technical skills
About this role
Who we are:
With over 5M+ installs and 57k+ GitHub stars, a community that grew 4,704% year over year. Cline is the leading open-source AI coding agent. Trusted by the world's largest engineering organizations and individual developers alike, Cline is model agnostic, provider agnostic, and IDE agnostic, meeting engineers everywhere they work while keeping code on your infrastructure.
Teams choose Cline because it's the only coding agent that combines cutting-edge capability with enterprise-grade security, using existing provider contracts directly with zero markup. Cline has raised $32M in combined Series A and Seed funding, led by Emergence Capital and Pace Capital, with participation from 1984 Ventures, Essence VC, and Cox Exponential.
What we are looking for:
You’ll be responsible for building and scaling the infrastructure that supports our AI inference pipelines, backend APIs, and enterprise integrations. This role goes beyond just keeping systems running—you’ll design for scale, reliability, and developer velocity, collaborating closely with backend engineers and ML teams.
As a Senior Infrastructure Engineer, you’ll also influence technical strategy, mentor other engineers, and drive infrastructure-wide initiatives that shape the future of our platform.
Responsibilities
- Design and operate scalable, low-latency infrastructure for LLM inference, caching, and distributed APIs.
- Build highly reliable and observable systems—defining SLAs, SLIs, and SLOs for core services.
- Drive cloud infrastructure strategy (AWS/GCP/Azure), including networking, security, and cost optimization.
- Implement CI/CD pipelines and developer productivity tooling to accelerate shipping velocity.
- Collaborate with engineers to productionize AI models and optimize resource utilization (GPU scheduling, autoscaling).
- Proactively identify and resolve bottlenecks, ensuring high availability and resiliency across systems.
- At the senior level: mentor engineers, lead cross-functional technical projects, and contribute to long-term infrastructure roadmap.
Qualifications
- 6-8+ years experience in infrastructure, SRE, or platform engineering roles.
- Expertise in cloud infrastructure (AWS, GCP, or Azure) and container orchestration (Kubernetes, Helm).
- Strong background in distributed systems, networking, and performance optimization.
- Proficiency in infrastructure-as-code tools (Terraform, Pulumi, or CloudFormation).
- Solid programming/scripting skills (Python, Go, or Bash).
- Hands-on experience with monitoring, observability, and incident response.
- Our cash compensation range for this role is $225,000 - $250,000+.
- Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above.
- Equity: In addition to the base salary, equity may be part of the total compensation package.
Benefits
Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.