Senior Cloud Infrastructure Engineer
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Job Description
Senior Cloud Infrastructure Engineer scaling VulnCheck’s exploit intelligence platform. Building secure cloud infrastructure, CI/CD automation, and SRE practices for cybersecurity products.
Responsibilities:
- Design and build scalable, secure cloud infrastructure and deployment pipelines
- Own infrastructure end-to-end, including architecture, provisioning, deployment, and operation
- Lead technical design discussions and contribute to infrastructure and platform architecture decisions
- Build and maintain CI/CD pipelines, infrastructure-as-code, and automation to support engineering velocity
- Debug complex production issues and implement long-term, scalable solutions
- Improve system performance, reliability, observability, and cost-efficiency across the platform
- Define and drive SRE practices, including SLIs/SLOs, incident response, and postmortems
- Partner closely with Product and other Engineering teams to deliver impactful features
- Own and participate in on-call rotations, incident response, and operational readiness
Requirements:
- 5+ years of experience building and scaling cloud infrastructure, DevOps, or SRE systems
- Strong programming or scripting skills in one or more languages, including Python, Go, or Bash
- Experience in cybersecurity, vulnerability management, or threat intelligence
- Deep experience with cloud infrastructure, with AWS preferred
- Experience with infrastructure-as-code tools such as Terraform or CloudFormation
- Experience designing and operating distributed systems and microservices architectures
- Strong understanding of containerization and orchestration, including Docker and Kubernetes
- Experience building CI/CD pipelines and driving deployment automation
- Proven ability to debug and optimize production systems, including on-call ownership
- Ability to lead projects independently
- Excellent communication skills and ability to collaborate cross-functionally
- Preferred: familiarity with CVE, NVD, KEV, or exploit intelligence datasets
- Preferred: experience with observability platforms such as Datadog, Prometheus, or Grafana
- Preferred: background in high-growth or startup environments
Benefits:
- Generous, flexible time off
- Retirement/pension plan contributions (e.g., 401k with match in the US; local pension schemes elsewhere)
- Comprehensive healthcare coverage
- Generous paid parental leave
- Remote-friendly environment with flexibility
- Support for home office costs (phone & internet)
- Ongoing professional development, coaching, and learning resources
- Opportunities for career advancement within a fast-growing team
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