Senior Cloud Infrastructure Engineer

This is a fully remote position, open to applicants in Maryland, +2 more states.

📋 Description

• Design and develop scalable and secure cloud infrastructure as well as deployment pipelines.

• Take ownership of the entire infrastructure lifecycle, encompassing architecture, provisioning, deployment, and operations.

• Facilitate technical design discussions and contribute to decisions regarding infrastructure and platform architecture.

• Create and sustain CI/CD pipelines, infrastructure-as-code, and automation to enhance engineering productivity.

• Troubleshoot complex production issues and implement long-term, scalable resolutions.

• Enhance system performance, reliability, observability, and cost-effectiveness across the platform.

• Define and implement SRE practices, including SLIs/SLOs, incident response, and postmortems.

• Collaborate closely with Product and other Engineering teams to deliver impactful features.

• Manage and participate in on-call rotations, incident response, and operational readiness.

⛳️ Requirements

• Over 5 years of experience in building and scaling cloud infrastructure, DevOps, or SRE systems.

• Proficient programming or scripting abilities in one or more languages, such as Python, Go, or Bash.

• Background in cybersecurity, vulnerability management, or threat intelligence.

• Extensive experience with cloud infrastructure, preferably AWS.

• Familiarity with infrastructure-as-code tools like Terraform or CloudFormation.

• Experience in designing and managing distributed systems and microservices architectures.

• Strong knowledge of containerization and orchestration technologies, including Docker and Kubernetes.

• Proven experience in building CI/CD pipelines and promoting deployment automation.

• Demonstrated ability to debug and optimize production systems, including taking on-call responsibilities.

• Capable of leading projects independently.

• Excellent communication skills with the ability to collaborate across functions.

• Preferred: knowledge of CVE, NVD, KEV, or exploit intelligence datasets.

• Preferred: experience with observability platforms such as Datadog, Prometheus, or Grafana.

• Preferred: experience in high-growth or startup environments.

🏝️ Benefits

• Generous and flexible time off.

• Contributions to retirement/pension plans (e.g., 401k with a match in the US; local pension schemes elsewhere).

• Comprehensive healthcare coverage.

• Generous paid parental leave.

• Remote-friendly environment with flexibility.

• Support for home office expenses (phone & internet).

• Ongoing professional development, coaching, and learning resources.

• Opportunities for career advancement within a rapidly growing team.