Sr. Cloud Ops Engineer - SpyCloud

SpyCloud is on a mission to make the internet a safer place by disrupting the criminal underground. Our solutions thwart cyberattacks and protect more than 4 billion accounts worldwide. Cybersecurity is an exciting, evolving space, and being at the forefront of the fight to disrupt cybercrime makes SpyCloud a special place to work.

We are looking for an experienced Cloud Ops Engineer who thrives in a fast-paced and AI-forward environment. You have a passion for innovation, solid design principles, and high-quality development, excelling at designing, improving, and maintaining secure, performant infrastructure while automating processes to ensure efficiency and scalability.

What You'll Do

• Infrastructure Design and Maintenance: Design, improve, and maintain secure, durable, and performant infrastructure to power APIs, AI operations, web applications, and data mining/ETL workflows to meet established SLAs. Collaborate with developers to bring new products and services into production.
• Automation and Monitoring: Automate testing, deployment, and monitoring of all products and services throughout the software development lifecycle. Continuously improve operational processes and apply best practices to ensure scalability, security, and availability.
• Security and Compliance: Proactively meet standards for information security and compliance, such as SOC 2, ISO 27001, and CMMC. Implement and uphold security measures across all infrastructure components.

Requirements

• Professional Experience: At least 5 years of professional experience in a Cloud Ops, Platform Ops, or DevOps role maintaining production infrastructure, preferably supporting a highly available environment for a SaaS or cloud service provider.
• Technical Proficiency:
  • Strong working knowledge of AWS services such as EC2, ECS or EKS, Lambda, API Gateway, RDS, DynamoDB, CloudWatch, S3, Code/Build/Pipeline/Deploy, and VPC Lattice.
  • Strong working knowledge of Terraform (or similar tools), Ansible, AWS CLI/SDK, and Boto.
  • Proficiency with scripting languages such as Python and Bash, alongside Linux environments.
  • Strong understanding of system and networking concepts and troubleshooting techniques for bare metal and containerized workloads.
  • Experience supporting AI and ML systems, agent orchestration frameworks (e.g., AgentCore), and integrating LLMs into production systems.
• Additional Skills: Experience with release automation, system administration and configuration, and system debugging.

Nice to Have

• Databricks or Snowflake infrastructure experience
• Cost optimization for AI and LLM workloads
• Internal developer platform experience