About this role
SpyCloud is focused on making the internet safer by disrupting the criminal underground through advanced cybersecurity solutions. The company protects over 4 billion accounts globally by thwarting cyberattacks. This environment requires engineers who are driven by a mission to combat cybercrime and thrive in an AI-forward setting. The Cloud Ops Engineer plays a critical role in ensuring the underlying infrastructure is secure, performant, and scalable to support SpyCloud's mission.
This role involves designing, improving, and maintaining the infrastructure that powers core services, including APIs, AI operations, web applications, and data mining workflows. The engineer will focus heavily on automation to streamline processes across the software development lifecycle, ensuring high availability and efficiency. They will also be responsible for upholding stringent security and compliance standards necessary for handling sensitive data.
This position is ideal for an individual who possesses a strong aptitude for innovation, adheres to solid design principles, and enjoys solving complex operational problems. Candidates who are proactive problem solvers with a deep understanding of systems and networking concepts will find this opportunity aligns well with their career goals.
What you will do
- Design, improve, and maintain secure, durable, and performant infrastructure to support APIs, AI operations, web applications, and data mining/ETL workflows, ensuring established SLAs are met.
- Collaborate with development teams to successfully bring new products and services into production environments.
- Automate testing, deployment, and monitoring processes across all products and services throughout the software development lifecycle.
- Continuously enhance operational processes by applying best practices to maintain scalability, security, and availability.
- Implement and enforce security measures across all infrastructure components to meet compliance standards like SOC 2/ISO27001/CMMC.
- Proactively meet information security and compliance standards across the infrastructure.
- Implement security measures across all infrastructure components.
What you need
- Possess at least five years of professional experience in a Cloud Ops, Platform Ops, or DevOps role, preferably supporting a highly available environment for a SaaS or cloud service provider.
- Demonstrate a strong working knowledge of core AWS services such as EC2, ECS or EKS, Lambda, API Gateway, RDS, DynamoDB, Cloudwatch, S3, and VPC Lattice.
- Require strong proficiency with infrastructure-as-code tools like Terraform or similar technologies, alongside experience with Ansible and the AWS CLI/SDK, including Boto.
- Must be proficient in scripting languages such as Python and Bash, and have a solid background working within Linux environments.
- Need a strong understanding of system and networking concepts, along with effective troubleshooting techniques for both bare metal and containerized workloads.
- Experience supporting AI and ML systems, including agent orchestration frameworks like AgentCore or similar, and integrating LLMs into production systems is required.
- Experience with release automation, system administration, and configuration tasks is also necessary.
Nice to have
- Databricks or Snowflake infrastructure experience
- Cost optimization for AI and LLM workloads
- Internal developer platform experience
Benefits
- 401(k) with Employer Contribution
- Health, Vision, and Dental Insurance
- Health Savings Account (HSA) available with Employer Contribution
- Employer Paid Life Insurance
- Short-term, and Long-term Disability Insurance
- Generous PTO Plan
- 16 paid holidays per year
Skills and tech stack
Questions candidates ask
What is the remote work policy?
SpyCloud offers flexible and remote-friendly work options in addition to their workspace in South Austin.
What is the salary range for this role?
The base salary range for this position is $146,000 – $190,000, reflecting the expected base compensation for a fully qualified candidate at this level.
What is the primary tech stack used?
The required technologies include AWS services such as EC2, ECS or EKS, Lambda, API Gateway, RDS, DynamoDB, Cloudwatch, S3, Code/Build/Pipeline/Deploy, VPC Lattice, and tools like Terraform and Ansible.
What kind of team will I be working with?
The role involves collaboration with developers to bring new products and services into production and working within a team focused on cybersecurity and AI-driven solutions.