Senior Cloud Ops Engineer

• 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/CMMC
• Implement and uphold security measures across all infrastructure components

• Health benefits:
  
  From medical to dental, we’ve got you covered.
• Work/life balance:
  We offer generous PTO and a remote-friendly culture.
• Compensation:
  Our talented employees enjoy competitive salaries and equity.
• 401k matching:
  Investing in the future of our employees is a no-brainer.
• Spy Cares:
  We’re only as strong as the communities we’re a part of and giving back is in our DNA.

You are 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

You excel at designing, improving, and maintaining secure, performant infrastructure and enjoy automating processes to ensure efficiency and scalability

You are a proactive problem solver with a strong understanding of system and networking concepts

Professional

Experience:

Proficiency with scripting languages such as Python, Bash, etc., and Linux environments

Experience with release automation, system administration and configuration, and system debugging

Strong working knowledge of Terraform or similar tools, Ansible, AWS CLI/SDK, Boto Additional

Skills:

Strong understanding of system and networking concepts and troubleshooting techniques for bare metal and containerized workloads

At least 5 years of professional experience in a Cloud Ops / Platform Ops / Dev Ops role maintaining production infrastructure, preferably supporting a highly available environment for a SaaS or cloud service provider

Experience supporting AI and ML systems, agent orchestration frameworks (e.g., Agent Core or similar), and experience integrating LLMs into production systems

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, VPC Lattic etc Databricks or Snowflake infrastructure experience

Cost optimization for AI and LLM workloads

Internal developer platform experience