Senior Cloud Ops Engineer

Join our team as a Senior Cloud Ops Engineer, where you will design, improve, and maintain secure and performant infrastructure to support APIs, AI operations, web applications, and data mining workflows. You will collaborate with developers to bring new products and services into production, automate testing and deployment, and ensure compliance with information security standards. Enjoy competitive salaries, health benefits, generous PTO, and a remote-friendly culture.

• Design, improve, and maintain secure, durable, and performant infrastructure to power APIs, AI operations, web applications, and data mining/ETL workflows.
• Automate testing, deployment, and monitoring of all products and services throughout the software development lifecycle.
• Proactively meet standards for information security and compliance, such as SOC 2/ISO27001/CMMC, and implement security measures across all infrastructure components.

• 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 / DevOps 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., AgentCore 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