Sr. DevOps Engineer

Location: Austin TX

Duration: 12 Months Contract

Overview of Job/Team:

You are an experienced DevOps Engineer who thrives in a fast-paced Agile 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.

What Youll Do:

• Infrastructure Design and Maintenance:
  • Design improve and maintain secure durable and performant infrastructure to power APIs 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/ISO27001.
  • Implement and uphold security measures across all infrastructure components.

Requirements:

• Professional Experience:
  • At least 10 years of professional experience in a 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 Github Actions Code/Build/Pipeline/Deploy etc.
  • Strong working knowledge of Terraform or similar tools Ansible AWS CLI/SDK Boto.
  • Proficiency with scripting languages such as Python Bash etc. and Linux environments.
  • Strong understanding of system and networking concepts and troubleshooting techniques for bare metal and containerized workloads.
• Additional Skills:
  • Experience with release automation system administration and configuration and system debugging.

Nice to Have

• Experience supporting AI and ML systems
• Agent orchestration frameworks (e.g. AgentCore or similar).
• Experience integrating LLMs into production systems.
• Databricks and/or Snowflake infrastructure experience.
• Cost optimization for AI and LLM workloads.
• Internal developer platform experience.