Sr. DevOps Engineer

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 You'll 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., As a Fullstack Engineer, you will play a pivotal role in developing and maintaining robust applications that drive business value. This remote position allows you to collaborate wi…

• 1 day ago
• Apply easily

• Professional Experience:

• At least 12 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.

• $75.00 per hour

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