Sr. DevOps Engineer
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Role details
Tech stack
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Job description
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:
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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.
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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.
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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…
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Requirements
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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.
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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.
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Additional Skills:
- Experience with release automation, system administration and configuration, and system debugging.
Nice to Have
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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.
Benefits & conditions
- $75.00 per hour
About the company
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