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# DevOps Engineer

- **Company:** Recruiting from Scratch
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $150,000.0 - $240,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Configuration Management, Continuous Integration, Data Systems, DevOps, Elasticsearch, Monitoring of Systems, Python (Programming Language), Octopus Deploy, Redis, Cloud Services, Prometheus, Software Engineering, Data Streaming, Google Cloud, Amazon Relational Database Service, Kubernetes, Deployment Automation, Data Management, Terraform, Amazon Redshift
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/devops-engineer-san-francisco-ca--17801cfc-bf6c-431b-9f97-22110e096ddd

## About the Role

DevOps, DevOps, Funding, Software Development, Application Programming Interface (API), Artificial Intelligence (AI), Business-to-Business (B2B) Software, Microsoft Windows Azure, Amazon Web Services (AWS), GCP (Good Clinical Practices), * 8-10 years of experience in a DevOps or Infrastructure Engineering role.

 * Proficient in cloud services, specifically AWS, GCP, and Azure.
 * Strong experience with container orchestration tools, particularly Kubernetes.
 * Skilled in automation and configuration management using Terraform.
 * Familiarity with programming in Python and working with monitoring tools like Prometheus.
 * Experience with data management technologies such as Redis and ElasticSearch.

Preferred

 * Experience with streaming data solutions, including Kinesis.
 * Knowledge of advanced CI/CD practices and tools.
 * Familiarity with the AI and enterprise software development landscape.
 * Previous involvement in a Series B funded startup environment.

## Description

* Design and implement robust infrastructure solutions using AWS, GCP, and Azure.
 * Automate deployment processes with Terraform and Kubernetes to improve efficiency.
 * Monitor system performance with Prometheus and troubleshoot issues proactively.
 * Manage data solutions utilizing Redis, ElasticSearch, RDS, and Redshift.
 * Collaborate with engineering teams to streamline CI/CD pipelines using Argo CD and Atlantis.
 * Ensure the security and reliability of integrations across various platforms.
 * Contribute to architectural decisions that enhance scalability and performance.