
Hire world-class software developers Globally vetted by AI. Global payroll, compliance, and benefits, all handled by us. Connect: hello@burgeonix.com

Hire world-class software developers Globally vetted by AI. Global payroll, compliance, and benefits, all handled by us. Connect: hello@burgeonix.com
What they do: AI-powered recruitment/ATS and global staffing with payroll, compliance, and RPO services
Founded: 2025
Headcount (approx.): 5
Funding: Seed round (Apr 2025); lead investor listed as YAN AI
HQ: San Francisco, California, USA
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Talent acquisition and global workforce management for software development teams
2025
Software Development
Seed round announced Apr 29, 2025; amount obfuscated in public profile.
“YAN AI listed as lead investor in Seed round”
We are looking for an experienced DevOps Engineer to join our dynamic engineering team. This role offers the opportunity to build scalable, high-performance systems and create innovative solutions that empower millions of users.
As a Senior DevOps Engineer, you will play a foundational role in designing, building, and scaling systems. We’re looking for an exceptional engineer passionate about solving complex problems at the intersection of Data, AI, and System Infrastructure.
Responsibilities:
• Build and scale client’s build and deployment systems.
• Streamline deployment and release management pipelines for customers.
• Develop robust internal tooling to improve developer efficiency.
• Design and maintain observability tools around customer clusters.
• Build and own tooling to automate operational infrastructure.
• Implement best practices for infrastructure security and automation.
• Optimize CI/CD pipelines using tools like Jenkins, GitHub Actions, etc.
Minimum Qualifications:
• 5+ years of relevant work experience in DevOps, Infrastructure Engineering, or System Reliability.
• Strong experience with Kubernetes and related container orchestration systems.
• Proven expertise with Jenkins, GitHub Actions, Docker, and CI/CD processes.
• Proficiency in Python, with experience in building backend services and APIs.
• Familiarity with monitoring and observability stacks (Prometheus, Grafana, etc.).
• Experience with cloud platforms (AWS, GCP, Azure) and their operational tools.
• Excellent problem-solving skills and communication abilities.
Ideal Qualifications (Nice-to-Have):
• Experience working with complex Kubernetes applications (e.g., split control and data planes).
• Strong knowledge of security practices such as TLS, mTLS, SSO, and image hardening.
• Familiarity with Infrastructure as Code (IaC) tools (e.g., Terraform, Ansible).
• Experience implementing MLOps frameworks (Kubeflow, MLflow).
Perks & Benefits:
Pay Range: $55-70 per hour