DevOps, GitLab-based Platform, CICD 30*3 Pipelines

This is a fully remote position, open to applicants in California, +1 more state.

📋 Description

• Design, develop, and sustain comprehensive CI/CD pipelines for software applications and machine learning models.

• Automate processes for building, testing, deploying, and rolling back software.

• Create, optimize, and expand cloud-native infrastructure utilizing Kubernetes and Docker.

• Oversee and allocate specialized computing resources, including GPU clusters, to support high-performance AI workloads and model inferencing.

• Take responsibility for high-availability design in production settings.

• Develop and implement disaster recovery plans, self-healing strategies, capacity forecasting, and performance optimization.

• Advocate for Infrastructure as Code methodologies using Terraform, Ansible, and Helm.

• Design and enhance monitoring, logging, and alerting systems with tools like Prometheus, Grafana, and the ELK/EFK stack.

• Construct the Internal Developer Platform and streamlined processes that allow product, model, and data-science teams to deploy without ticket submissions.

• Work alongside R&D, Data Science, Security, and Business teams to improve workflows and eliminate inefficiencies.

• Set and uphold standards for system stability and security.

• Manage release workflows, implement Zero Trust access controls, supervise secrets management, and ensure compliance with SOC2/ISO27001.

• Lead troubleshooting efforts, root-cause analysis, and proactive remediation during complex issues and major incidents.

• Transform incident insights into automation to avert future occurrences.

⛳️ Requirements

• Bachelor's degree or higher in Computer Science, Engineering, or a related technical discipline.

• Over 5 years of practical experience in DevOps, Site Reliability Engineering (SRE), or Cloud Infrastructure roles.

• Advanced knowledge of Linux operating systems and fundamental networking concepts, including TCP/IP, DNS, HTTP, Load Balancing, and VPCs.

• Profound expertise in Docker and Kubernetes orchestration, including cluster management and best practices for production environments.

• Proficient in designing and managing infrastructure on major public or hybrid cloud platforms, such as AWS, GCP, Azure, or Alibaba Cloud.

• Experience with multi-cloud and hybrid-cloud approaches.

• Strong programming and scripting skills in at least one prominent language, such as Go, Python, or Shell.

• Methodical and practical knowledge of CI/CD practices, Infrastructure as Code (IaC), observability frameworks, and SRE principles.

• Outstanding problem-solving skills and keen technical judgment.

• Excellent communication abilities across teams.

• Preferred: Familiarity with MLOps practices, model serving/inferencing frameworks like vLLM, TGI, or Triton Inference Server.

• Preferred: Experience managing GPU clusters for AI/ML tasks.

• Preferred: Background in large-scale distributed systems or high-concurrency environments.

• Preferred: Practical experience in designing and developing Internal Developer Platforms (IDP).

• Preferred: Knowledge of Zero Trust architecture, automated security testing (DevSecOps), SOC2, or ISO27001.

• Preferred: Previous experience as a Technical Lead, mentoring junior engineers, or leading DevOps teams.

• Preferred: Experience integrating an LLM-driven code/config helper into a pipeline or strong perspectives on the subject.

• Must adhere to applicable work authorization and equal employment regulations in the relevant country, state, and local jurisdictions.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Flexible working hours and the option for remote work.

• Opportunities for professional development and continuous learning.

• Generous paid time off and holiday schedule.

• Supportive and inclusive company culture.

• Access to cutting-edge tools and technologies.