Senior SRE

Job not on LinkedIn

🔥 0 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

CloudFactory

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2010

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

CloudFactory is a company that provides an AI Data Platform to accelerate the journey from AI concepts to fully operational solutions. Their platform enables the creation and preparation of high-quality, structured datasets aimed at improving model accuracy and speeding up deployment. CloudFactory's services include GenAI for enhancing foundational LLM model performance, model oversight for auditing and managing AI models, and professional services guiding projects through value proof and MVP stages to full production. The company places a strong emphasis on inference optimization and the synergy of human and machine intelligence to ensure trustworthy and reliable AI model deployment, focusing on delivering real-world business results. They also prioritize data security and compliance with industry standards like ISO 9001:2015, ISO 27001, SOC 2, HIPAA, and GDPR.

📋 Description

• Design and implement new core infrastructure components with a high degree of autonomy • Optimize and improve deployment pipelines, environment provisioning, and high-throughput batch jobs • Use Infrastructure as Code tools such as Terraform to manage and scale complex infrastructure • Develop CI/CD pipelines for automated build, test, deployment, and monitoring processes • Create and manage multi-step CI/CD pipelines, including environment setup and artifact handling • Support the reliability, availability, and performance of production systems • Apply site-reliability practices across infrastructure • Set up monitoring, alerting, and observability tooling • Collaborate with software engineers, product, and business stakeholders on infrastructure and deployment systems • Communicate complex technical issues clearly to technical and non-technical stakeholders

🎯 Requirements

• 5+ years of experience building and operating infrastructure in production environments • Fluent in Python with strong experience writing production-ready code • Experience with Docker and Kubernetes • Knowledge of cloud platforms such as GCP or AWS • Experience using Infrastructure as Code tools such as Terraform • Experience using CI/CD platforms to automate build, test, and deployment pipelines • Comfortable applying site-reliability principles including availability, observability, and automation • Degree in Computer Science, Engineering, or another quantitative or computational field, or equivalent practical experience • Familiarity with Prometheus or Grafana preferred • Experience with configuration management tools such as Ansible, Chef, or Puppet preferred • Exposure to multi-cloud or hybrid-cloud environments preferred

🏖️ Benefits

• Great Mission and Culture • Meaningful Work • Market competitive salary • Quarterly variable compensation • Hybrid Working Model • Comprehensive medical cover • Group life insurance • Personal development and growth opportunities