Lead DevOps Engineer
Access SystemsFull Time
Senior (5 to 8 years)
Candidates should possess at least 3 years of experience in a DevOps Engineering role or similar, with proficiency in AWS services such as EC2, EKS, Elasticache, RDS, OpenSearch, and experience in container management platforms like Kubernetes and GitOps tools like Fluxcd. Strong skills in Python or Golang, in-depth experience building CI pipelines, and expertise in managing cloud-based infrastructure are also required.
The DevOps Engineer will be responsible for architecting, implementing, and managing environments in Kubernetes and AWS, designing and implementing better processes for deployment and management of environments, continually improving architecture and processes, and writing comprehensive documentation. They will also work closely with Engineers and Project Managers, improve and maintain installation and configuration procedures, and provide during- and after-hours support.
AI-powered customer support automation platform
Forethought.ai focuses on enhancing customer support through artificial intelligence. Their main product, SupportGPT™, utilizes Large Language Models (LLMs) to understand and generate human-like text, allowing businesses to automate customer service tasks. This AI is trained on a company's specific data, making it tailored to their needs. It helps businesses in sectors like E-commerce, SaaS, and FinTech by quickly resolving common customer inquiries and directing more complex issues to the appropriate agents, which reduces resolution time and operational costs. Additionally, Forethought.ai offers Autoflows, a user-friendly tool for automating customer experience without the need for coding. This tool helps businesses optimize their customer service workflows and track performance. Forethought.ai aims to improve the efficiency and effectiveness of customer support for businesses looking to enhance their service operations.