Job
Description
About US: Foundation AI automatically ingests incoming documents, emails, and attachments from across your firm. It profiles matches, classifies, and saves each to your DMS, and then automates document-dependent workflows according to your rules. Read more about us at www.foundationai.com Job Overview: At Foundation AI, as a Lead DevOps Engineer, you will play a pivotal role encompassing technical expertise in version control and coding, alongside leadership in CI/CD implementation. Your proficiency in troubleshooting and strong communication skills are essential to maintaining seamless operations in a dynamic, cloud-native environment, adhering to best practices and fostering efficient collaboration. Responsibilities: As a Lead DevOps Engineer at Foundation AI, you will bring extensive expertise in managing code deployment, configuration, and monitoring, ensuring high service availability, latency management, and effective change and capacity management. Utilizing SLAs, SLIs, and SLOs, you will define and maintain system reliability standards, while actively collecting and sharing data with development teams to enhance code quality. Your role will focus on proactive issue resolution through robust monitoring and logging practices, implementing automation to streamline operations, and maintaining a balance between operational tasks and development work. Experience with Infrastructure as a Service (e.g., Terraform), proficiency in Shell scripting and Linux OS, and database configuration skills are essential. Familiarity with the ELK stack, expertise in managing CI/CD pipelines such as Jenkins, and proficiency in Git repository management are also required. Knowledge of AWS services, access provisioning, and optimizing product scalability and availability are critical, along with deploying and maintaining monitoring tools and utilizing cloud services efficiently. Additional qualifications include acting as a configuration manager, optimizing cloud resources, and reducing spending, with AWS Certification considered advantageous. Experience with Airflow, Helm Charts, AWS SageMaker, and MLOps is a plus, alongside 7-10 years of experience, a masters degree in computer science preferred, and demonstrated leadership in project development and adherence to system security best practices. Proficiency in coding and scripting, detailed knowledge of web and application servers, familiarity with Linux and Windows operating systems, and experience with containerized platforms and orchestration round out the essential qualifications for this role. Rich Industry Experience:
