At SiftHub, we are on a mission to make the life of sales and solutions teams more efficient and help them to focus on selling. SiftHub AI Sales Engineer empowers sales and pre-sales teams to improve win rates and close deals faster. SiftHub is an AI platform that acts as a central hub to collate and sift through all your content scattered across multiple repositories and tools such as Drive, Sharepoint, Confluence, CRM, Slack, product knowledge base. 

As a member of our team, you'll be at the forefront of this exciting technology revolution, working alongside some of the brightest minds in the industry to bring our platform to life. We're looking for individuals who are passionate about AI and its potential to drive real-world impact.

Whether you're an AI expert or an aspiring one, SiftHub offers an environment that supports and challenges you, enabling your growth and success. Join us today and help us shape the future of AI for enterprises!

Responsibilities:

• Design and automate the deployment of the platform and infrastructure on cloud

• Maintain development, staging and production systems ensuring 100% uptime using relevant logging and monitoring tools

• Configure and manage data sources like MySQL, Mongo, Elasticsearch, Redis, etc

• Manage source control including SVN and GIT

• Write scripts and automation using Perl/Python/Groovy/Java/Bash

• Maintain documentation for all DevOps workflows, architectures, configurations, and standard operating procedures

• Ensure compliance with relevant regulations, standards, and best practices

• Stay up-to-date on industry trends, experimenting with new technologies, and continuously learning and growing your skillset

Requirements:

• Bachelor's or Master's degree in Computer Science, Information Technology or related field

• 4+ years of relevant work experience in designing and maintaining highly scalable production systems on cloud (AWS, Azure, GCP) and on-premise

• Demonstrated proficiency in containerisation tools Docker, Podman; and container orchestration frameworks viz. Kubernetes, OpenShift, AWS EKS

• Design and implement CI/CD pipelines using tools like Jenkins, GitLab, CircleCI and ArgoCD.

• Hands-on experience in designing and implementing logging, monitoring and alerting systems like Prometheus, ELK, Zabbix

• Familiarity with networking principles, security best practices, and data storage solutions is a must

• Good knowledge of scripting languages (Bash, Python, Ruby, etc.), automation toolchains (Ansible, Terraform), and configuration management tools (Puppet, Chef)

• Familiarity with serverless architecture, event driven architecture, managed services and serverless compute offerings from major cloud providers