Sifthub

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, youll 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. Were looking for individuals who are passionate about AI and its potential to drive real-world impact. Whether youre 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: Bachelors or Masters 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

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 Senior QA Engineer, you will lead end-to-end product quality efforts to ensure bug free product releases. You will spearhead new initiatives to enhance both product quality and testing processes, maintaining thorough test documentation and introducing automation when applicable. Whether youre 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: Develop a comprehensive test plan that outlines the scope, objectives, and testing strategy for our AI product Collaborate with cross-functional teams, including developers, product managers, and UI/UX designers, to identify and address quality issues throughout the software development lifecycle Develop and maintain automated test scripts and frameworks using industry-standard tools and technologies Perform various types of testing, including functional, integration, regression, performance, and security testing Identify, document, and track software defects, ensuring timely resolution and high-quality deliverables Actively participate in code reviews, providing feedback on testability, quality, and best practices Contribute to the improvement of QA processes and methodologies, implementing best practices and innovative testing techniques Stay up-to-date with industry trends, emerging technologies, and new approaches to software quality assurance, with a focus on AI tool testing Requirements: Bachelors or Master s degree in computer science, software engineering, or a related field 4+ years of experience, primarily with B2B SaaS products, with hands-on expertise in both manual and automation testing Proficiency in test automation (with tools such as, Selenium, Cypress, Playwright) and API testing and concepts Experience with Agile, Git, and cloud platforms (preferred) Experience testing AI applications and using AI testing tools (preferred). Ability to create test plans, execute tests, and report defects effectively Strong analytical, problem-solving, and communication skills