This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Develop, deliver, document and support robust and stable backend application features, third-party integrations and infrastructure across a breadth of services and environments. - Support the development and implementation of backend features and integrations across both legacy and new systems. - Collaborate with senior engineers and stakeholders to understand requirements and deliver solutions aligned with business needs. - Contribute to feasibility discussions and support early-stage prototyping with guidance from peers. - Implement backend functionality with attention to performance, readability, and maintainability. - Follow team patterns and contribute to test coverage, including basic post-deployment and load testing scripts. - Escalate reliability or performance concerns and partner with senior engineers to resolve them. - Help maintain and improve application monitoring by setting up or adjusting alerts, dashboards, or logs. - Participate in debugging and resolving production issues, with support from senior team members. - Document fixes and share learnings to strengthen team awareness and incident response. - Support infrastructure tasks using established tools (e.g., Terraform, ECS, Lambda) under guidance. - Assist in maintaining CI/CD pipelines and participate in identifying workflow improvements. - Write maintainable, testable code using frameworks like Django and testing tools such as Pytest. - Engage in code reviews with a learning mindset and contribute to a culture of quality and shared ownership. - Pair with teammates to troubleshoot issues and improve knowledge of system architecture. - Build awareness of how backend systems connect to product goals and customer outcomes. - Share observations that could improve team workflows, code quality, or product performance. - Seek clarity on priorities and outcomes to ensure engineering effort supports business value. Qualifications - 3+ years of professional development experience using Python and deploying backend systems using Python frameworks like Django or FastAPI. Requirements - Experience with containerized Python/Django (or FastAPI) services, including deployment on AWS. - Proficiency in troubleshooting production bugs in systems with limited QA support. - Strong grasp of SQL databases, CI/CD (especially CircleCI), containerized solutions, and infrastructure as code (Terraform preferred). - Comfortable contributing ideas, giving peer feedback via pull requests, and driving technical improvements autonomously. Company Description Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState. As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology. Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This is a foundational leadership role that will shape how intelligence flows across the entire Kaseya ecosystem. The work done here will influence every product, every customer experience, and every strategic initiative across the platform. If you want to build something that operates at global scale and drives real commercial impact, this is that opportunity. You will define and execute Kaseya’s unified Data, API and AI strategy. This includes: - Building a centralized customer data and telemetry platform - Enabling cross-product insights and intelligent automation - Embedding AI and ML into core workflows - Powering personalization and predictive capabilities at scale - Turning data into competitive differentiation You will architect and scale distributed data systems that support high availability, fault tolerance, security and cost efficiency across cloud-native environments. You will work closely with Product, Engineering, Security, Legal, Sales and Marketing to ensure the platform becomes a true force multiplier for the business. This is not a support function. It is a growth engine. Qualifications - 15 plus years of experience building distributed data systems, APIs and AI platforms - Director-level leadership experience building and scaling global engineering teams - Deep expertise in cloud-native architectures across AWS, Azure or GCP - Strong background in data engineering, telemetry pipelines and applied AI - Experience scaling platforms in high-growth SaaS environments - Strategic mindset with the ability to translate business objectives into technical execution - Strong communication skills and cross-functional leadership presence Requirements - Platform-level influence across a large product portfolio - Direct ownership of AI, data and API strategy - Opportunity to modernize architecture and reduce technical debt - Ability to shape engineering culture and execution standards - Clear commercial impact tied to measurable KPIs - Collaboration with open source communities including Argo and Numaproj.io Benefits If you are motivated by building platforms that power innovation at scale and want to shape the next chapter of a high-growth global company, we would love to speak with you. Message me directly or apply through the link in the comments. Let’s build the intelligent platform MSPs depend on. Join the Kaseya growth rocket ship and see how we are #ChangingLives!

• Support a high-priority data collection initiative designed to enhance AI systems interpretation of complex engineering software interfaces • Gather high-quality screen recordings and detailed UI annotations from experienced professionals within real digital environments • Ensure screen annotations are accurate, structured, and fully aligned with guidelines • Capture realistic, expert-level engineering workflows during screen recordings • Complete tasks efficiently while maintaining strict quality standards • Collect data that is scalable and usable for advanced AI research and development

• Design and build dynamic Webflow sites, including landing pages, blogs, and client portals using Webflow's CMS and animations. • Integrate third-party tools like HubSpot, Google Analytics, Zapier, and custom JavaScript for enhanced functionality. • Optimize sites for SEO, speed, and mobile responsiveness using Semrush and Google tools. • Collaborate on A/B tests and CRO experiments to boost user engagement. • Troubleshoot and maintain sites with HTML/CSS/JS tweaks and Figma handoffs. • Support marketing campaigns with rapid page deployments. • Integrate AI Capabilities: Connect Webflow projects with Large Language Model (LLM) APIs (specifically OpenAI/ChatGPT) to build dynamic, AI-powered user experiences. • API Optimization: Architect AI workflows to optimize for latency, token consumption, and cost-efficiency, ensuring fast and reliable responses. • Component Development: Understanding of Storybook for building, testing, and documenting UI components in isolation is a plus.