SplitMetrics is a global software company offering an ecosystem of products and services that serve as a growth engine for top mobile-first businesses worldwide. Our ecosystem includes: - SplitMetrics Acquire, a platform for automating and optimizing Apple Ads. - SplitMetrics Agency, a full-service mobile marketing agency staffed by top experts. - SplitMetrics Optimize, an A/B testing platform recognized as the ASO Tool of the Year. - App Radar by SplitMetrics: an ASO platform with advanced keyword and competitor insights. WHY SPLITMETRICS? - For over 11 years, we’ve been at the forefront of the mobile marketing industry, building an ecosystem of market-leading technologies. - An Apple Ads Partner, SplitMetrics is the 1st company to build the Apple Ads management platform. - Working with top mobile companies and brands globally: Skyscanner, Glovo, Flo, Babbel, Wooga and many more. - Generating an impressive transaction volume, with over $1 billion in ad spend flowing through our ecosystem. - Integrated AI into our strategic approach since 2023. - Effectively collaborate across 20+ countries with a remote-first and supportive culture. We’re looking for the Backend Engineer who’ll join SplitMetrics team and will be working on high-load and data-intensive system. In this role you will: - Scrape various API’s on an industrial scale (TB’s/day) - Build backend services using Python, focusing on high-load, data-intensive systems, and optimizing data pipelines and analytics. - Write and review code for quality, security, and best practices across the backend components. - Implement automated testing (unit, e2e) and participate in CI/CD processes. - Monitor, troubleshoot, and improve system stability and performance. About you: - 4+ years experience with Python, with deep expertise in building high-load, scalable systems. - Strong SQL skills, including performance tuning and optimization. - Experience developing microservices, data pipelines, and analytics solutions. - Familiarity with modern CI/CD practices and tools (GH). Ability to refactor legacy code and migrate to modern tech stacks. - Eager to automate everything (including ad-hoc). - Strongly focused on system observability and troubleshooting. - Huge CLI fan. - Have B1+ English level knowledge. - Being a macOS / iOS power-user is a huge advantage. - Experience developing iOS apps is a plus as well (could be a hobby, automated testing is S+). WHAT IS THERE FOR YOU? - Time Off: Vacation and public holidays following your country's regulations. Additional PTOs annually for personal rejuvenation. - Health and Wellness: Medical insurance or health care compensation. Paid sick leave to prioritize your well-being. - Professional Development: Top online/offline conferences and mobile industry events. Internal courses for continuous professional development. - Performance and Growth: Micro-management-free and supportive management style. Semi-annual performance review sessions. New career opportunities through our internal mobility program. - Team Engagement: Corporate online events and offline team retreats. Collaboration between teams through shared OKRs. Environment conducive to open dialogue and constructive feedback. - Work Flexibility: Flexible working schedule for a better work-life balance. Remote-first working environment. - Workspace Options: Coworking costs coverage program. Office hubs in key locations for a convenient and productive work environment. OUR CULTURE At SplitMetrics, our values are not just words — they guide everything we do. To achieve our ambitious goals and maintain success, we stand united by our core behaviors: - Move Fast - Get Sh*t Done - Build Together - Strive for Transparency - Own What You Do - Learn + Share = Excel Remote Hiring Guidelines: At SplitMetrics, we welcome team members from various countries. While all our roles are remote, certain positions may have specific eligibility requirements based on location. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.

Backend Engineer (Python) - Data

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