
201 - 500 employees
Founded 2006
📱 Media
🤝 B2B
☁️ SaaS
Media • B2B • SaaS
Eskimi is a global creative media and adtech platform that helps brands connect with the right audiences using programmatic, rich media, and data-driven advertising solutions. The company operates a technology-driven advertising platform and provides campaign, analytics, and creative media services for marketers and agencies across multiple international markets. Eskimi also highlights company culture, growth opportunities, and hybrid/remote roles in its global teams.
🕒 May 6
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201 - 500 employees
Founded 2006
📱 Media
🤝 B2B
☁️ SaaS
Media • B2B • SaaS
Eskimi is a global creative media and adtech platform that helps brands connect with the right audiences using programmatic, rich media, and data-driven advertising solutions. The company operates a technology-driven advertising platform and provides campaign, analytics, and creative media services for marketers and agencies across multiple international markets. Eskimi also highlights company culture, growth opportunities, and hybrid/remote roles in its global teams.
• Build and ship features on our real-time bidding platform - performance and correctness are non-negotiable • Use AI tools hands-on to ship code faster — own what you build end-to-end • Contribute to rewriting and modernizing parts of our legacy platform using AI tooling • Work across the full stack when needed — backend engineers are engaged beyond the API boundary • Help shape how the team works with AI day-to-day – workflow improvements and performance enhancement
• 4+ years of backend engineering experience in a compiled, statically-typed language - Java, Kotlin, Go, Rust, C#, or Scala • Comfortable with distributed systems: consistency trade-offs, failure modes, async processing • Experience with relational databases and at least one in-memory or NoSQL system (Redis, Aerospike, Cassandra, etc.) • You've shipped things to production and kept them running - monitoring, alerting, on-call mindset • Working experience with Git, testing strategies, and CI/CD pipelines • AI & LLM Experience: Built and deployed at least one LLM-powered feature in a real product • Knowledge of designing prompts for reliable output and eval strategy for AI features • Bonus: Experience with RAG pipelines, tool-calling agents, or vector databases
• Flexible work arrangements: Hybrid work models and remote work options • Work Away Days: Up to one month of fully remote work each year • Professional development opportunities: Programs for managers, mentorship, regular learning sessions • Recognition & rewards: Bonus programs and peer-to-peer recognition system • Additional perks: Private health insurance, volunteer days, team get-togethers, birthday day off
Apply Now🕒 May 5
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