TL;DR
Senior Software Engineer (AI): Developing global scale streaming and AI infrastructure for hirify.global Ads business with an accent on large scale data ingestion, machine learning integration, and cloud infrastructure optimization. Focus on designing and shipping new ad product features, optimizing performance and cost, and solving complex distributed system challenges.
Location: Onsite in Redmond or Mountain View, United States
Salary: $158,400–$258,000 per year depending on location
Company
hirify.global is a global technology corporation focused on software, AI, and cloud services, committed to inclusive culture and innovation.
What you will do
- Enhance and operate Product Ads cloud infrastructures on Azure including advertiser-facing APIs and large scale data ingestion.
- Design, implement, and ship new business features to improve ad products.
- Use machine learning and AI to detect and improve ads quality and optimize system performance and cost.
- Analyze data to drive technical design and feature roadmaps.
- Collaborate with customers to resolve escalations and live site issues.
Requirements
- Must be located within commuting distance to a hirify.global office in the U.S. with onsite work expected at least four days per week.
- Bachelor’s degree in Computer Science or related field with 4+ years of engineering experience or equivalent.
- Experience with C, C++, C#, Java, JavaScript, or Python.
- 2+ years experience in online advertising systems, big data pipelines, distributed systems, or related fields.
- Strong understanding of OOD, data structures, algorithms, big data processing, data streaming, and machine learning.
- Experience with .NET, NoSQL, Azure, Python, ClickHouse, AKS preferred.
Nice to have
- Master’s degree or additional years of experience in relevant fields.
- Experience with web search systems, information retrieval, and AB testing.
- Strong communication skills for collaboration across remote teams.
Culture & Benefits
- Inclusive work environment aligned with hirify.global values of respect, integrity, and accountability.
- Growth mindset and innovation-driven culture.
- Opportunities to work on cutting-edge AI and distributed computing technologies.
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