About The Position
The MNTN Targeting Group helps brands reach the right customers with software that turns petabytes of data into meaningful audience targeting strategies. Our engineers, data scientists and analysts build software that serves content to millions of people every day. You'll be joining the team working on MNTN Matched, our flagship machine learning product that is a critical revenue driver for the business. As a Senior Backend Engineer, you’ll be deeply involved in developing and improving the core models and systems that power our targeting products. Your work will directly influence the quality, efficiency, and innovation of our targeting platform. MNTN provides advertising software for brands to reach their audience across Connected TV, web, and mobile. MNTN Performance TV has redefined what it means to advertise on television, transforming Connected TV into a direct-response, performance marketing channel. Our web retargeting has been leveraged by thousands of top brands for over a decade, driving billions of dollars in revenue. Our solutions give advertisers total transparency and complete control over their campaigns all with the fastest go-live in the industry. As a result, thousands of top brands have partnered with MNTN, including Tarte, Decked, and National University.
Requirements
- 5+ years of Java, Kotlin, or Scala development experience
- Comfort diving in to tech stacks outside your primary specialization
- A desire to understand the purpose and impact of the tools you build
- Strong proficiency in SQL, table design, indexing and other common database skills
- Integration of AI tools such as Cursor, ChatGPT and other LLM based copilots in your workflow
- Experience with Microservice style architecture
- Familiarity with Git and Linux/UNIX environments
- Experience on AWS, GCP, or other cloud infrastructure
Responsibilities
- Create and support Kotlin APIs and services to support our targeting distributed systems - the most critical component in our business
- Work in many environments, including languages and tools like Rust, PySpark, Kafka, and several RDBMSes
- Understand the broader context of our software beyond the components you build
- Raise the bar on our engineering culture, leading by example
- Build high volume services that are reliable at scale
- Work with enormous volumes of data (100s of TB daily)
- Collaborate with and explain complex technical issues to Product and Project Leads
- Optimize and enhance existing products
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
