Senior Software Engineer

MNTN

8h•Remote

About The Position

At MNTN, we put our people first, full stop. This allows our company culture to be defined by our team members and their shared values, like trust, ambition, quality, radical honesty, and compassionate leadership. It’s why we all really love working for the Hardest Working Software in Television™ (and also why we were named one of Ad Age’s Best Places To Work in 2025.) We pride ourselves on bringing unrivaled performance and simplicity to Connected TV advertising. Our self-serve technology makes running TV ads as easy as search and social, helping brands drive measurable conversions, revenue, site visits, and more. It’s what led MNTN to being named one of Fast Company's Most Innovative Companies in 2023. You can learn more about us and everything we do by visiting https://mountain.com/. We’re committed to innovation that empowers, not replaces. At MNTN, AI is a tool for growth, enhancing efficiency while keeping a people-first approach. Our goal is to streamline workflows and drive new solutions—without compromising the human element that makes our company great. So if wanting to do more, own more, and make a bigger impact comes naturally to you, then you may be the person we're looking for to join us in our next stage of growth. At MNTN, we're looking for a Senior Software Engineer for our Attribution squad, the team behind Verified Visits™, our proprietary attribution system that helps brands finally answer the age-old marketing question: "Did this actually work?" Spoiler: it did, and you'll be a part of the team making it happen. Our microservices handle hundreds of millions of requests per day, powering a real-time behavioral marketing platform that drives performance in cross-device advertising. We heavily utilize open source technology alongside in-house solutions to meet the low-latency demands of rapid-response advertising.

Requirements

5+ years of backend development experience, ideally in Kotlin (Java or Scala also welcome)
3+ years writing production SQL: query optimization, window functions, and schema design against large datasets
Experience designing and operating data pipelines with tools like SQLMesh, Airflow, dbt, or similar
Experience with cloud data warehouses (BigQuery preferred; Snowflake, Redshift, etc. also relevant)
Experience with microservice architectures running on Kubernetes (GKE preferred)
Experience with event streaming (Kafka or similar)
Python experience for scripting and pipeline work
Strong knowledge of modern design patterns and distributed systems fundamentals
Comfortable writing effective unit and integration tests with frameworks
Proficient with Git and a Linux/UNIX environment
Knowledge of NoSQL databases such as Cassandra (preferred)
Experience mentoring engineers and influencing technical direction across a team

Responsibilities

Design and build a robust attribution platform that reaches the right audience, anywhere, anytime
Build high-volume Kotlin services that are reliable at scale on GCP/GKE
Design and own data pipelines using SQLMesh, Airflow, and BigQuery to power attribution analytics and downstream products
Write and optimize SQL against large datasets for both production services and analytical workloads
Collaborate with and explain complex technical issues to product teams and partner engineering squads
Mentor engineers across the team and raise the bar on design, testing, and operational quality
Optimize and enhance existing services and pipelines