Sr. Software Engineer - Python at MNTN

United States

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Advertising, Connected TV, TechnologyIndustries

Requirements

5+ years of experience building distributed systems (preferred Kotlin, Python)
Expertise in non-relational & relational databases, including SQL, schema design, indexing, and performance tuning
Demonstrated experience with microservices architecture in production environments
Comfort working across tech stacks, including systems written in Rust, Python, and/or data platforms like PySpark
Familiarity with high-throughput messaging systems
Practical experience on cloud platforms such as GCP or AWS
Strong understanding of Linux/UNIX environments and developer tooling (e.g., Git, CI/CD)
A product mindset, curious about how your work impacts customers and how systems perform at scale
Enthusiastic about using AI tools in your workflow to enhance productivity
Big plus if you have any exposure to OpenRTB, DSP, Ads delivery optimizations

Responsibilities

Build and maintain backend services that power MNTN’s distributed pacing and ad buying systems
Take extreme ownership — spot issues before they become problems, and drive them all the way to done
Analyze oceans of data, detect anomalies, and make informed, data-driven improvements
Scale microservices that perform beautifully at ridiculous load levels
Continuously refine and evolve services for speed, reliability, and maintainability
Collaborate across business, project, and ML teams to translate complex logic into systems that just work
Raise the bar for engineering quality through mentorship, thoughtful code reviews, and technical leadership

Skills

Python

Backend Engineering

Machine Learning

Real-time Systems

Bidding Algorithms

Performance Optimization

Auctions

Distributed Systems

MNTN

AI-powered Connected TV advertising platform

About MNTN

With its pioneering Connected TV Performance Marketing Platform, MNTN stands out for blending advanced AI with its unique Verified Visits™ attribution model to make advertising seamless for brands. This approach offers a cutting-edge solution for measuring viewer engagement and effectiveness of ad campaigns in the evolving landscape of television advertising. The company fosters a culture of innovation and industry leading practices that make it an excellent place to work for those interested in the forefront of advertising technology.

Austin, TX, USAHeadquarters

2009Year Founded

$197.5MTotal Funding

SEEDCompany Stage

Data & AnalyticsIndustries

501-1,000Employees