Senior Software Engineer - Performance Pacing

kotlinpythonrustpysparkkafkagcpawslinuxgitci/cdopenrtbdspdistributed systemsmicroservicesad deliveryconnected tvai tools

Key details

Salary

Not specified

Employment type

Full-time

Seniority

Senior

Years experience

5-10

Location

Remote

Full job description

Design, build, and maintain Kotlin APIs and backend services for distributed pacing and ad delivery systems. Own infrastructure driving optimization decisions across campaigns. Provide technical leadership through peer reviews and mentorship. Scale microservices for high performance and reliability. Optimize existing services for performance and maintainability. Collaborate with Business and Project Leads to translate business requirements into scalable solutions. Requires 5+ years experience with Kotlin and Python distributed systems, expertise in relational and non-relational databases, microservices architecture, familiarity with Rust, PySpark, Kafka, cloud platforms (GCP or AWS), Linux/UNIX, Git, CI/CD. Product mindset and enthusiasm for AI tools. Exposure to OpenRTB, DSP, or ad delivery optimizations is a plus.

What you'll do

Design, build, and maintain Kotlin APIs and backend services that power MNTN’s distributed pacing and ad delivery systems
Own critical infrastructure that drives optimization decisions across multiple campaigns and audiences
Raise the bar for engineering quality and team culture through peer reviews, mentorship, and strong technical leadership
Scale out microservices to ensure high performance and reliability
Continuously optimize and evolve existing services for better performance and maintainability
Collaborate cross-functionally with Business and Project Leads to communicate complex technical concepts and translate business requirements into scalable solutions

Requirements

5+ years of experience building distributed systems using Kotlin and Python
Expertise in non-relational and 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 data platforms like PySpark
Familiarity with Kafka or other 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, with curiosity 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: exposure to OpenRTB, DSP, or ad delivery optimizations