Software Engineer - DSP Runtime

Senior Software Engineer

Nexxen empowers advertisers, agencies, publishers, and broadcasters around the world to utilize data and advanced TV in the ways that are most meaningful to them. Our flexible and unified technology stack comprises a demand-side platform ("DSP") and supply-side platform ("SSP"), with the Nexxen Data Platform at its core.

We are seeking a Senior Software Engineer to design and build core components of our Demand Side Platform (DSP) that powers real-time programmatic advertising. The role focuses on developing high-throughput, low-latency distributed systems capable of processing billions of bid requests per day while delivering optimized bidding decisions within strict latency constraints. You will experiment with new and innovative technologies designed for Programmatic Ad serving and Ad Tech solutions.

You will work on the core bidding infrastructure, targeting systems, and integrations with supply partners to drive efficient ad delivery and maximize campaign performance.

This role will be based in our NY or Baltimore local office. Our team follows a hybrid schedule, working in the office three days a week and remotely for the rest.

What You'll Do:

• Design and develop high-performance distributed systems handling large-scale bid request traffic with sub-100ms latency requirements.
• Build and optimize real-time bidding (RTB) services that evaluate targeting rules, campaign budgets, and bidding strategies in real time.
• Architect microservices and event-driven systems that support billions of daily ad transactions.
• Build systems to support server-side auctions and bid optimization strategies.
• Integrate with external Supply Side Platforms (SSPs), exchanges, and ad servers using industry standards such as OpenRTB and VAST.
• Develop robust APIs and connectors for partner integrations and supply onboarding.
• Troubleshoot and optimize integration performance with external ad tech platforms.
• Optimize systems for extreme throughput, low latency, and high reliability.
• Implement efficient caching layers and in-memory data stores using technologies such as Redis, MongoDB, etc.
• Monitor and improve system performance through observability, load testing, and capacity planning.
• Collaborate with product managers, ad operations, and partner engineering teams to deliver new platform capabilities.
• Provide technical leadership in architecture reviews, system design, and performance optimization.
• Mentor junior engineers and contribute to engineering best practices across the organization.
• Develop and maintain reliable, scalable, and efficient backend services using modern technologies and frameworks.
• Write high-quality, well-tested code that is maintainable and adheres to best practices in software engineering.
• Analyze data to drive decision making and assess the impact of system changes.
• Take ownership of your personal development by keeping up with the latest backend technologies, tools, and best practices. Continuously improve the development process and share knowledge within the team.
• Follow agile methodologies and work in a fast-paced environment where results are quickly visible.

What You'll Bring:

• 5+ years of software engineering experience building large-scale distributed systems.
• A history of successfully taking ownership of features/functionality and delivering end-to-end projects.
• Strong programming skills in languages such as Java, Scala or similar language.
• Experience building low-latency, high-throughput services handling large volumes of requests.
• Familiarity with programmatic advertising ecosystems, including DSP, SSP, and ad exchanges.
• Experience implementing or integrating real-time bidding (RTB) protocols.
• Solid understanding of distributed systems concepts such as horizontal scaling, caching, load balancing, and fault tolerance.
• Familiar with real-time streaming technologies like Kafka or Kinesis
• Familiar with Docker and Kubernetes for containerization and orchestration
• Practical experience working with SQL and relational databases (RDBMS), as well as No
  
  SQL databases like Aerospike, Cassandra, Redis, or KeyDB
• Experience with microservices architectures, REST/gRPC APIs, and asynchronous processing.
• Strong debugging and performance optimization skills.
• Comfortable using version control systems like Git and managing CI/CD pipelines with Git Lab or similar platform
• Experience working within a Linux environment
• Strong verbal and written communication skills
• Strong analytical and problem-solving abilities

In support of pay transparency and equity, the minimum and maximum full-time annual base salary for this role in New York is $170,000 - $200,000 at the time of posting. While this is our reasonable expectation this is not a guarantee of compensation or salary, actual compensation is influenced by a wide range of factors including but not limited to skill set, level of experience, education, certifications, responsibility, and geographic location.

Candidates hired to work in other locations will be subject to the pay range…