Senior Software Engineer

Who is Nexxen?
Flexible advertising, unified by data. 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.

Why join the Nexxen team?
With a global footprint, you can be part of a team that is transforming advertising through our creative, flexible and unified solutions. Employees hustle, commit and dedicate themselves to pillars that make up the Nexxen Way – the 3Cs - Customer Centric, Curious Mindset, Collaborative with No Ego.

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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.

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 NoSQL 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 GitLab 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 associated with that location. We offer a variety of benefits including medical, dental, vision, disability insurance, 401(k), EAP, parental leave, discretionary time off, and company-paid holidays. The specific programs and options available will vary depending on the state, start date, and employment type. Our Talent Acquisition team will be happy to answer any questions you may have.

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