Full job description
Nexxen is seeking a Senior Software Engineer to design and build core components of its Demand Side Platform (DSP) for real-time programmatic advertising. The role involves developing high-throughput, low-latency distributed systems processing billions of bid requests daily with sub-100ms latency. Responsibilities include building and optimizing real-time bidding services, architecting microservices and event-driven systems, integrating with external SSPs and ad servers using OpenRTB and VAST, developing APIs for partner integrations, troubleshooting performance, implementing caching with Redis and MongoDB, monitoring system performance, collaborating with cross-functional teams, providing technical leadership, mentoring junior engineers, and maintaining scalable backend services. Required qualifications include 5+ years of experience in large-scale distributed systems, strong programming skills in Java or Scala, familiarity with programmatic advertising ecosystems, RTB protocols, distributed systems concepts, streaming technologies like Kafka or Kinesis, containerization with Docker and Kubernetes, SQL and NoSQL databases, microservices, REST/gRPC APIs, debugging, CI/CD pipelines, Linux environment, and strong communication and problem-solving skills. The position is full-time, based in New York or Baltimore offices, with a hybrid work schedule (3 days in office). Salary range in New York is $170,000 - $200,000. Benefits include medical, dental, vision, disability insurance, 401(k), EAP, parental leave, discretionary time off, and company-paid holidays.
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 evaluating targeting rules, campaign budgets, and bidding strategies in real time
- Architect microservices and event-driven systems supporting 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 and MongoDB
- 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, maintainable code adhering to software engineering best practices
- Analyze data to drive decision making and assess the impact of system changes
- Continuously improve development process and share knowledge within the team
- Follow agile methodologies and work in a fast-paced environment with quickly visible results
Requirements
- 5+ years of software engineering experience building large-scale distributed systems
- Experience taking ownership of features/functionality and delivering end-to-end projects
- Strong programming skills in 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 with SQL and relational databases 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
Tech stack
JavaScalaRedisMongoDBKafkaKinesisDockerKubernetesSQLAerospikeCassandraKeyDBREST APIsgRPCGitGitLabLinux
Benefits
Medical insuranceDental insuranceVision insuranceDisability insurance401(k) retirement planEmployee Assistance Program (EAP)Parental leaveDiscretionary time offCompany-paid holidays