Note: The job is a remote job and is open to candidates in USA. Symitri is a company operating in the digital advertising, data, and privacy space. The Senior Software Engineer will design and optimize scalable, real-time systems for privacy-first ad targeting and audience modeling, while building high-performance infrastructure for programmatic advertising, predictive inference, and privacy-centric data flows.
Responsibilities
- Design and build low-latency, high-throughput systems for programmatic ad delivery
- Develop scalable microservices and APIs to support real-time bidding (RTB) workflows
- Ensure system reliability, fault-tolerance, and high availability across production environments
- Implement and improve RTB mechanics, auction logic, and bid prediction models
- Build and maintain data pipelines for campaign metrics, audience signals, and conversion tracking
- Build toward integrating with DSPs, SSPs, DMPs, and CDPs for real-time data activation, measurement and optimization across the programmatic supply-chain
- Monitor and improve response times, throughput, and reliability using real-time analytics
- Implement inference models, machine learning and predictive modeling techniques to improve targeting, budget allocation, and campaign effectiveness
- Ensure data integrity and consistency across high-volume streaming architectures
- Partner with product managers to define and deliver technical solutions that align with business goals
- Collaborate with data science and platform teams to deploy inference models and optimize performance
- Lead code reviews, contribute to system design discussions, and mentor junior engineers
Skills
- • 5+ years of software development experience in distributed, high-scale systems
- • Deep knowledge of programmatic advertising and ad tech protocols (OpenRTB, DSP/SSP/CDP/DMP stacks)
- • Proficiency in Python, Java, Scala, or Golang
- • Experience with containerized infrastructure (Docker, Kubernetes) and CI/CD pipelines
- • Familiarity with cloud platforms (AWS or Azure) and streaming data tools (Kafka, Spark, Flink)
- • Strong understanding of database systems (Redis, Cassandra, PostgreSQL, BigQuery)
- • Demonstrated ability to troubleshoot complex system issues in production environments
- • Experience working with ML inference models in production
- • Exposure to digital ad auction theory, bid optimization, or reinforcement learning
- • Familiarity with data privacy standards (GDPR, US State regs) and privacy-preserving data techniques
Benefits
- Equity
- Remote flexibility with NYC collaboration
- Excellent health, dental, vision, and wellness perks
Company Overview