Senior Software Engineer – Ad Tech

Senior Software Engineer – Ad Tech - Symitri

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Senior Software Engineer – Ad Tech

Remote / Hybrid (periodic NYC office collaboration)

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About the job

Title

Senior Software Engineer – Ad Tech

Location

Remote / Hybrid (periodic NYC office collaboration)

Type

Full-Time

The Role

We’re seeking a Senior Software Engineer to design and optimize scalable, real-time systems that power Symitri’s privacy-first ad targeting and audience modeling capabilities. You’ll help build the foundation for a high-performance platform capable of processing billions of daily ad requests, supporting programmatic buying, predictive inference, and privacy-centric data flows. This is a hands-on engineering role in a fast-paced environment—ideal for someone who thrives on performance tuning and system design at scale.

Key Responsibilities

Software Engineering & System Architecture

• 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

Ad Tech Integration & Optimization

• 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

Performance Tuning & Analytics

• 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

Collaboration & Team Leadership

• 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

What You’ll Bring to Symitri

• 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

Nice to Have

• 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

What Success Looks Like

• You deliver performant, scalable services that handle real-time traffic under load
• Your code and architectural choices elevate system reliability and maintainability
• You’re trusted across engineering and product teams as a technical problem-solver
• You help evolve Symitri’s ad platform to support cutting-edge targeting and analytics

Working at Symitri

At Symitri, you’ll find the freedom to experiment, the support to grow, and the challenge of solving real problems in the fast-moving digital advertising industry. We’re a mission-driven team with deep expertise across advertising, data, and privacy — and we’re building for impact without compromising on principles.

Benefits include

• Competitive salary + equity
• Remote flexibility with NYC collaboration
• Excellent health, dental, vision, and wellness perks
• A team that values candor, craft, and accountability

Compensation

$180,000 to $243,000

Compensation at Symitri is based on a range of factors, including job-related skills, experience, qualifications and worksite location. Final offers may vary from the listed range and are determined through a structured evaluation process to ensure equity and consistency.

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