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OnSpot Data

Lead Full-Stack Engineer

Reposted 22 Days Ago
In-Office or Remote
Hiring Remotely in Denver, CO, USA
120K-180K Annually
Mid level
In-Office or Remote
Hiring Remotely in Denver, CO, USA
120K-180K Annually
Mid level
Design and maintain full-stack applications for AdTech, develop scalable backend services, and integrate AI/ML models while optimizing systems for performance and compliance.
The summary above was generated by AI

Full Stack Developer (AdTech Focus)

About the Role

We’re looking for a Full Stack Developer with strong experience building scalable, data-driven web applications and a deep interest in advertising technology. You’ll work across the stack to design, build, and optimize systems that power digital advertising workflows—such as audience targeting, ad serving, attribution, reporting, and real-time analytics. You will also help us leverage AI and machine learning to build smarter, more predictive advertising systems.

This is a fully remote role. This role sits at the intersection of engineering, data, media, and AI, and is ideal for someone who enjoys solving complex problems at scale in a fast-moving AdTech environment.

What You’ll Do

  • Design, build, and maintain full-stack applications supporting AdTech use cases (campaign management, targeting, attribution, measurement, reporting)
  • Develop scalable backend services and APIs for high-volume, low-latency data processing
  • Build intuitive, performant front-end experiences for internal tools and customer-facing dashboards
  • Work with large datasets including event streams, impression logs, and conversion data
  • Collaborate with product, data, and analytics teams to translate advertising requirements into technical solutions
  • Optimize systems for performance, reliability, and scalability under real-time traffic
  • Implement data privacy, consent, and compliance considerations (GDPR, CCPA, etc.)
  • Participate in architecture decisions, code reviews, and technical roadmap planning
  • Integrate AI/ML models and pipelines into advertising products (e.g., predictive bidding, audience modeling, anomaly detection)

 

Required Qualifications

  • 3+ years of experience as a Full Stack Developer or Software Engineer
  • Strong proficiency in modern backend languages and frameworks (e.g., Scala, Python, Java)
  • Experience building APIs (REST and/or GraphQL)
  • Strong front-end experience with modern frameworks (Vue, React)
  • Solid understanding of relational and NoSQL databases (Postgres, MySQL, etc.)
  • Experience working with cloud platforms (AWS, GCP, or Azure)
  • Familiarity with event-driven architectures, message queues, or streaming platforms (Kafka, Pub/Sub, Kinesis)
  • Strong problem-solving skills and ability to work independently in a fast-paced environment

AdTech / Domain Experience (Strongly Preferred)

  • Experience in AdTech, MarTech, or media platforms
  • Understanding of digital advertising concepts such as:
    • DSPs, DMP’s, SSPs, ad exchanges
    • Audience targeting and segmentation
    • Attribution models and measurement
    • Programmatic, CTV, mobile, and location-based advertising
  • Experience working with large-scale event data (impressions, clicks, conversions)
  • Familiarity with identity, cross-device graphs, or ID resolution
  • Knowledge of privacy-safe data handling and consent frameworks

Nice to Have

  • Experience with real-time bidding (RTB) systems
  • Data engineering experience (ETL pipelines, Spark, BigQuery, Redshift)
  • Experience with feature flags, A/B testing, or experimentation platforms
  • Familiarity with CI/CD pipelines and infrastructure as code
  • Prior work in high-scale, high-throughput systems

What We Offer

  • Opportunity to work on cutting-edge advertising technology at scale
  • Competitive salary and equity (if applicable)
  • Flexible work environment
  • Collaborative, engineering-driven culture
  • Real ownership over architecture and product direction

 

HQ

OnSpot Data Boulder, Colorado, USA Office

Canyon Road, Boulder, CO, United States, 80112

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