Senior AdTech Engineer (Remote, Full-Time)

About Smart Working

Smart Working is committed to offering not just a job that looks good on paper but one that feels fulfilling daily. Our platform breaks down geographical barriers, connecting talented individuals with exceptional international teams for full-time, long-term roles. From your first day, you will join a supportive, growth-oriented community in a fully remote-first environment, continuously highlighted as one of the highest-rated workplaces on Glassdoor.

Role Overview

The Senior AdTech Engineer will play a pivotal role leading the advancement of our proprietary programmatic advertising platform, currently in its third version and actively used in production. The role is predominantly backend-focused (approximately 80%) while also involving some frontend responsibilities (about 20%). You will independently manage a vital section of the platform, collaborating closely with a data scientist and guiding the engineering team alongside the CTO. Your responsibilities will include hands-on coding, architectural decision-making, and providing technical leadership.

Key Responsibilities

• Develop and enhance backend systems and infrastructure supporting a programmatic ad platform, ensuring low-latency and high-throughput to handle ad requests processing within milliseconds.
• Create proprietary AI agents for media purchasing and distribution, working closely with data scientists to enrich ad request content and tagging.
• Integrate with external AdTech platforms and APIs such as OpenRTB, Demand-Side Platforms (DSPs), and Supply-Side Platforms (SSPs).
• Serve as a senior engineer guiding the team through code reviews, mentoring, and setting technical standards without direct line management responsibilities.
• Take full ownership of critical platform areas, collaborating tightly with the data science team and broader engineering staff.
• Employ architectural expertise and detailed attention to maintain platform reliability in a real-time bidding environment sensitive to latency and correctness.
• Shape integration of agentic AI processes within the platform.
• Adopt sound engineering practices including GitOps deployment workflows and a robust code review culture.
• Lead problem-solving efforts for proprietary tech development beyond mere specification adherence.
• Carefully refine and improve a live, performance-critical system to prevent disruptions.
• Oversee end-to-end design and implementation of services or components.
• Mentor engineers via code reviews and guidance to maintain high technical quality.

Required Qualifications

• Minimum 5 years of advanced backend development using Node.js.
• At least 3 years developing low-latency, high-throughput systems with millisecond response capabilities, applicable experience includes fintech, trading, banking, real-time gaming or betting backends.
• Over 1 year of hands-on experience creating agentic AI solutions for production, particularly LLM agents, working in concert with data scientists on machine learning models.
• 5+ years building APIs and integrating third-party services.
• At least 2 years conducting code and peer reviews, mentoring engineers, or serving as a senior individual contributor responsible for review standards.
• Minimum 3 years proficient in TypeScript or strong experience in modern JavaScript.
• At least 2 years working with React.
• Minimum 2 years experience on Google Cloud Platform or comparable cloud services like AWS or Azure.
• At least 2 years working with Kubernetes and Argo CD for GitOps deployments or alternatives such as Flux or Helm.
• Senior-level engineering or architectural capabilities including technical leadership and close collaboration with executive leadership (e.g., CTO).

Preferred Skills

• 2+ years experience in programmatic advertising involving OpenRTB, real-time bidding, DSPs, or SSPs; however, strong background in low-latency systems can substitute while domain terminology is acquired.
• Experience leading initiatives and handling full lifecycle service/component delivery.
• Basic knowledge of Golang or alternative high-performance programming languages such as Rust, Java, or C++.
• 1+ year working with Jenkins or equivalent CI/CD systems like GitHub Actions, GitLab CI, or CircleCI.
• 1+ year of experience with Grafana or monitoring systems such as Prometheus, Datadog, or New Relic.

Additional Information

Artificial intelligence tools may support aspects of recruitment like application screening or resume analysis, but these are adjuncts to human decision-making. Final hiring decisions rest with human recruiters. For inquiries on data processing, candidates may seek further details.