Principal, Software Engineer 2, System Engineering, Ad Sales

About the role

This is a New York City, NY, based position that works both in-office (2 days/week) and remotely.

Responsibilities

• Design, build, and evolve scalable Ad Tech platforms supporting campaign planning, ad routing, decisioning, delivery, measurement, reporting, and operational workflows.
• Own end-to-end technical architecture across application services, APIs, integrations, data flows, cloud infrastructure, networking, and platform operations.
• Ensure Ad Tech systems meet requirements for reliability, performance, scalability, security, resiliency, observability, and cost efficiency.
• Lead architecture and engineering patterns for AI-enabled Ad Tech capabilities, including GenAI assistants, multi-agent workflows, intelligent diagnostics, decision support, automation, and platform copilots.
• Define reusable AI architecture patterns, integration standards, governance guardrails, observability expectations, and production-readiness criteria.
• Define and improve CI/CD architecture for AI, deployment patterns, release automation, environment management, infrastructure-as-code practices, and quality gates.
• Drive engineering automation that improves delivery speed, system reliability, test coverage, security compliance, and operational consistency.
• Architect secure, resilient, and performant integrations across Ad Tech platforms, APIs, cloud services, partner systems, enterprise applications, and operational tooling.
• Apply strong networking fundamentals across connectivity, routing, DNS, load balancing, firewalls, proxies, latency, throughput, resiliency, and troubleshooting.
• Lead resolution of cross-system technical challenges spanning applications, infrastructure, networks, APIs, data movement, and downstream consumers.
• Set standards for architecture reviews, code quality, platform observability, automated testing, reliability engineering, documentation, and operational readiness.
• Participate in design and code reviews to elevate engineering quality, security, scalability, and maintainability across teams.
• Ensure production readiness through monitoring, alerting, incident response, capacity planning, resiliency testing, and continuous improvement practices.

Requirements

• Experience & Education: Bachelor's or Master's degree in Computer Science, Engineering, or related technical field; 5 – 7 years required, 7 – 10 years desired of progressive experience in system engineering and system architecture roles.
• Technical Skills: Strong expertise in technical architecture, distributed systems, platform engineering, API design, cloud-native services, and production operations; Deep understanding of Ad Tech platforms, advertising workflows, campaign lifecycle, delivery systems, measurement, reporting, and operational integrations; Knowledge of GenAI architectures, including LLMs, multi-agent systems, orchestration patterns, prompt engineering, evaluation, governance, and observability; Hands-on experience with CI/CD architecture, deployment automation, infrastructure as code, automated testing, release management, and engineering productivity tooling; Strong networking fundamentals, including routing, DNS, load balancing, firewalls, proxies, cloud networking, connectivity troubleshooting, latency, and resiliency patterns; Working knowledge of data flows, analytics platforms, and AI/ML lifecycle concepts as they relate to modern Ad Tech and intelligent platform capabilities.
• Leadership & Communication: Demonstrated ability to lead through influence, design, and technical execution; Strong written and verbal communication skills with ability to explain complex technical architectures, platform tradeoffs, AI patterns, and engineering decisions to technical and non-technical stakeholders; Proven track record of mentoring engineers and partnering effectively with product, architecture, operations, security, and business teams.
• Strategic Thinking: Proven ability to make strategic technical decisions considering long-term organizational impact; Experience with technology evaluation, vendor assessment, and build vs. buy analysis; Understanding of business drivers and ability to align technical solutions with business objectives.

Qualifications

• Experience in Media, Advertising, Ad Tech, or large-scale platform engineering environments.
• Prior ownership of revenue-impacting Ad Tech platforms, delivery systems, integration platforms, or operational engineering capabilities.
• Exposure to GenAI-enabled engineering, AI architecture, intelligent automation, developer productivity, or platform operations use cases.

Benefits

The Base Salary range displayed below reflects the minimum and maximum target salary for the position and work location(s) listed in the job posting US Labor Market Zone(s). Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

Pay

DIRECTV's compensation structure is designed to be market-competitive and fully supports efforts to attract and retain employees. It is the company's policy to offer pay that is competitive with other employers in the local market. Our salary ranges are determined by role, level, and location.

Schedule

This is a New York City, NY, based position that works both in-office (2 days/week) and remotely.