Senior Platform Engineer

🏢 Edo · 📍 Los Angeles; New York; Remote; San Francisco · 💼 hybrid 💰 $170,000 - $190,000 / yr

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Position Summary & Responsibilities

Who We Are

EDO is the TV outcomes company. Our measurement platform connects convergent TV airings to the ad-driven consumer behaviors most predictive of future sales, helping advertisers, agencies, networks, streamers, and studios understand what works across linear and streaming TV.

We combine immediate engagement signals with decision science, vertical AI, and investment-grade data to help the advertising industry maximize media impact, optimize creative performance, and value every impression. EDO is headquartered in New York City and Los Angeles with office space in San Francisco. For employees residing full-time in NYC, SF, or LA, we have a hybrid work policy of three days in the office and two remote work days.

The Role

EDO is looking for a Senior Platform Engineer to help accelerate our shift toward a platform model. This is a senior IC role on the Infrastructure team focused on paved paths, reusable infrastructure patterns, and self-service workflows that help software, data, and machine learning engineers ship safely and efficiently.

Our environment is AWS-heavy and data-intensive, with heavy use of EC2, RDS, S3, SageMaker, MWAA/Airflow, Snowflake, dbt, Chef, Terraform, Spacelift, and emerging ECS/container patterns. The right person has strong AWS and infrastructure-as-code fundamentals, prior exposure to platform engineering practices, and the pragmatism to modernize existing systems without assuming everything should be rebuilt from scratch.

We approach infrastructure as an internal product: understanding engineers’ needs, prioritizing high-leverage platform capabilities, and iterating on tools and workflows that make teams faster, safer, and more self-sufficient.

What You Will Do

Build and evolve EDO's internal platform capabilities: paved paths, reusable infrastructure modules, deployment standards, documentation, and self-service workflows.
Own and improve Terraform and Spacelift-based infrastructure workflows, including module design, reviews, approvals, drift detection, and guardrails.
Modernize existing AWS infrastructure, including EC2- and Chef-based systems, while helping teams adopt more standardized and repeatable patterns over time.
Support production data and ML platform infrastructure, including MWAA/Airflow, Snowflake, dbt, SageMaker, S3, RDS, and related AWS services.

🎯 Candidate Preparation Guide For Edo Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

The core evaluation tests your ability to convert massive, complex TV and digital engagement datasets into clear, actionable revenue-driving intelligence for major brands and networks.

📋 Preparation Priorities (Key Areas to Clarify):

1. Getting lost in data complexity without tying analytics to commercial business outcomes.
2. Inability to defend statistical methodologies against skeptical enterprise buyers.
3. Slow-moving analytical approach that cannot keep pace with real-time media consumption trends.

✨ Recommended Role Alignment Hook:

I transform massive TV and digital engagement datasets into definitive currency that brands use to optimize their entire media spend.

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