Software Engineer II - AI Performance

ESPN; New York (NY); Presencial; USD 125.000 - 167.000; Jornada completa

Descripción de la vacante

Disney Entertainment and ESPN Product & Technology is seeking a Software Engineer II for the Reliability Insights team in New York. You will design and build data pipelines and automated ground-truth evaluation frameworks to quantify AI agent performance, drift, and incident mitigation in production.

You’ll bridge backend engineering with data-driven insights across Disney+, Hulu, and ESPN. You will partner with SRE, product, and platform teams to reduce alert noise, establish standards, and

Formación

• 3+ years in backend and data pipeline engineering.
• Experience with data platforms and distributed processing.
• Understanding of model evaluation concepts (precision, recall, drift).
• Experience with GitHub, containers (Docker), and cloud deployments (AWS/EKS).
• Proficiency with AI-assisted development tools to boost velocity.
• Strong analytical skills translating telemetry to insights.

Responsabilidades

• Design, build, and maintain automated data pipelines and APIs for AI observability.
• Develop evaluation frameworks to track model precision, recall, and drift.
• Link AI outputs to incident lifecycles and measure business impact.
• Create dashboards and metrics showing AI ROI and reliability to leadership.
• Capture end-user feedback to improve real-world usage signals.

Conocimientos

Backend & data pipeline engineering

Data platform engineering

Model evaluation concepts

GitHub, CI/CD

Docker, cloud deployments

AI-assisted development tools

Analytical skills

Cross-functional collaboration

Educación

Bachelor’s degree in Computer Science, Engineering, or equivalent

Herramientas

PySpark

SQL

Pandas

Databricks

Snowflake

GitHub

Docker

AWS/EKS

Descripción del empleo

Disney Entertainment and ESPN Product & Technology

Technology is at the heart of Disney’s past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally.

The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world.

Here are a few reasons why we think you’d love working here:

• Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come.
• Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally.
• Innovation: We develop and implement groundbreaking products and techniques that shape industry norms and solve complex and distinctive technical problems.

Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity.

The Observability & Insights group ensures that Disney Streaming’s distributed systems are reliable, performant, and transparent. We build the telemetry, dashboards, alerting, insights pipelines, and developer experience tooling that enable engineers across the organization to understand system health and take action quickly.

Job Summary

As a Software Engineer II on the Reliability Insights team, you will design and build data and reporting pipelines that evaluate and prove the real‑world performance, precision, and business impact of Disney’s operational AI and observability tools. You will bridge backend engineering and data‑driven insights, transforming raw telemetry, AI agent interactions, and operational logs into clear metrics around AI reliability, model drift, and incident mitigation.

In this role, you will build automated ground‑truth pipelines and model evaluation frameworks that quantify how effectively AI agents and anomaly models perform in production. You will capture end user feedback, correlate AI signals with incident resolution timelines (e.g., Mean Time to Mitigation), and build single pane dashboards for engineering and leadership. Partnering closely with SRE, product, and platform engineering teams, you will eliminate visibility gaps, reduce alert noise, and establish clear standards for AI model performance across Disney+, Hulu, and ESPN.

Responsibilities

• Design, build, and maintain automated feedback pipelines that capture operational outcomes (confirmed incidents, false positives, dismissed alerts) and correlate them directly back to AI model predictions and agent actions.
• Develop programmatic evaluation frameworks to track model precision, recall, and drift over time, establishing automated threshold alerts to proactively trigger model tuning and prevent alert fatigue.
• Build end‑to‑end data pipelines linking AI outputs to incident lifecycles, quantifying business impact through metrics such as Service to Incident correlation, notification success rates, and Mean Time to Mitigation (MTTM).
• Design and deploy scalable APIs, metrics layers, and single‑pane model health dashboards that present clear AI ROI, operational health, and performance narratives to leadership and technical stakeholders.
• Build mechanisms to capture structured feedback from end users to continuously feed real‑world usage signals back into model improvement cycles.

Basic Qualifications

• 3+ years of applicable experience in backend and data pipeline engineering, including building scalable APIs (e.g., FastAPI, Flask) and metrics/insight generation platforms.
• Strong experience with data platform engineering and distributed processing tools (e.g., PySpark, SQL, Pandas, Databricks, Snowflake) to process and analyze telemetry data.
• Practical understanding of model evaluation concepts, such as precision, recall, model drift, and ground‑truth labeling systems.
• Hands‑on experience with modern development practices, including version control (GitHub), containerization (Docker), and cloud‑native deployments (AWS/EKS).
• Proficiency with AI‑assisted development tools (e.g., Cursor, Claude Code) to accelerate engineering velocity.
• Strong analytical skills to translate complex system telemetry and operational logs into meaningful reliability metrics and business insights.
• Excellent cross‑functional collaboration and communication skills, with a track record of partnering with operational teams (SRE, DevOps) to turn raw data into actionable insights

Preferred Qualifications

• Experience with observability, telemetry, and monitoring platforms (e.g., Datadog, Grafana, Conviva).
• Familiarity with agentic workflows and foundation models (e.g., GPT-4, Claude) and how to evaluate their output accuracy.
• Knowledge of incident management workflows and SRE metrics (e.g., MTTR, MTTD, alert suppression).
• Prior experience working on data attribution, metrics aggregation, or financial/performance visibility tooling in high scale environments.

Required Education

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience

The hiring range for this position in New York, NY is $124,900.00 to $167,400.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job‑related knowledge, skills, and experience among other factors. A bonus and/or long‑term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Disclaimer

This position is with Disney Entertainment & Sports LLC, which is part of a business we call Disney Entertainment and ESPN Product & Technology.

Disney Entertainment & Sports LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world.

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