Job Requirements

Job Title: Senior AI Ops Software Engineer (Observability & AIOps)

Department Description:

At Disney, we’re storytellers. We make the impossible, possible. The Walt Disney Company (TWDC) is a world-class entertainment and technological leader. Walt’s passion was to continuously envision new ways to move audiences around the world—a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news, movies and a variety of other businesses. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences — and we’re constantly looking for new ways to enhance these exciting experiences.

The Enterprise Technology mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross-company collaborative innovation. Our group drives competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence.

Team Description:

We are looking for a Senior AI Ops Software Engineer to join Enterprise Technology & Data and the Disney Technology Operations Center (DTOC). This senior-level role sits at the intersection of full-stack software engineering and IT operations. You will design, develop and maintain the tools, platforms and automation that power observability and AIOps capabilities within DTOC’s 24x7 operations environment.

Using SRE and DevOps best practices, you will drive the intelligence and automation that keeps Disney’s technology ecosystem running reliably at scale. You will also mentor junior engineers and contribute to platform strategy.

What You’ll Do:

• Design and develop full-stack observability tools, dashboards and automation pipelines, including Angular-based UIs for Systems Engineers and IT professionals.
• Build and maintain AIOps applications, including anomaly detection, alert correlation and predictive analytics.
• Develop and maintain RESTful APIs and microservices (NodeJS, TypeScript, Express) to support operational data ingestion and processing.
• Integrate with enterprise monitoring platforms such as DataDog, BigPanda, Splunk, ServiceNow and PagerDuty.
• Apply SRE best practices to build and operate large-scale, distributed, fault-tolerant systems, with a focus on reducing toil through automation.
• Implement and fine-tune machine learning models for IT operational use cases.
• Participate in architecture reviews and contribute to platform roadmap decisions.
• Collaborate with DTOC operations teams to translate pain points into scalable engineering solutions.
• Contribute to CI/CD pipelines and DevOps practices for reliable, scalable deployments.
• Write code, review peers’ code, mentor junior- to mid-level engineers, write documentation and tests, and debug code across all environments.
• Support the on-call rotation for platform stability and incident response for owned tooling.

Required Qualifications & Skills:

• Bachelor’s degree in Computer Science or a related field, or equivalent work experience.
• 5+ years of experience building highly scalable, high-impact software components and/or client-facing web applications.
• Strong proficiency in Python and/or JavaScript/TypeScript (NodeJS, Express).
• Demonstrated proficiency with UI development using Angular, JavaScript and TypeScript.
• Hands-on experience with observability concepts: metrics, logs, traces, dashboards and alerting.
• Strong experience with Object-Oriented design principles, patterns and coding best practices.
• Demonstrated proficiency with SDLC concepts, CI/CD pipelines and test-driven development.
• Strong experience with cloud infrastructure, particularly AWS (EC2, Lambda, API Gateway, ElastiCache, ECS/EKS/ECR, SNS, SQS).
• Experience with SQL and NoSQL databases (e.g., Aurora MySQL, DynamoDB).
• Familiarity with machine learning frameworks and libraries (e.g., scikit-learn, PyTorch, TensorFlow).
• Experience with containerization technologies (Docker, Kubernetes).
• Proficiency with Git-based code management (GitHub, GitLab) and modern branching workflows.
• Problem-solving mindset, with the ability to translate complex operational challenges into scalable technical solutions.
• Strong communication skills, able to work cross-functionally with operations, engineering and leadership teams.
• Comfort working in a fast-paced, 24x7 operations environment.
• Curiosity and commitment to staying current with AI/ML developments and applying them operationally.
• Demonstrated ability to mentor and develop junior and mid-level engineers.

Preferred Qualifications:

• TypeScript and NodeJS expertise strongly preferred.
• Experience working as a developer within an incident management or NOC/SOC environment.
• Experience with AIOps platforms (e.g., Moogsoft, BigPanda, Grafana, New Relic).
• Familiarity with large language models (LLMs) and prompt engineering for operational use cases.
• Experience integrating with ITSM platforms such as ServiceNow.
• Knowledge of time-series databases (InfluxDB, Prometheus, OpenTSDB).
• Experience with streaming data pipelines (Kafka, Kinesis or similar).
• Familiarity with observability standards such as OpenTelemetry.
• Strong knowledge of data structures (arrays, stacks, queues, maps, graphs) and when to apply them.
• Proven ability to take an abstract idea and architect a system to meet those needs.

Required Education:

• Bachelor’s degree in Computer Science or a related field.

This position is with Disney (India) Private Limited, which is part of a business we call The Walt Disney Company (Corporate).

To learn more about Disney's guidelines on the use of AI for candidates, click here.

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