Job Requirements

Job Title: Senior Software Engineer I- AI ops

Role Overview

This senior-level role sits at the intersection of full-stack software engineering and IT operations. The engineer will design, develop, and maintain the tools, platforms, and automation that power observability and AIOps capabilities within DTOC’s 24x7 operations environment. Leveraging SRE and DevOps best practices, this role drives the intelligence and automation that keeps Disney’s technology ecosystem running reliably at scale — while mentoring junior engineers and contributing to platform strategy.

Key Responsibilities

• 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, write tests, and debug code across all environments.
• Support on-call rotation for platform stability and incident response for owned tooling.

Basic Qualifications

• Bachelor's degree in Computer Science or a related field, or equivalent work experience.
• 3+ years of professional software engineering, primarily in Python.
• Has built and deployed at least one feature on a hosted LLM API (AWS Bedrock, Anthropic, OpenAI), including retrieval or tool calling.
• Experience with REST APIs and SQL databases.
• Working experience with AWS, Docker and CI/CD pipelines.
• Working understanding of observability: metrics, logs and traces.
• Grounding in ML fundamentals and the underlying math.
• Security fundamentals: authentication, authorization, secrets handling, input validation and prompt injection.

Preferred Qualifications:

• ServiceNow development (Table API, CMDB/CSDM) and ITIL 4.
• Splunk, Datadog, or Prometheus and Grafana.
• MCP, agent frameworks, and evaluation frameworks such as LLM-as-a-judge.
• Kubernetes, TypeScript/Node.js, MLflow or SageMaker.
• A current certification such as: AWS Generative AI Developer, Professional; AWS Machine Learning Engineer, Associate; Databricks Generative AI Engineer Associate; Microsoft Azure AI App and Agent Developer Associate (AI-103); Microsoft Machine Learning Operations Engineer Associate (AI-300); or Anthropic Claude Certified Developer or Architect.

Core Competencies

• 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

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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