Job Requirements

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 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).

• Proficient with Git-based code management (GitHub, GitLab) and modern branching workflows.

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.

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.

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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