Senior Software Engineer: Scalable Cloud & Observability

The Walt Disney Company

New York (NY)

On-site

USD 149,000 - 199,000

Full time

13 hours ago

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Job summary

Disney Entertainment and ESPN Product & Technology is seeking a highly skilled Senior Software Engineer in NYC to design, develop, and deploy scalable software using Scala and backend languages. You will work with AWS, Kubernetes, and modern DevOps, contributing to cloud-native platforms powering Disney’s media ecosystem.

The role emphasizes distributed systems, observability with Datadog, and collaboration with product managers, UI/UX, and DevOps.

Qualifications

Degree in Computer Science, Electrical Computer Engineering or similar field.
5+ years of experience in software development, with a focus on Functional Programming Scala stacks.
Hands-on experience with AWS cloud services and Kubernetes for container orchestration.
Strong understanding of RESTful APIs, Microservices Architecture, and Event-Driven Architecture.
Strong problem-solving skills, attention to detail, and the ability to work in a collaborative, fast-paced environment.
Experience with: Functional Programming Languages
Scala (preferred) using ZIO, Cats, Cats Effect
Others considered - Modern RX Java, Kotlin, Clojure/Lisp, Haskell, OCaml, Elm, Typescript Effect
AWS, Cloudformation, Terraform or similar technologies.
Experience in Istio and Spinnaker
Full software development lifecycle experience - including maintenance after release.
Experience in Agile software development practices and version control systems (e.g., Git, Jira)

Responsibilities

Development: Design, develop, and maintain scalable, secure, and efficient software applications using Scala and other backend languages.
Cloud Infrastructure: Utilize AWS services (CFN, EC2, Lambda, S3, Dynamo, etc.) to deploy and manage applications in the cloud.
Containerization & Orchestration: Implement containerized solutions using Docker, deploy and manage services on Kubernetes.
Distributed Systems: Design and build distributed systems that are fault-tolerant, highly available, and scalable. Understand concepts such as event-driven architecture, microservices, and data consistency.
Observability & Monitoring: Implement and maintain observability best practices, including tagging, metrics, and logging to provide comprehensive visibility into system performance. Use tools like Datadog to monitor the health and performance of applications in real-time.
Collaboration: Work closely with cross-functional teams including product managers, UI/UX designers, and DevOps engineers to define requirements, design systems, and deliver features.
Code Quality & Best Practices: Write clean, maintainable, and testable code while following best practices for software development. Perform code reviews and provide mentorship to junior engineers on and offshore.
Problem-Solving & Innovation: Tackle complex technical challenges and continuously seek opportunities to improve system performance, scalability, and reliability.AI Best Practices: Follow team’s best practices regarding the safe use of LLMs and suggest improvements as appropriate.