> Markdown version of [/jobs/ext/4536625-software-engineer-ii](https://www.wearedevelopers.com/jobs/ext/4536625-software-engineer-ii). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer II - **Company:** The Walt Disney Company - **Location:** New York, NY, United States - **Experience:** Experienced - **Salary:** $124,900.0 - $167,400.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Data Analysis, Systems Engineering, C++ (Programming Language), Client Server Models, Software Quality, Databases, Continuous Integration, Software Debugging, Distributed Systems, Github, Monitoring of Systems, Python (Programming Language), PostgreSQL, MySQL, Software Engineering, TypeScript, Rust (Programming Language), Datadog, ReactJS, Snowflake, Grafana, Cloudformation, AngularJS, Kubernetes, Information Technology, Data Management, Terraform, Splunk, New Relic (SaaS), Software Version Control, Data Pipelines, Databricks, Golang, Programming Languages - **Published:** November 3, 2026 - **Apply:** https://dejobs.org/x/x/37234A3E0300453780EFF30B662A3227/job/ ## About the Role * Minimum 3 years of professional experience in software development. * Experience building and maintaining applications using modern programming languages (e.g., Golang, TypeScript, Python, Java, C++, Rust) and frameworks (e.g., React, Angular). * Strong analytical and problem-solving skills with attention to detail. * Experience with modern development practices, including version control (e.g., GitHub) and CI/CD or configuration-based deployments (e.g., Kubernetes, Terraform, CloudFormation)., * Experience with observability platforms (e.g., Datadog, Splunk, New Relic). * Familiarity with data platforms and databases such as Databricks, Snowflake, MySQL, or PostgreSQL. * Experience working in large-scale engineering environments. * Exposure to distributed systems or streaming platforms; understanding of client-server architecture is a plus. * Exposure to using data or observability tools to support engineering improvements. Education * BS in a quantitative field (Computer Science, Engineering, Math/Statistics, or similar). Preferred Education * Masters in a quantitative field (Computer Science, Engineering, Math/Statistics, or similar). ## Description We are seeking a Software Engineer who is passionate about observability tooling, data, and integrations. In this role, you will contribute to building and improving components that support how engineering teams collect, analyze, and act on critical system data. You will work alongside other engineers to implement solutions that enhance visibility into systems, support the development lifecycle, and improve reliability and performance. This role is encouraged to leverage modern AI tools to enhance development workflows and productivity. We are looking for engineers who are interested in learning and applying emerging technologies in practical ways across the engineering lifecycle. If you're passionate about observability, analytics, and solving technical problems as part of a team, we'd love to hear from you. Responsibilities and Duties of the Role: * Contribute to the development and maintenance of components that support observability tools, data pipelines, and engineering systems. * Collaborate with teammates to implement features that improve system monitoring, data collection, and analysis. * Learn and apply AI-assisted development tools to improve coding efficiency and workflow productivity. * Help implement updates to existing engineering data models and integrations across systems. * Assist in debugging issues and contribute to root cause analysis under guidance from senior engineers. * Support the delivery of data-driven insights that help improve system performance and reliability. * Identify small opportunities to improve code quality, documentation, or team processes.