Engineer II

About the Role

We are looking for a curious and team-focused Full Stack Software Engineer to join our dynamic engineering team. In this role, you will build and maintain the backend services and user-facing analytics experiences that power operational insights for Anaplan. You will be responsible for presenting customers and internal users with the data they need to drive their decision-making.

You will work as a full-stack developer, responsible for building the REST APIs and web UIs needed to make this data available in a performant and reliable way. We build services in Python and React. This role suits an engineer who is accountable, collaborative, and comfortable moving between data, backend, and frontend work. There will be opportunities to engage with and learn from other parts of the ODL platform, including a modern Lakehouse built on Databricks.

Key Responsibilities

• Build and support scalable REST services in Python.
• Develop and enhance web frontend features (e.g., React/TypeScript) for analytics and diagnostics experiences embedded in the Anaplan product shell.
• Implement and manage CI/CD pipelines for services, jobs, and UI delivery.
• Write robust tests across UI and backend layers to ensure reliability and performance.
• Use SQL or PySpark to investigate underlying source data.
• Collaborate with product, data, and platform partners to deliver BI/analytics features in a trusted and usable UI.
• Work in a team-focused environment with a data-driven mindset.
• Be curious and willing to learn.

Required Qualifications

• 3+ years of experience in a software engineering role with full-stack exposure (backend + frontend), or strong backend/data experience with proven frontend delivery.
• Solid programming skills in Python.
• Experience building or consuming REST services (Python preferred; willingness to work with existing Kotlin/Java services is a plus).
• Hands-on experience with a modern frontend stack (React and TypeScript preferred).
• Familiarity with CI/CD principles and tools.
• Working knowledge of SQL.
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Preferred Qualifications

• Experience with cloud platforms (AWS, GCP, or Azure).
• Knowledge of Docker and Kubernetes.
• Familiarity with observability tools (monitoring, logging, alerting).
• Experience supporting high-uptime, production-grade systems.
• Familiarity with data science tools.
• Experience with Spring Boot is a bonus.