Engineer III

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 have a lead role in this system and will be responsible for mentoring junior developers and ensuring standards are met.

Key Responsibilities

• Architect and develop high-performance REST services in Python, and guide integration with existing product backends where needed.
• Lead the design and delivery of frontend features for analytics/diagnostics UIs (React/TypeScript).
• Own the strategy and execution of CI/CD for resilient automated deployments across services and the UI.
• Champion test development across API and UI layers; mentor engineers on effective testing.
• Partner with product, analytics, and platform stakeholders to translate business needs into end-to-end technical solutions.
• Drive the technical approach for UI delivery (APIs and usable dashboards/experiences).
• Lead the investigation of correctness, performance, and scalability issues across the stack.
• Mentor engineers and foster a team-focused, data-driven culture.
• Take accountability for the health and scalability of the systems in scope.

Required Qualifications

• 5+ years of experience in software engineering, with a proven track record of technical leadership and full-stack delivery.
• Expert-level programming skills in Python.
• Deep experience designing and building scalable REST services (Python preferred).
• Strong experience with modern frontend development (React and TypeScript preferred).
• Proven success with automated CI/CD pipelines.
• Strong experience with Terraform for infrastructure automation.
• Advanced SQL/notebook/Pandas experience for data validation and debugging.
• Experience mentoring engineers and leading complex, cross-cutting technical projects.
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Preferred Qualifications

• Deep experience with cloud platforms (AWS, GCP, Azure) and cloud-native design.
• Strong understanding of Kubernetes and Docker in production.
• Experience implementing modern observability stacks (e.g., Prometheus, Grafana, ELK).
• Experience building productized BI experiences from the ground up.
• Exposure to Spark/Databricks or similar distributed data processing frameworks or data science tools.
• Experience with Spring Boot.