Full Stack 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 backend services and user‑facing analytics experiences that power operational insights for Anaplan, presenting customers and internal users with the data they need to drive decision‑making.

Key responsibilities

• Architect and develop high‑performance REST services in Python and guide integration with existing product back‑ends.
• Lead the design and delivery of frontend features for analytics/diagnostics UIs using React and TypeScript.
• Own CI/CD strategy and execution for resilient automated deployments across services and the UI.
• Champion test development across API and UI layers and mentor engineers on effective testing.
• Partner with product, analytics, and platform stakeholders to translate business needs into end‑to‑end technical solutions.
• Drive technical approach for UI delivery, including usable dashboards and experiences.
• Investigate 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 profile

• 5+ years of software engineering experience with proven technical leadership and full‑stack delivery.
• Expert‑level programming skills in Python and deep experience designing scalable REST services.
• Strong modern frontend development experience with React and TypeScript.
• Proven success building automated CI/CD pipelines and using Terraform for infrastructure automation.
• Advanced SQL, notebook, and 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 related field, or equivalent practical experience.

Required skills

• Python
• REST APIs
• React
• TypeScript
• CI/CD pipelines
• Terraform
• SQL
• Pandas
• Databricks Lakehouse
• Kubernetes (preferred)
• Docker (preferred)
• Observability tools such as Prometheus, Grafana, ELK (preferred)
• Spark/Databricks (preferred)
• Spring Boot (preferred)
• Cloud platforms AWS, GCP, Azure (preferred)