Senior Backend Engineer

This role is for one of the Weekday's clients

Min Experience: 5 years

JobType: full-time

We are building a powerful platform that enables supply chain teams to leverage intelligence and automation at scale. A core component of this vision is a Notes Execution Platform that allows users to securely author, execute, and share internal and external code within a unified environment.

As a Senior Backend Engineer, you will lead the design and development of this platform—creating a secure, scalable, and developer-friendly execution engine that integrates deeply with data and machine learning workflows. This is a high-impact, foundational role at the intersection of platform engineering, data infrastructure, and developer productivity.

Requirements

Key Responsibilities

• Design, build, and scale a secure execution platform that enables seamless execution of internal and user-supplied code in isolated, observable environments.
• Architect and implement sandboxed execution environments with strong security controls, isolation, and resource quotas.
• Develop backend services and APIs to manage execution lifecycles, including job scheduling, monitoring, cancellation, logging, and reporting.
• Ensure high availability, resilience, and horizontal scalability to support growing workloads.
• Integrate the execution platform with data pipelines and machine learning workflows, making it a core part of the broader ecosystem.
• Collaborate closely with product managers, data scientists, and engineers to understand use cases and deliver intuitive, developer-first experiences.
• Drive technical excellence by defining best practices for execution safety, performance optimization, and system observability.

Required Qualifications

• 5+ years of backend engineering experience, preferably working on distributed systems or platform infrastructure.
• Strong proficiency in at least one backend language such as Python, Go, or Java.
• Hands-on experience designing and building RESTful and/or gRPC APIs.
• Solid experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Strong understanding of secure code execution, sandboxing techniques, and resource isolation.
• Experience with distributed job queues or orchestration systems (e.g., Celery, Airflow, Kubernetes Jobs, or similar).
• Proven ability to build scalable, resilient, and observable systems.
• Excellent communication and collaboration skills, with experience working across cross-functional teams.

Nice to Have

• Experience building or working with notebook-style execution platforms (e.g., JupyterHub, Databricks, or similar).
• Exposure to data engineering or machine learning platforms and their execution requirements.
• Experience designing and securing multi-tenant systems and shared infrastructure.