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Senior Backend Engineer at Weekday AI. 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. .. 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.. Company Location: India.