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Backend Engineer - Notes at Weekday AI. This role is for one of Weekday’s clients. Min Experience: 5 years. JobType: full-time. We are looking for a . Senior Backend Engineer. to lead the design and development of this platform — building a secure, scalable, and developer-friendly execution engine that integrates deeply with data and ML workflows.. You will design APIs and services to orchestrate code execution, manage resources, isolate environments, and provide observability into execution lifecycles. You’ll also tackle hard engineering problems around sandboxing, dependency management, concurrency, and horizontal scalability.. This is a high-impact, foundational role at the intersection of developer productivity, data engineering, and platform infrastructure.. What You’ll Do. Design, build, and scale the Notes Execution Platform — enabling seamless execution of internal and external code in a secure, isolated, and observable way.. Architect sandboxed environments to run untrusted or user-supplied code with appropriate resource quotas and security controls.. Develop backend services and APIs to manage job lifecycles: scheduling, monitoring, cancellation, logging, and reporting.. Ensure the system is resilient and scales horizontally to meet growing demand.. Integrate the Notes platform with data platform and ML workflows, making it a first-class citizen in our ecosystem.. Collaborate with product managers, data scientists, and engineers to understand use cases and deliver intuitive developer experiences.. Drive technical excellence: establish best practices in code execution safety, performance tuning, and observability.. What We’re Looking For. 5+ years of backend engineering experience, ideally building distributed systems or platform infrastructure.. Deep expertise in at least one backend language (e.g., Python, Go, Java, or similar) and experience designing RESTful and/or gRPC APIs.. Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes) and building isolated execution environments.. Strong understanding of secure code execution, sandboxing, and resource quota enforcement.. Familiarity with distributed job queues and task orchestration systems (e.g., Celery, Airflow, Kubernetes Jobs, or similar).. Proven ability to build systems that are performant, resilient, and observable at scale.. Excellent communication and collaboration skills, with a track record of working across teams.. Nice to Have. Experience building notebook-like platforms (e.g., JupyterHub, Databricks, or similar).. Exposure to data and ML platforms, and an understanding of their unique execution needs.. Experience with multi-tenant systems and securing shared infrastructure.. Company Location: India.