Forward Deployed Engineer, India

Notion is looking for a Forward Deployed Engineer focused on migrations to join our growing team in India. You will help deliver complex, production-grade data migrations, integrations, and automations for customers across APAC.

Responsibilities:

• Own the technical execution layer after customer requirements, scope, and solution architecture have been established with the regional FDE.
• Apply a repeatable migration lifecycle covering source inventory and sampling, scope and pruning decisions, compatibility and degradation assessment, transformation design, pilot or dry run, user acceptance testing, production cutover, reconciliation, remediation, hypercare, and documented handoff.
• Translate approved customer and regional FDE requirements into clear technical designs, implementation plans, test strategies, runbooks, and delivery estimates.
• Build production-quality migration utilities, backend services, data pipelines, integrations, and automations using Python, SQL, APIs, databases, and cloud infrastructure.
• Investigate source-system behavior, data quality issues, permissions, rate limits, authentication constraints, and edge cases, then recommend practical solutions.
• Design and validate permissions, ownership, and inheritance mappings against the approved migration plan.
• Design migrations for reliability, scale, security, observability, idempotency, failure recovery, and safe reruns.
• Execute migrations only through approved environments, devices, accounts, and tooling.
• Build validation and reconciliation frameworks that provide clear evidence of migration completeness, accuracy, and exceptions.
• Debug failures across application code, infrastructure, customer data, third-party systems, and the Notion platform, then drive issues through resolution.
• Manage multiple implementation workstreams, dependencies, and priorities while communicating scope, progress, risks, and trade-offs clearly.
• Surface scope changes, unsupported requirements, timeline risks, and material effort increases early.
• Convert repeated delivery patterns into reusable components, automation, documentation, and playbooks that improve speed, quality, and cost over time.
• Bring field learnings back to Notion's Product and Engineering teams as actionable platform feedback and technical requirements.

Requirements:

• 3 to 6 years of hands-on experience in backend engineering, data engineering, integration engineering, implementation engineering, technical consulting, solutions engineering, or a similar technical role.
• Strong hands-on Python development experience.
• Working experience with Node.js, JavaScript, or TypeScript.
• Strong SQL skills and a solid understanding of relational databases, data modeling, and data transformation.
• Experience working with REST APIs, JSON, authentication, webhooks, and system integrations.
• Experience owning a production migration, integration, or technical implementation through mapping, transformation, testing, rollout, validation, and handoff.
• Experience taking a technical problem from requirements and design through development, testing, deployment, and production operation.
• Experience with Git, code review, automated testing, release practices, and production deployment.
• Strong debugging, analytical, and problem-solving skills across code, data, infrastructure, and external systems.
• Evidence of working on production systems, not only prototypes or proof-of-concept projects.
• Clear written and verbal English communication, with the ability to explain technical decisions, constraints, and risks to technical and non-technical stakeholders.
• High agency and ownership.

Nice to Haves:

• Experience with Docker, Kubernetes, CI/CD, job orchestration, or infrastructure automation.
• Experience with AWS, GCP, or Azure.
• Familiarity with message queues, event-driven systems, distributed-system patterns, retries, concurrency, and rate limits.
• Experience with monitoring, logging, alerting, or other observability tools.
• Experience with enterprise SaaS applications, professional services, or large-scale customer implementations.
• Experience migrating large volumes of content or structured data between enterprise platforms.
• Experience with AI or LLM applications, retrieval-augmented generation, evaluation frameworks, or agentic workflows.
• Familiarity with MCP, tool calling, Notion Workers, Custom Agents, or similar extensibility platforms.
• Experience working with distributed global or APAC teams.