N

Notion

Builds a workspace for notes, docs, and AI agents

Forward Deployed Engineer

Backend EngineeringConfirmed live in the last 24 hours
Full-timeHyderabad, Telangana, IndiaNo salary listed

About the Job

Requirements

  • Have 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.
  • Have strong hands-on Python development experience.
  • Have working experience with Node.js, JavaScript, or TypeScript.
  • Have strong SQL skills and a solid understanding of relational databases, data modeling, and data transformation.
  • Have experience working with REST APIs, JSON, authentication, webhooks, and system integrations.
  • Have experience owning a production migration, integration, or technical implementation through mapping, transformation, testing, rollout, validation, and handoff.
  • Have experience taking a technical problem from requirements and design through development, testing, deployment, and production operation.
  • Have experience with Git, code review, automated testing, release practices, and production deployment.
  • Have strong debugging, analytical, and problem-solving skills across code, data, infrastructure, and external systems.
  • Have evidence of working on production systems, not only prototypes or proof-of-concept projects.
  • Have clear written and verbal English communication, with the ability to explain technical decisions, constraints, and risks to technical and non-technical stakeholders.
  • Have high agency and ownership, and be comfortable making progress with incomplete information, challenging assumptions, and escalating with options and a recommendation.

Responsibilities

  • Own the technical execution layer after customer requirements, scope, and solution architecture have been established with the regional Forward Deployed Engineer. Contribute to feasibility assessment, estimation, implementation planning, and risk identification while the regional Forward Deployed Engineer remains accountable for customer discovery, scope, architecture, stakeholder communication, and final acceptance.
  • 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 Forward Deployed Engineer 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. Make unsupported or ambiguous access requirements explicit, obtain the required decision or approval, and preserve evidence of validation.
  • Design migrations for reliability, scale, security, observability, idempotency, failure recovery, and safe reruns.
  • Execute migrations only through approved environments, devices, accounts, and tooling. Follow least-privilege access, customer-specific security and data-residency requirements, and approved handling procedures. Do not store customer data in unmanaged local or external systems, and escalate privacy, security, or sovereignty concerns before execution.
  • 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. Document assumptions and trade-offs, and escalate with options and a recommended path rather than silently absorbing additional work.
  • Maintain an auditable record of scope, decisions, risks, approvals, validation evidence, and customer acceptance criteria in the agreed shared workspace or channel.
  • 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.
  • Learn Notion's migration and implementation ecosystem, engineering standards, and APAC delivery model during the first 90 days.
  • Establish a productive working rhythm with regional Forward Deployed Engineer partners.
  • Contribute to at least one migration or integration workstream through production delivery within the first 90 days.
  • Leave clear technical documentation, validation evidence, and an operational runbook after initial delivery.
  • Independently own production migration or integration workstreams from technical design through rollout and handoff within the first six months.
  • Deliver measurable improvements in migration turnaround time, validation quality, delivery cost, or regional Forward Deployed Engineer execution hours through reusable engineering.
  • Help establish repeatable quality controls, code review practices, runbooks, and observability patterns for the India team.
  • Demonstrate effective prioritization and communication across multiple concurrent APAC engagements.
  • Turn at least one repeated delivery pattern into a reusable tool, component, or playbook adopted by a subsequent engagement.

Desired Qualifications

  • Have experience with Docker, Kubernetes, continuous integration and continuous delivery, job orchestration, or infrastructure automation.
  • Have experience with AWS, Google Cloud Platform, or Microsoft Azure.
  • Have familiarity with message queues, event-driven systems, distributed-system patterns, retries, concurrency, and rate limits.
  • Have experience with monitoring, logging, alerting, or other observability tools.
  • Have experience with enterprise software-as-a-service applications, professional services, or large-scale customer implementations.
  • Have experience migrating large volumes of content or structured data between enterprise platforms.
  • Have experience with artificial intelligence or large language model applications, retrieval-augmented generation, evaluation frameworks, or agentic workflows.
  • Have familiarity with Model Context Protocol, tool calling, Notion Workers, Custom Agents, or similar extensibility platforms.
  • Have experience working with distributed global or APAC teams.

About the Company

Notion

Builds a workspace for notes, docs, and AI agents

Notion builds a workspace app where people and teams write notes and documents, plan projects, and keep company wikis, all made from the same flexible blocks. It announced an AI writing assistant built on an OpenAI model in November 2022, two weeks before ChatGPT's launch set off the generative AI boom. A page can mix text, checklists, and databases that turn into task boards or calendars, while AI agents search the workspace and connected apps like Slack and run routine tasks on a schedule. Notion is free for individuals, and teams pay per-member subscriptions plus credits to run custom agents. Notion was founded in 2013, released its app in 2016, and is based in San Francisco.

Company size
501-1,000
Company stage
Private
Total funding
$335M
Headquarters
San Francisco, CA
Founded
2013

Recently Posted Jobs

Explore more opportunities at Notion

See more jobs