Harness the Power of Simplified Application Integration and Data Replication.
Forward Deployment Engineer
Location
India
Posted
4 hours ago
Salary
0
Seniority
Senior
Job Description
Forward Deployment Engineer
DBSync
• Work on latest edge Cloud computing to solve difficult, manual and repeatable tasks for users adopting Cloud technologies like AWS, Salesforce, Microsoft and more • Use the latest trends on building SaaS applications using multitenancy, scalability large data volumes / Big Data and more • Develop and expand our portfolio to support most popular Cloud apps (200+) • Develop understanding of not just software development, but also how to design, develop and launch a product from concept to high customer use. • Customer Discovery: Conduct structured workshops with client stakeholders to capture workflows, pain points, and desired outcomes. • Solution Design: Translate business requirements into technical workflows, automations, and integrations. • Deployment Execution: Configure, test, and deploy solutions, ensuring seamless go-live and adoption. • Workflow Automation: Build and customize automations using APIs, scripts, or low-code platforms. • Technical Troubleshooting: Diagnose integration issues, resolve blockers, and iterate based on client feedback. • Customer Advocacy: Serve as the technical expert during onboarding and beyond, ensuring long-term customer success. • Feedback Loop: Provide insights from deployments to product and engineering teams to shape roadmap priorities.
Job Requirements
- Bachelor's degree in Computer Science, Engineering, or related field — or equivalent demonstrated experience shipping production integrations.
- 4–8 years in a customer-facing technical role where you personally wrote and owned the code (Forward Deployed Engineer, Solutions Engineer, Integration Engineer, Implementation Engineer, or similar).
- Strong coding ability (Python, Java, Go, or similar) — able to build and debug real integration logic, not just configure a UI.
- Deep familiarity with SaaS systems, REST/SOAP APIs, webhooks, and authentication patterns (OAuth, API keys, SSO basics).
- Experience with workflow automation platforms, CI/CD, and basic observability/monitoring tools.
- Comfortable with SQL and at least one BI tool (Looker, Tableau, Superset) for validating data and demonstrating impact.
- Demonstrated ability to operate independently in ambiguous, loosely-scoped situations and drive to a working solution.
- Excellent communication skills — able to run a discovery workshop, explain a technical trade-off to a non-technical stakeholder, and write clear documentation.
- Hands-on experience with LLM/agentic frameworks (LangChain, LangGraph, CrewAI, or similar) and applying them to real workflow or data problems.
- Experience with RAG pipelines, prompt/eval design, or AI observability and guardrails.
- Prior experience embedded on-site with enterprise clients during implementation.
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