Forward Deployed Engineer

Stack Exchange is a popular community-based website focused on increasing productivity and innovation. As a Forward Deployed Engineer, you will ensure the technical delivery of Stack Overflow’s Professional Services engagements, working directly with enterprise customers to deploy and optimize services while mentoring future engineers.

Responsibilities:

• Own technical delivery across multiple deployments from first prototype to stable production
• Contribute to SOW development by documenting technical specifications, identifying dependencies and risks, and defining acceptance criteria that protect delivery timelines
• Build and validate integrations using our API, MCP server, and Knowledge Ingestion Engine, including connecting customer knowledge sources to AI-powered developer workflows
• Write and maintain automation scripts (Python or similar) to streamline deployment processes, data ingestion pipelines, and environment configuration
• Troubleshoot and resolve delivery challenges in collaboration with Customer Success, Product, and Support
• Document and scale delivery processes by creating reusable playbooks, runbooks, and automation that enable repeatable deployments across customers and partner resources
• Mentor and guide future engineers and partner resources, raising the overall standard of delivery excellence
• Influence service evolution by feeding client and delivery insights into the design of new offerings

Requirements:

• Bring 3+ years of engineering or technical deployment experience that includes customer-facing work
• Have scoped and delivered complex systems in fast-moving or ambiguous environments
• Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks
• Experience with enterprise integrations across developer tools like Slack, Teams, GitHub, Jira, or ServiceNow, including API-based and webhook-driven architectures
• Hands-on experience with cloud platforms (AWS, Azure, or GCP) and familiarity with containerization (Docker), infrastructure-as-code (Terraform, CloudFormation), or CI/CD pipelines
• Working knowledge of MCP servers, RAG architectures, or enterprise AI deployment patterns. You should be able to configure and validate these workflows
• Experience with data ingestion and ETL patterns. You'll work with the Knowledge Ingestion Engine to connect diverse customer knowledge sources to Stack Internal
• Clear written and verbal communication with both technical and business stakeholders. You'll be writing runbooks and presenting deployment status to engineering leaders