Forward Deployed Engineer
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Job description
We are looking for a highly skilled Forward Deployed Engineer (FDE) to join our team and support SingleStore customers globally. This is a customer-facing consulting role where you will deploy and optimize SingleStore database environments, implement AI-powered solutions, and act as a trusted technical advisor throughout the customer lifecycle., * As a Forward Deployed Engineer, you will work directly with enterprise customers to design, deploy, configure, and optimize SingleStore Helios (Managed Service) and Self-Managed SingleStore clusters across cloud and on-premises environments.
- You will also lead the implementation of Aura Analyst, SingleStore’s AI-powered conversational analytics tool, that transforms plain-English questions into precise SQL queries.
- This role combines technical implementation, architecture consulting, customer engagement, and AI adoption. The ideal candidate is equally comfortable leading executive discussions, conducting technical workshops, and performing hands-on deployments., Customer Deployment & Implementation
- Deploy, configure, and optimize SingleStore Helios environments for enterprise customers.
- Install, configure, and support Self-Managed SingleStore clusters across cloud and on-premises infrastructure.
- Perform cluster sizing, architecture design, upgrades, migrations, and production readiness assessments.
- Configure high availability, disaster recovery, backup, security, and performance optimization.
- Troubleshoot complex infrastructure, database, and deployment issues.
Aura Analyst Implementation
- Deploy and configure Aura Analyst for enterprise customers.
- Integrate Aura Analyst with customer datasets and enterprise workflows.
- Enable customers to leverage natural language queries and AI-powered analytics.
- Validate AI outputs, optimize prompts, and support customer adoption.
- Collaborate with SingleStore Product and Engineering teams by providing implementation feedback and product improvement recommendations.
Technical Consulting
- Serve as the primary technical advisor during customer implementations.
- Lead discovery sessions, technical workshops, and architecture reviews.
- Translate business objectives into scalable technical solutions.
- Recommend best practices for deployment, performance, scalability, and security.
- Produce high-quality technical documentation and implementation guides. *
AI & Automation
- Leverage AI tools to accelerate deployments, troubleshooting, documentation, and knowledge sharing.
- Develop automation scripts to simplify repetitive deployment and operational tasks.
- Utilize modern AI coding assistants and productivity tools to improve engineering efficiency.
- Stay current with advancements in Large Language Models (LLMs), AI agents, and enterprise AI technologies.
Customer Success
- Build trusted relationships with customer stakeholders, architects, and engineering teams.
- Drive successful implementations while ensuring an exceptional customer experience.
- Mentor customer teams through knowledge transfer sessions and operational best practices.
- Collaborate with Customer Success and Support teams to ensure seamless project handoffs.
Requirements
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or
- equivalent practical experience.
- 8+ years of experience in Professional Services, Solutions Engineering, Customer Engineering, Forward Deployed Engineering, or Technical Consulting.
- Experience deploying enterprise software solutions in customer environments.
- Experience with SingleStore or distributed SQL databases such as PostgreSQL, CockroachDB, YugabyteDB, MySQL, or similar technologies.
- Database administration and performance tuning experience.
- Data ingestion and ETL pipelines.
- Monitoring platforms such as Grafana, Prometheus, or Datadog.
- Infrastructure as Code using Terraform or Ansible.
- CI/CD pipelines and DevOps practices.
- Strong Linux system administration skills.
- Experience with AWS, Microsoft Azure, or Google Cloud Platform.
- Hands-on experience with Kubernetes and containerized applications.
- Strong networking fundamentals, including DNS, TLS/SSL, firewalls, and load balancing.
- Experience with Python, Bash, or other scripting languages.
- Familiarity with REST APIs and enterprise integrations.
- Excellent troubleshooting and analytical skills
AI & Modern Technology Skills
The ideal candidate should be comfortable working with AI technologies and incorporating them into day-to-day engineering workflows.
Preferred experience includes:
- Hands-on use of AI tools such as ChatGPT, Claude, Gemini, GitHub Copilot, Cursor, Windsurf, or similar platforms.
- Knowledge of Model Context Protocol (MCP) and its role in enabling AI assistants to securely interact with enterprise databases, APIs, development tools, and business applications.
- Using AI to improve implementation quality, scripting, troubleshooting, documentation, and customer enablement.
- Understanding of:
- Large Language Models (LLMs)
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- AI Agents and MCP (Model Context Protocol)
- Vector Databases and Embeddings
- Experience implementing AI-powered enterprise applications is highly desirable.
Consulting & Communication Skills
This role requires outstanding customer-facing abilities.
The ideal candidate will possess:
- Exceptional verbal and written communication skills.
- Strong presentation and executive communication capabilities.
- Excellent consulting and stakeholder management skills.
- Ability to simplify complex technical concepts for both technical and non-technical audiences.
- Strong business acumen and customer-first mindset.
- Experience leading customer workshops and architecture discussions.
- Excellent problem-solving and analytical thinking skills.
- Ability to manage multiple customer engagements simultaneously., * Experience delivering Professional Services engagements.
- Exposure to enterprise analytics platforms.
- Cloud certifications (AWS, Azure, or Google Cloud Platform).
- Kubernetes certification is a plus.
- Experience supporting Fortune 500 or enterprise customers
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