P
Parloa
Senior/Lead Forward Deployed Engineer
Skills
MongoDBData EngineeringDockerNodeTypescriptPythonMySQLKafkaRedisAIKubernetesTerraformAzure
2 months ago
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Important information
Contract type:
Permanent
Salary:
$160,000 – $230,000 / year
Location:
New York, NY, USA
Work mode:
Onsite
Published on:
19 August 2026
What they need
- As a Senior/Lead Forward Deployed Engineer (SFDE) at Parloa, you’ll be on the front lines of enterprise AI adoption - delivering cutting-edge technology into some of the most complex environments in the world
- Your mission: lead end-to-end deployment projects from an engineering perspective - not just implementing what exists, but engineering what’s required to make it succeed at enterprise scale
- FDEs are our in-field product engineers. You will build what doesn’t yet exist, adapt architecture to enterprise realities, and engineer integrations across systems and APIs to make deployments successful
- Your work is hands-on and code-first - you’ll be building, debugging, and engineering solutions directly in the field. What you ship not only makes deployments succeed, it also defines how customers experience Parloa and shapes what our product becomes
- This is not about maintenance. This is about engineering what makes it work in production, under real-world enterprise constraints, at speed and scale
- Own deployment engineering projects: Lead the technical execution (incl. product engineering) of Parloa’s deployments inside large, complex enterprise environments
- Design for scale and resilience: Architect deployment solutions that meet enterprise-grade requirements for performance, reliability, and security
- Engineer solutions where none exist: Build custom extensions, integrations, and configurations to close product gaps and meet enterprise requirements
- Work across systems & stacks: Operate at the intersection of backend engineering, DevOps, and data engineering to ensure seamless delivery
- Partner with enterprise teams: Collaborate directly with customer engineering organizations to overcome constraints and deliver measurable outcomes
- Guide and mentor others: Collaborate with and provide technical guidance to more junior in-field engineers
- Influence at senior levels: Engage with enterprise architects and senior technical stakeholders, discussing solutions and architectures in depth to ensure alignment and credibility
- Debug under pressure: Rapidly unblock issues in mission-critical environments and ensure customer success
- Shape the product: Act as the feedback loop between the field and our core engineering teams - turning deployment learnings into platform evolution
- Deliver long-term impact: Work closely with Deployment Strategists to ensure scalable architectures and durable customer value
- Our Technology Stack: Python,TypeScript, Node.js, OpenAI, Microsoft Azure, Kubernetes, Docker, Terraform, MongoDB, MySQL, Redis, Kafka, MCP- Strong plus: Experience building or integrating AI/LLM-powered systems (e.g., embedding agent workflows, vector databases, prompt orchestration)
- Proven track record of leading deep technical deployments and integrations in large-scale enterprise environments
- A builder’s mindset with bias for action, creativity under pressure, and an obsession with making things work in the real world
- 7+ years of professional experience in software engineering, systems integration, DevOps, or data engineering roles with direct customer impact
- Strong technical depth across backend engineering, infrastructure-as-code, Kubernetes/cloud platforms, APIs, and databases - with proven experience in systems design and the ability to go hands-on in production systems
- Ability to operate independently in ambiguous, high-responsibility settings, especially when deploying live to enterprise systems
- Degree in Computer Science, Engineering, or related technical field- Recruiter video call → Meet your manager → Challenge Task → Bar Raiser Interview
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