Forward Deployed Engineer
Duradigital· Sep 7, 2026 · 2mo ago
United States
Remote
Contract
Mid
$115K–$166K est.
3+ years exp
Job description
About Dura Digital
Dura Digital is a global digital transformation and consulting company that helps organizations turn emerging technologies into practical business outcomes. We bring together strategy, human-centered design, engineering, and AI expertise to create solutions that improve operations, customer experiences, and organizational performance.
As a Dura Digital consultant, you will represent our commitment to thoughtful innovation, strong client partnership, and high-quality delivery while working closely with the client’s leadership and delivery teams.
About the role
We are looking for a highly skilled and customer-facing Forward Deployed Engineer (FDE) to bridge the gap between our core engineering team and our most strategic clients. In this role, you will not sit on the sidelines; you will deploy directly to the front lines, working deeply within our customers' technical ecosystems.
You will be responsible for understanding complex customer problems, architecting bespoke solutions, and writing production-grade code that integrates seamlessly with existing systems, data, and workflows. Increasingly, this will include designing and implementing AI-enabled applications, agentic workflows, and intelligent automation alongside traditional software engineering.
If you enjoy solving difficult technical problems, working directly with customers, and seeing the immediate real-world impact of what you build, this role is for you.
Key Responsibilities
Technical Integration: Scope, architect, and build robust integrations and custom features to connect our platform with client infrastructure.
Client Collaboration: Work directly with technical stakeholders and executives at client companies to understand their workflows and pain points.
Full-Stack Development: Write clean, maintainable, and production-ready code across the entire stack.
AI Implementation: Design and implement AI-enabled solutions using large language models, agents, structured outputs, tool calling, and other emerging AI patterns where appropriate.
AI Evaluation & Reliability: Develop approaches for evaluating AI systems, including quality, accuracy, latency, cost, security, and reliability, and help determine when AI—or traditional software—is the right solution to a problem.
Rapid Prototyping to Production: Quickly translate ambiguous business problems into working prototypes, validate solutions with users, and evolve successful concepts into secure, scalable, production-ready systems.
Feedback Loop: Act as the voice of the customer back to our internal Product and Core Engineering teams to influence the product roadmap.
Technical Onboarding: Guide clients through the deployment phase, ensuring optimal performance, scalability, and security.
Troubleshooting: Diagnose and resolve complex technical issues in real-time within highly constrained client environments
Required Qualifications
Experience: 3+ years of experience in software engineering, solutions architecture, or a technical customer-facing engineering role.
Technical Stack: Proficiency in at least one major backend language (e.g., Python, Go, Java, C++) and modern frontend frameworks (e.g., React, Vue).
Infrastructure & Cloud: Strong experience with cloud providers (AWS, GCP, or Azure), Docker, and Kubernetes.
Data Integration: Solid understanding of APIs (REST, GraphQL), databases (SQL/NoSQL), and data pipelines.
Communication: Exceptional verbal and written communication skills in English, with the ability to explain complex technical concepts to non-technical stakeholders.
Preferred Qualifications
Deep knowledge of cybersecurity best practices and data privacy regulations.
Background in consulting or systems integration.
Application prep
Use the role’s language and application details while tailoring your materials.
Keywords to mirror
aipythongojavareactvueawsgcpazuredockerkubernetesrestgraphqlsql
- Platform
- bamboohr
- Effort
- medium