Forward Deployed Engineer (FDE)

Pay Rate: $53 per hour
Location: Woodland Hills, CA
Work Mode: Hybrid

Summary:

• We are seeking a highly skilled Forward Deployed Engineer (FDE) to work directly with customers to design, develop, and deploy scalable technology solutions that address complex business challenges.
• The ideal candidate will combine strong software engineering expertise with customer-facing consulting skills and the ability to work across the full technology stack, cloud platforms, and data ecosystems.

Responsibilities:

• Partner closely with company stakeholders to understand business requirements and translate them into technical solutions.
• Design, develop, and deploy end-to-end applications and platform solutions.
• Work across application layers, including frontend, backend, APIs, databases, and integration services.
• Develop and optimize cloud-native solutions using AWS, Azure, or GCP.
• Build, automate, and maintain CI/CD pipelines and deployment processes.
• Troubleshoot complex technical issues in customer environments and provide effective resolutions.
• Collaborate with product, engineering, architecture, and DevOps teams to accelerate solution delivery.
• Drive customer adoption and ensure successful implementation of technical solutions.
• Provide technical leadership, solution recommendations, and best practices to customers and internal teams.
• Support proof-of-concepts (POCs), system integrations, and platform modernization initiatives.

Requirements:

• Strong experience in one or more programming languages: Java, Python, Node.js.
• Experience in designing and developing RESTful APIs and Microservices.
• Exposure to AI-enabled development tools and automation frameworks.
• Front-end technologies: React.js, JavaScript/TypeScript, HTML5/CSS3.
• Back-end frameworks: Spring Boot, Node.js.
• Hands-on experience with containerization and orchestration technologies: Docker, Kubernetes.
• Experience with SQL and NoSQL databases.
• Familiarity with messaging and event-streaming platforms such as Kafka.
• Experience with CI/CD tools such as Bamboo, Bitbucket, or AWS DevOps.
• Experience with monitoring and observability tools such as Splunk and Datadog.

Preferred Skills:

• Knowledge of AI/ML concepts, Generative AI, and LLM integrations.
• Experience in the Healthcare domain.
• Familiarity with Agile/Scrum methodologies.
• Experience in USA Healthcare.
• Certifications in AWS, Azure, GCP, Kubernetes, or Terraform.