Forward Deployment Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Implement EXLdata.ai within client cloud environments (AWS/Azure/GCP)

• Address infrastructure, security, and data pipeline challenges in real-time

• Tailor accelerators and agent workflows to meet client-specific requirements

• Ensure measurable value is realized from the very first day

• Advocate for product improvements to the EXLdata.ai engineering team

• Provide exceptional support for clients utilizing our managed platform services

⛳️ Requirements

• 6–12+ years of experience as a Senior Data Engineer, Forward Deployment Engineer, or Platform Engineer

• Extensive hands-on knowledge of at least one hyperscaler (AWS, Azure, or GCP)

• Profound proficiency in: PySpark, SQL, Python

• Experience with Databricks / Snowflake (one is required, both are preferred)

• Familiarity with cloud data services (Kinesis, Glue, Redshift, Synapse, BigQuery, DataProc, etc.)

• Knowledge of Kubernetes, Docker, and CI/CD practices

• Understanding of IAM, VPC, private networking, secrets management, and API management

• Capability to collaborate directly with client engineering teams

• Comfortable facilitating design discussions, debugging sessions, and deployment workshops

• Excellent communication skills; able to convey technical concepts to business audiences effectively

• Proactive attitude; flourishes in uncertain situations

• Quick learner with a strong bias for action

• Customer-focused mindset and a passion for achieving tangible results.

🏝️ Benefits

• EXL does not require any fees or payments during the hiring process

• Structured interview process