Cloud Data Engineer (AWS/Neptune)

Description

We are actively hiring a Cloud Data Engineer with hands-on experience in AWS Neptune and large-scale data platforms. This role will serve as a senior technical contributor, responsible for managing graph database operations, ETL pipelines, infrastructure-as-code, and cloud orchestration within a high-performance environment.

You'll collaborate closely with AI engineers, backend teams, and product leads while ensuring system reliability, scalability, and cost-efficiency. The ideal candidate thrives in fast-moving environments, brings a DevOps-first mindset, and has deep production experience with graph workloads on AWS.

Key Responsibilities:

Cloud & Infrastructure

• Architect and manage AWS environments, including Neptune, Lambda, ECS, EC2, S3, IAM, VPC
• Develop and optimize scalable ETL pipelines and data workflows using Step Functions, Batch, EventBridge
• Own infrastructure-as-code with Terraform: module design, remote state, and multi-environment support
• Ensure cloud environment stability, security, and cost efficiency

Data & Graph Systems

• Operate production-grade AWS Neptune clusters with performance tuning, data modeling, backups, and scaling
• Build resilient systems for graph querying (Gremlin, SPARQL) and API integration
• Drive observability using CloudWatch, OpenSearch, and alerting frameworks

DevOps & Automation

• Build and maintain CI/CD pipelines (GitHub Actions, GitLab CI, etc.)
• Containerize applications using Docker, manage deployments via ECS or EKS
• Automate infrastructure, API integrations, and internal tools in Python

Collaboration & Leadership

• Proactively identify bottlenecks, risks, and scaling challenges in platform architecture
• Mentor junior engineers and participate in architecture reviews
• Align closely with AI/data teams and contribute to strategic platform decisions

Qualifications

• 5+ years of experience in cloud infrastructure and data engineering
• Proven hands-on experience with AWS Neptune in production environments
• Strong command of AWS core services, including Lambda, ECS, Step Functions, and VPC
• Expertise in Terraform, Python, Docker, and CI/CD tooling
• Deep understanding of graph databases and query languages (Gremlin, RDF, SPARQL)
• Experience working with DevOps, monitoring, and production systems
• Strong communication skills with excellent documentation habits
• Must be fluent in English and available to work in U.S. Eastern Time Zone
• Must be local in U.S. (Remote within the U.S.)

Why This Role Matters

This is a critical hire for our U.S. delivery team and platform roadmap. The Cloud Data Engineer will ensure that our infrastructure evolves with client needs, delivers performance at scale, and sets the foundation for future AI and analytics systems. You'll help us move fast, stay reliable, and scale intelligently across the enterprise.