Full Stack Engineer – AWS, Data Platforms & AI/W2 Only -- JOSDC5733393 - New York - Compunnel Inc.

Description

Role Overview

We are seeking a highly hands-on Full Stack Engineer with deep AWS cloud, security, and data governance experience to support enterprise-scale web applications and internal data platforms. The role is 60% backend / 40% frontend, with strong emphasis on secure cloud infrastructure, analytics, and emerging AI capabilities.

This position is ideal for engineers who have worked on data-heavy, governance-driven platforms and can operate comfortably across application development, cloud security, and AWS-native services.

Key Responsibilities

• Design and develop cloud-native, event-driven and REST/GraphQL APIs on AWS using Python.
• Build backend services using AWS Lambda, ECS, or EKS, following security and reliability best practices.
• Develop and maintain frontend applications using Angular (current) and React (new development).
• Integrate data across S3, Aurora, Neptune, and AWS Glue Data Catalog.
• Implement messaging workflows using SQS and SNS.
• Design and enforce secure access controls using IAM and AWS Lake Formation.
• Contribute to Terraform-based infrastructure and CI/CD pipelines.
• Build and support internal data portals, analytics platforms, or catalog-style applications.
• Collaborate with product, architecture, security, and data engineering teams.
• Demonstrate strong engineering discipline, documentation, and communication skills.

Must-Have Qualifications

• Strong AWS-focused full stack engineering experience in enterprise production environments.
• Proven hands-on experience with cloud infrastructure, risk management, security, and data governance on AWS.
• Deep expertise in AWS IAM, including role design, least-privilege access, cross-account access, and policy management.
• Hands-on experience implementing data security and governance using AWS Lake Formation, including fine-grained permissions.
• Strong understanding of secure data access patterns across S3, Aurora, Neptune, and Glue-managed datasets.
• Experience working with data governance frameworks, metadata-driven access models, or regulated data environments.
• Backend development experience using Python with Lambda, ECS, or EKS.
• Frontend development using Angular and/or React with TypeScript.
• Experience with Terraform or Infrastructure-as-Code in governed cloud environments.
• Experience building or contributing to internal data platforms, data portals, or data catalog applications.

Preferred / Nice-to-Have

• Experience with Amazon QuickSight (dashboards, datasets, permissions).
• Exposure to Amazon Bedrock and agentic AI concepts.
• Experience with DataZone or metadata-driven platforms.
• Strong DevOps or platform engineering background.
• Experience working in large, complex enterprise ecosystems.