Senior Cloud Engineer (AWS)

Paces Ai Inc
Princeton, United States of America
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Shift work
Languages
English
Experience level
Senior
Compensation
$ 138K

Job location

Princeton, United States of America

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Business Analytics Applications
Application Services
Cloud Engineering
Relational Databases
Software Debugging
Identity and Access Management
Interoperability
PostgreSQL
Systems Architecture
Amazon Web Services (AWS)
Cloud Platform System
Spark
Backend
Cloudformation
Data Layers
Build Management
Build Tools
Front End Software Development
Functional Programming
Api Gateway
REST
Amazon Web Services (AWS)
Data Pipelines
Serverless Computing

Job description

We're looking for a New Jersey based senior cloud engineer to help design, build, and operate our core AWS-based platform supporting AI, data, and connected systems.

This is a hands-on role working across infrastructure, data pipelines, and application services. You will partner closely with leadership to shape the architecture and ensure the system is scalable, secure, and production-ready.

Responsibilities

  • Design and build cloud-native infrastructure and services on AWS

  • Develop backend services and APIs

  • Build and operate data pipelines for ingestion, transformation, and analytics

  • Implement infrastructure as code using AWS CDK and CloudFormation

  • Contribute to system architecture and technical direction

  • Ensure systems are reliable, secure, and cost-efficient in production

  • Troubleshoot issues across infrastructure, application, and data layers

Requirements

  • Strong hands-on experience with AWS (compute, networking, storage, security)

  • Experience building and operating production systems using infrastructure as code (CDK, CloudFormation, or similar)

  • Experience designing and building backend services and REST APIs

  • Experience working with relational databases (PostgreSQL or similar)

  • Familiarity with event-driven and serverless architectures (Lambda, API Gateway, SQS, etc.)

  • Ability to debug and resolve issues across the full stack

Preferred Experience

  • Experience building data pipelines or analytics platforms (e.g., Glue, Athena, Spark)

  • Experience with CI/CD pipelines and multi-environment deployments

  • Familiarity with identity and access management and authentication systems

  • Experience working with frontend applications at a working level

  • Exposure to IoT, edge systems, or device integration

What Matters in This Role

We are looking for someone who:

  • Can work across infrastructure, application, and data layers without strict boundaries

  • Understands how to build systems that are secure and maintainable

  • Is comfortable diagnosing issues in production environments

  • Makes pragmatic decisions and avoids over-engineering

  • Takes ownership and can move work forward independently

Additional Context

Our development workflow makes active use of AI-assisted tools. Experience working effectively with these tools, including generating, reviewing, and validating code, is a strong advantage.

Benefits & conditions

Pulled from the full job description

  • Flexible schedule

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