Full-Stack & Data Engineer – AWS, AI/ML, Remote

Remotely; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Remotely is seeking a versatile software engineer to work across full-stack, data engineering, and architectural tasks. You will collaborate with system engineers, data engineers, AI/ML specialists, frontend developers, and platform teams to build scalable, secure digital solutions.

The role emphasizes cloud-native design, data workflows, and secure engineering practices. This is a remote position with occasional travel for collaboration.

Qualifications

• Bachelor's degree in Computer Science or STEM field.
• Experience in software engineering, data engineering, or related technical roles.
• Experience with cloud platforms, preferably AWS.
• Frontend technologies such as JavaScript, HTML5, CSS, and frameworks such as Angular or React.
• Backend development using Python, Java, and related frameworks.
• Experience designing or supporting data pipelines, ETL/ELT processes, and integrations.
• Familiarity with CI/CD, automated testing, containerization, and cloud-native tools (Git, Docker, Kubernetes).
• Understanding of secure engineering practices and compliance in enterprise environments.

Responsibilities

• Design, build, and maintain end-to-end software and data solutions across cloud and distributed environments.
• Collaborate with cross-functional teams to deliver solutions aligned with enterprise architecture, shared platforms, and product priorities.
• Contribute to technical architecture decisions, including scalability, security, maintainability, and performance trade-offs.
• Develop and optimize data pipelines, integrations, APIs, and application services.
• Support AWS-based application, data, and AI/ML workloads, including orchestration, monitoring, and security.
• Integrate AI/ML capabilities into products and business workflows, including model deployment, inference pipelines, and monitoring.
• Partner with DevOps teams to improve CI/CD, automation, observability, and operational resilience.
• Write clean, secure, and maintainable code across frontend, backend, and data layers.
• Troubleshoot production issues, identify root causes, and implement durable fixes.
• Support security, compliance, and governance requirements, including standards such as NIST, GDPR, and SOX where applicable.
• Stay current on emerging technologies and contribute ideas that improve products, platforms, and engineering practices.

Skills

Full-stack dev

Technical architecture

Data engineering

AWS

JavaScript

Python

Java

CI/CD

Docker

Kubernetes

Security/compliance

ETL/ELT

Education

Bachelor's degree in Computer Science or STEM

Tools

Docker

Kubernetes

Gradle

Maven

Git

Job description

Remotely is seeking a versatile software engineer to work across full-stack, data engineering, and architectural tasks. You will collaborate with system engineers, data engineers, AI/ML specialists, frontend developers, and platform teams to build scalable, secure digital solutions.

The role emphasizes cloud-native design, data workflows, and secure engineering practices. This is a remote position with occasional travel for collaboration.