Senior Cloud & AI Engineer - FAA/Public Trust (Remote)

Strategic Innovation Group LLC; Arlington (VA); Remote; USD 160,000 - 230,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Generous PTO

401(k) with match

Life insurance

Short-term disability

Long-term disability

Health savings account (HSA)

Job summary

Strategic Innovation Group LLC is seeking a Cloud/AI Engineer to design, develop, and deploy secure, scalable cloud-native and AI solutions supporting FAA programs. This role serves as a senior technical leader responsible for modernizing legacy systems, architecting enterprise cloud platforms, and developing production-grade AI applications, including LLMs, RAG, and agentic AI capabilities.

The successful candidate will collaborate with government stakeholders, product teams, and engineering

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• Cloud Engineer experience: 15+ years.
• AI Engineer experience: 1+ years.
• Experience delivering enterprise-scale technology solutions across public-sector and private-sector organizations.
• Hands-on experience in cloud engineering, cloud-based application development, and full stack software engineering.
• Proven track record designing, building, deploying, and operating production-grade applications spanning front-end interfaces, backend services, and cloud data platforms.
• Experience migrating legacy on-premises systems to the cloud and refactoring monolithic legacy codebases into microservices architectures and cloud-native tooling, using Docker, Kubernetes, serverless services, and cloud platforms such as AWS, Azure, or Google Cloud.
• Experience leading or executing migrations from on-premises data warehouses to cloud-based data warehouse platforms (e.g., Snowflake, Amazon Redshift, Google BigQuery, Azure Synapse).
• Strong proficiency in Python, JavaScript/TypeScript, React, FastAPI, SQL, Spark/PySpark, REST APIs, and modern software development frameworks.
• Expertise implementing CI/CD pipelines, DevOps practices, infrastructure automation (Terraform, CloudFormation).
• Experience integrating enterprise systems through APIs, event-driven architectures, workflow orchestration platforms, and distributed services.

Responsibilities

• Lead the design, development, deployment, and sustainment of secure, scalable cloud and AI solutions for FAA objectives.
• Collaborate with government stakeholders to translate requirements into mission-focused tech solutions.
• Modernize legacy systems and enterprise platforms through cloud transformation and app modernization.
• Promote architecture, engineering, security, and software development best practices.
• Provide technical leadership, mentoring, and guidance to engineering teams while supporting Agile delivery.
• Ensure solutions meet federal security, governance, and compliance requirements throughout the lifecycle.
• Develop and maintain technical documentation, architecture artifacts, and implementation plans.
• Evaluate emerging technologies and recommend improvements for performance and reliability.
• Perform other duties as assigned.

Skills

Cloud engineering

AI engineering

Enterprise-scale solutions

Full-stack development

Python

JavaScript/TypeScript

React

FastAPI

SQL

Spark/PySpark

REST APIs

CI/CD

DevOps

Terraform

CloudFormation

APIs integration

Event-driven architectures

MLOps

Stakeholder collaboration

Education

Bachelor's degree in Computer Science, Engineering, or a related technical field

Tools

Docker

Kubernetes

AWS

Azure

Google Cloud

Snowflake

Amazon Redshift

Google BigQuery

Azure Synapse

Job description

Strategic Innovation Group LLC is seeking a Cloud/AI Engineer to design, develop, and deploy secure, scalable cloud-native and AI solutions supporting FAA programs. This role serves as a senior technical leader responsible for modernizing legacy systems, architecting enterprise cloud platforms, and developing production-grade AI applications, including LLMs, RAG, and agentic AI capabilities.

The successful candidate will collaborate with government stakeholders, product teams, and engineering