Senior Cloud Solutions Engineer

General Dynamics

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Silver Spring, MDBethesda, MD
Salary
$129,813–$166,750 / yr
Posted
13 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $175k
This role $148k
$120k most similar roles pay here $219k

This role pays less than 72% of similar roles. Most pay $140,837–$208,707 — the shaded band above. At the midpoint, this role pays about $148k versus about $175k for comparable roles.

Based on 240 similar postings.

Employer

About General Dynamics

General Dynamics is a global aerospace and defense company offering a broad portfolio of products and services in business aviation, ship construction, land combat vehicles, and information technology. It serves customers in the U.S. government, allied governments, and a diverse array of commercial markets.

General Dynamics currently has 1123 open roles on FindRole.

Listed pay typically runs $124,093–$150,385 across 984 roles with salary data.

Most-posted roles

View all roles at General Dynamics

At a glance

TL;DR · Senior Cloud Solutions Engineer

Senior Cloud Solutions Engineer joins the CIT Hosting and Storage Services Program to support ChIRP, a custom generative AI platform for the National Institutes of Health research community. This role serves as a technical lead within the Cloud DevOps team, where you will architect, build, and evolve secure, scalable cloud solutions for multimodal LLMs, Retrieval-Augmented Generation, vector search, and agentic capabilities. You will collaborate with developers and security teams to translate complex requirements into infrastructure plans while managing end-to-end Azure services including compute, networking, identity, and storage. Key responsibilities include developing Terraform modules, implementing CI/CD pipelines, and optimizing performance through telemetry and automation. The role requires expertise in Microsoft Azure, Infrastructure as Code, Python, PowerShell, or TypeScript to solve technical challenges related to high-performance scientific research and advanced AI integration within a regulated environment.

What you'll do

  • Architect, implement, and evolve Azure cloud solutions for generative AI platforms including LLMs, RAG, and vector search.
  • Translate research requirements from stakeholders into scalable cloud architectures and detailed engineering plans.
  • Engineer end-to-end Azure solutions incorporating compute, storage, networking, identity management, and security protocols.
  • Develop and maintain Terraform modules and automation scripts to manage infrastructure and improve operational efficiency.
  • Design and integrate DevOps and CI/CD pipelines for automated deployment, testing, and security scanning.
  • Monitor and optimize system performance, cost, and reliability using logging, telemetry, and incident response tools.
  • Serve as a technical lead by mentoring engineers and communicating complex architectural trade-offs to stakeholders.

What we're looking for

  • Must possess a Bachelor’s degree or equivalent experience.
  • Must have 8+ years of relevant IT experience in enterprise cloud environments.
  • Must have deep hands-on experience with Microsoft Azure across compute, networking, storage, and security.
  • Must have experience implementing modern AI/LLM architectures including RAG patterns and vector search.
  • Must have strong Infrastructure as Code (IaC) skills using Terraform to automate infrastructure.
  • Must possess expertise in cloud networking, identity management (Entra ID), and security controls.
  • Must have experience with DevOps practices and CI/CD pipelines for automated deployment and testing.
  • Must be able to obtain and maintain a Public Trust (T1) clearance.

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