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Vanguard

Full Stack Engineer – AI Automation, Cloud Engineering

Vanguard

. Develop and maintain cloud-based solutions and automation frameworks using AWS services .

Posted 10/27/2026full-timeUnited StatesMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and maintaining cloud-based solutions using AWS services, along with strong capabilities in automation frameworks and CI/CD pipeline design. Proficient in leveraging AI tools to enhance software delivery and collaborating effectively with cross-functional teams.

Highest-signal resume keywords
AWS Cloud ServicesCI/CD Pipeline DesignPython and/or Java DevelopmentREST APIs and MicroservicesGitHub and Source Control

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AWS LambdaS3API GatewayCloudWatchDynamoDBStep FunctionsSecrets ManagerDockerAutomation BotsDeveloper Platforms
Soft Skills
Analytical SkillsProblem-Solving SkillsCommunication Skills
Tools & Technologies
GitHub EnterpriseGitHub ActionsGitHub CopilotClaude CodeAmazon Bedrock
Certifications & Qualifications
Bachelor's Degree in Computer ScienceEngineeringInformation Technology
Industry Keywords
Cloud-Based SolutionsAutomation FrameworksDevOpsInfrastructure as CodeGenerative AIAgentic AI

Tech Stack

Tools & technologies
AWSCloudDockerDynamoDBJavaJavaScriptMicroservicesPythonTypeScript

About the role

Key responsibilities & impact
  • Develop and maintain cloud-based solutions and automation frameworks using AWS services
  • Provide intermediate-level system analysis, design, development, and implementation of applications and databases
  • Integrate third-party products
  • Design and support CI/CD pipelines using GitHub Enterprise and GitHub Actions
  • Build APIs, microservices, and developer productivity tools
  • Leverage AI tools such as GitHub Copilot, Claude Code, and Amazon Bedrock to accelerate software delivery
  • Participate in design, code, and test inspections throughout the life cycle
  • Participate in systems analysis activities
  • Elevate code into development, test, and production environments on schedule
  • Create automation solutions that reduce manual operational effort and improve team efficiency
  • Collaborate with product, business, and engineering teams to identify and implement automation opportunities
  • Participate in code reviews, testing, troubleshooting, and production support activities

Requirements

What you’ll need
  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field
  • Minimum of three years related work experience, with 2+ years of development experience
  • Hands-on experience with AWS Cloud Services, GitHub, Python and/or Java, JavaScript/TypeScript, REST APIs, databases, and microservices
  • Understanding of CI/CD, DevOps, and Infrastructure as Code concepts
  • Experience with source control, branching strategies, and code review processes
  • Strong analytical, problem-solving, and communication skills
  • Experience with AWS Lambda, S3, API Gateway, CloudWatch, DynamoDB, Step Functions, or Secrets Manager
  • Exposure to Generative AI and Agentic AI technologies
  • Experience with GitHub Copilot, Claude Code, Amazon Bedrock, Amazon Q, or similar AI platforms
  • Knowledge of Docker, automation bots, developer platforms, or internal tooling
  • Vanguard is not offering visa sponsorship for this position

Benefits

Comp & perks
  • Hybrid working model
  • Enhanced flexibility
  • In-person learning, collaboration, and connection
  • AWS Certification (Cloud Practitioner or Associate) is a plus