Cloud Engineer - Full Stack Developer

As a Full Stack Cloud Engineer, you’ll build and modernize scalable AWS-based applications — developing backend services, APIs, and integrations while also contributing to frontend dashboards and user interfaces.

One engagement you may be migrating and refactoring a legacy application into a serverless, microservices architecture using Lambda and API Gateway, the next you’re building full-stack cloud-native applications using React, Python, or Java with secure, event-driven AWS services.

You’ll collaborate closely with clients and project teams to design solutions, improve architectures, and deliver modern cloud applications that are secure, scalable, and business-driven.

What You’ll Do

• Assisting in the designing and building modern and highly scalable cloud-based applications for customers
• Migrating and modernizing customer legacy applications using AWS services

Working with Project Managers and clients to provide recommendations and technology roadmaps to meet their business needs

• Actively participating in team meetings and cross-functional interactions
• Keeping team members and supervisors informed of progress and issues
• Actively contributing to client project status meetings
• Contributing to R&D projects to validate/invalidate new services offerings
• Remaining current with technology trends and new technologies
• Proposing the latest technology usage and integration standards
• Developing and managing backend infrastructure, APIs and integrations to support cloud-based solutions, using programming languages like Python, Java, and PHP
• Participating in code reviews, document infrastructure-as-code, and assist with UI/UX
• Building out frontend interfaces and dashboards for applications and infrastructure using languages like Angular and React
• Utilizing best practices for security, compliance, and business continuity in cloud solutions

Required Skills

• 5+ years’ experience as a cloud engineer with hands-on expertise across AWS cloud services
• Strong experience with infrastructure-as-code tools like CloudFormation
• Experience coding in multiple languages including Node.js, Python, Angular, React, .NET Core, .NET Framework
• Experience using AWS platforms including but not limited to Cognito and Amplify
• Understanding of modern app architectures in cloud environments
• Able to collaborate with cloud engineer and project management teams

Preferred

• AWS Certification(s) a must have (can be obtained upon hire) - minimum requirement at 90 days is AWS Certified Developer Associates
• In-depth experience with one or more programming languages like Java, JavaScript, Python, C# used for developing cloud-native applications.
• Understanding of cloud computing concepts - IaaS, PaaS, serverless, containers etc.
• Working knowledge of Amazon Web Services - key services like EC2, S3, Lambda, API Gateway, ECS, Fargate, RDS etc.
• Experience using AWS command line tools and SDKs to manage infrastructure as code
• Building, deploying, managing microservices applications on AWS
• Working with AWS data storage solutions like DynamoDB, NoSQL, and Aurora RDS
• Experience with containers & orchestration platforms like Docker, Kubernetes on AWS Security best practices for applications in the public cloud
• Experience with CI/CD pipelines and automated testing
• Building event-driven architectures on cloud platform
• Using infrastructure as code tools like CloudFormation
• Frontend JavaScript frameworks like React
• Machine learning capabilities like SageMaker
• Leveraging serverless architectures where applicable

The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate’s professional experience, key skills, and education/training.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.

If you would like more information about how your data is processed, please contact us.