Software Engineer - Full Stack

 

Software Engineer - Full Stack

 

What you will be doing:

The Software Engineer (Full Stack) builds and maintains modern web applications across the full technology stack. Working with guidance from senior engineers, this role develops responsive user interfaces using React or Angular, implements REST APIs and backend services, and contributes to cloud deployments on Azure, GCP, or AWS. The engineer collaborates within an agile team to deliver scalable, tested, and user-centric solutions while developing core engineering practices. Active use of AI-assisted development tools (GitHub Copilot Enterprise, Claude Code) is a standard expectation of the SDLC workflow at this level.

In addition to traditional full-stack development, this role will operate across modern data and AI platforms, including environments such as Foundry and Databricks, where engineers design and build data-driven and intelligent applications. The Engineer is comfortable working at the intersection of application development, data platforms, and emerging AI capabilities—leveraging large-scale data pipelines, analytics infrastructure, and AI/ML services to power product features and decision-support systems. This includes collaborating on architectures that integrate operational software systems with data platforms and AI-enabled services to deliver scalable, insight-driven, and automation-enabled solutions.

Key Responsibilities

Frontend Development – 35%

• Build and maintain responsive UIs using React or Angular, HTML5, and CSS3. Implement component-based designs with attention to accessibility and performance, with guidance from senior engineers.

Backend Development – 35%

• Develop and maintain RESTful APIs and microservices using Node.js, Python, or .NET. Work with relational (MS SQL, PostgreSQL) and NoSQL databases and learn server-side design patterns. Participate in cloud deployments on Azure, GCP, or AWS, and develop familiarity with data platform integrations (Databricks) where applicable to the team.

DevOps & Collaboration – 30%

• Participate actively in code reviews, unit testing, and CI/CD deployment pipelines. Use Git for version control, contribute to Azure DevOps workflows, and collaborate with QA, product, and design partners within the team delivery model. Use AI-assisted development tools (GitHub Copilot Enterprise, Claude Code) as a default part of the SDLC – including code generation, automated test writing, and inline documentation.

​Required Qualifications

Work Experience:

Years of Applicable Experience - 4 or more years

Education:

Bachelors (Required)

 

Required Certifications/Licensing

 None required; Azure Fundamentals (AZ-900) or AWS Cloud Practitioner preferred

Preferred Qualifications

Skills:

Required:

• Proficiency in HTML5, CSS3, and JavaScript (ES6+)

• Experience with React or Angular for UI development

• Familiarity with at least one backend language: Node.js, Python, or .NET

• Understanding of RESTful API design and consumption

• Version control with Git; familiarity with Azure DevOps or GitHub Active use of AI-assisted development tools (GitHub Copilot Enterprise, Claude Code) as part of standard SDLC workflow

Preferred:

• Exposure to cloud platforms (Azure, GCP, or AWS)

• Basic CI/CD pipeline experience Basic familiarity with Databricks or data platform concepts

• Unit testing frameworks (Jest, PyTest, or equivalent)

Experience:

• React or Angular (advanced); Node.js or Python or .NET; REST & GraphQL API design; Terraform or IaC concepts

• Object-Oriented Programming and basic design patterns

• Relational databases (MS SQL or PostgreSQL); exposure to cloud platforms (Azure, AWS, or GCP); basic Databricks awareness

 

Additional Job Requirements:

• Remain in a stationary position for prolonged periods of time 

• Be adaptive and change priorities quickly; meet deadlines 

• Attention to detail 

• Operate computer programs and software 

• Ability to communicate effectively with audiences in person and in electronic formats.