Senior Software Engineer - Full Stack

 

Senior Software Engineer - Full Stack

 

What you will be doing:

The Senior Software Engineer (Full Stack) independently designs and delivers complex features across the full technology stack. This role leads frontend and backend development within an agile team, architects scalable REST and GraphQL APIs, and drives cloud-native deployment practices on Azure, GCP, and AWS. The Senior Engineer mentors peers, contributes to engineering standards, and acts as a technical anchor for team-level delivery commitments. Active and proficient use of AI-assisted development tools (GitHub Copilot Enterprise, Claude Code) is a core expectation at this level – both for personal productivity and for modeling best practices within the team.

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 Architecture – 35%

• Design Architect and implement scalable UI components using React, Angular, or Vue. Optimize performance, ensure accessibility, and integrate design systems.

Backend & Data Engineering – 35%

• Design and implement APIs, microservices, and data models using Node.js, Python, .NET, or Java. Manage relational and NoSQL databases, caching, and message queues. Deploy and manage services on Azure, GCP, or AWS. Integrate with data platforms (Databricks) where the team’s product domain requires it.

DevOps & Reliability – 20%

• Configure CI/CD pipelines, containerize applications, and deploy to cloud platforms (Azure, GCP, AWS). Implement monitoring, logging, and incident response practices using Grafana and cloud-native observability tools. Integrate AI-assisted development tools into team workflow – including Claude Code and GitHub Copilot Enterprise – and drive adoption of Agentic SDLC practices that accelerate delivery.

Mentorship & Collaboration – 10%

• Mentor junior engineers through hands-on code review, pair programming, and design collaboration. Model proficient use of AI-assisted development tools and help less-experienced engineers build effective AI-augmented workflows.

​Required Qualifications

Work Experience:

Years of Applicable Experience - 7 or more years

Education:

Bachelors (Required)

 

Required Certifications/Licensing

None required; Azure Developer Associate (AZ-204), AWS Developer Associate, or equivalent preferred

Preferred Qualifications

Skills:

Required:

• Advanced proficiency in React or Angular; component architecture and performance optimization

• Strong backend development in Node.js, Python, or .NET; microservices design

• REST and GraphQL API design and implementation

• CI/CD pipeline ownership in Azure DevOps or GitHub Actions

• Cloud-native development on Azure (App Service, Functions), GCP (Cloud Run), or AWS (Lambda, ECS, EKS)

• Relational database design and query optimization (MS SQL or PostgreSQL)

Preferred:

• Infrastructure-as-code experience (Terraform or Bicep)

• Palantir Foundry or Databricks for data-integrated applications (preferred; required for data platform teams)

• Containerization (Docker, Kubernetes, or Azure Container Apps)

• Observability tooling (Grafana, Application Insights) Proficient use of AI-assisted development tools (Claude Code, GitHub Copilot Enterprise) as a delivery accelerator

Experience:

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

• Object-Oriented and functional design patterns; system design fundamentals

• Cloud-native services (Azure App Service, Functions, GCP Clou