Senior Computer Scientist

The Opportunity

Drive the technical vision and hands-on execution for enterprise-grade, business-critical applications powered by cloud-native architectures and cutting-edge AI practices. As a Senior Principal Engineer, you will architect scalable microservices, leverage AI-powered development workflows, mentor engineering talent, and partner with cross-functional teams to deliver secure, high-performing enterprise solutions.

Key Responsibilities

• Architecture Development: Architect, build, unit-test, and deploy cloud-native microservices, event-driven integrations, and RESTful APIs using Java, Spring Boot, and Azure or AWS.
• AI Innovation: Continuously apply AI development tools and Agentic AI frameworks (Cursor AI, GitHub Copilot, Claude) to elevate developer productivity, delivery velocity, and code quality.
• Cross-Functional Collaboration: Partner with Business Analysts, QA, Operations, and Release Management across the full SDLC, ensuring alignment with business goals and enterprise architecture standards.
• Technical Leadership Mentorship: Lead architecture reviews, establish engineering standards, and mentor junior engineers through code reviews and technical guidance.
• Production Operations Support: Assist QA with functional validation and support Operations in diagnosing and resolving complex production issues.
• Agile Excellence: Active participation in Scrum ceremonies including sprint planning, estimation, backlog refinement, and retrospectives.

What You Need to Succeed

• Experience: 15+ years of overall IT experience with 10+ years of hands-on Java application development and Spring Boot expertise.
• Architecture APIs: Proven background building RESTful microservices, event-driven architectures (Kafka), and distributed systems.
• Cloud Frontend: Cloud-native application development on Azure or AWS, combined with frontend proficiency in JavaScript and React.js.
• Data Design: Strong knowledge of SQL, relational database design, data structures, algorithms, and object-oriented design principles.
• AI Tooling: Demonstrated, hands-on experience accelerating development workflows using tools like Claude, Cursor AI, GitHub Copilot.
• Domain Agile: Deep experience with Agile (Scrum) delivery and integration with enterprise CRM platforms (Salesforce, MS Dynamics 365, Adobe Workfront) across Revenue, Compensation, or Staffing domains.
• Communication: Clear verbal and written communication skills to bridge technical trade-offs with both engineering teams and business stakeholders.

Technical Core Preferred Skills

• Core Stack: Java (Expert), Spring Boot, Microservices, REST APIs, Kafka, SQL, Azure or AWS.
• Systems Security: OAuth2/JWT, performance tuning, observability/monitoring, application security, and enterprise design patterns.
• DevOps Infrastructure: CI/CD pipelines, Docker, Kubernetes, and Infrastructure as Code (Terraform, Bicep, ARM).
• Observability: Azure Monitor, Application Insights, Prometheus, Grafana, ELK, or Splunk.
• GenAI: Hands-on exposure to GenAI technologies, LLM integration, MCP creation and building AI agents for enterprise applications.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.