Principal Software Engineer
Tasks
- Build SaaS applications
- Build agentic AI systems
- Build event-driven integrations
- Communicate with product security DevOps SRE QA
- Deploy with Docker and Kubernetes
- Design RESTful APIs
- Design scalable microservices
- Ensure AI security, privacy, compliance
- Establish AI coding best practices
- Generate tests and documentation with AI tools
- Guide service boundaries data ownership integration patterns
- Identify technical risks
- Implement MCP style patterns
- Implement evaluation monitoring feedback loops
- Lead AI driven development patterns
- Lead SDLC design code testing deployment support
- Leverage AI-assisted development tools
- Maintain CI CD pipelines observability and safe deployments
- Manage technical tradeoffs
- Mentor engineers through reviews and pairing
- Mitigate hallucinations
- Modernize legacy systems
- Orchestrate LLM workflows
- Own end-to-end feature delivery
- Provide technical leadership across teams
- Run independent project workstreams
- Serve as technical escalation point
- Set architectural standards
- Translate business requirements into software
- Work with relational and NoSQL databases
- Write production-quality code
Perks/Benefits
- N/A
Skills/Tech-stack
.NET | ASP.Net Core | AWS | Agentic AI | Agile | Angular | Azure | C# | CI/CD | Context Management | Distributed Systems | Docker | Event Driven | Event Streaming | Event-driven architecture | Git | Hallucination mitigation | Kubernetes | LLM | Message Queues | Microservices | NoSQL | PostgreSQL | REST API | React | Redis | Retrieval-Augmented Generation | SQL Server | Structured Output | Testing | Tool-Calling | Vector Databases | Workflow Orchestration
Education
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