Senior Software Engineer

·Primary responsibilities

·Architecture and technical leadership

· Lead design reviews, and drive technical decisions on scalability, reliability, and maintainability.

· Translate product requirements into clean, well-tested implementations; author architecture decision records (ADRs) and developer documentation.

· Define and govern engineering quality standards, coding conventions, and peer review norms across the team.

·AI-assisted and agentic development

·AI-assisted development:Leverage GitHub Copilot, Claude Code, and comparable agentic coding assistants across code authoring, review, test generation, and documentation to increase quality and velocity.

·AI agent development:Design, build, and maintain AI agents and multi-agent workflows; define agent instructions, skills, memory, and tool integrations; evaluate agent behavior in production.

·MCP and tool integrations:Apply Model Context Protocol (MCP) or equivalent patterns to connect AI models to internal tools, APIs, and data sources for agentic workflows.

· Stay current with the agentic AI landscape; bring forward-looking proposals to the engineering team.

·Full-stack development and collaboration

· Build high-quality client-side and server-side code using modern frameworks; design RESTful APIs (OpenAPI standard); develop microservices on Azure or AWS.

· Write and execute comprehensive unit and integration test cases; troubleshoot deployment and environment issues across multiple projects.

· Mentor engineers, lead code reviews, and contribute actively to sprint ceremonies in a globally distributed Agile team.

Required qualifications

·Core

· Bachelor's in computer science or related field (or equivalent experience); 6+ years of progressive software development experience on a commercial product.

· Strong CS fundamentals: data structures, algorithms, system design, and distributed computing.

· Production-quality C# (.NET); React or comparable front-end framework; NUnit/xUnit testing; Git/Azure DevOps source control.

· Relational database experience (PostgreSQL, MySQL, SQL Server) with query optimization; RESTful API design; Agile/Scrum methodology.

· Demonstrated experience with performance engineering, scalability design, and observability practices (logging, metrics, distributed tracing) in production systems.

· Hands-on experience with AWS services including Lambda, ECS, RDS, API Gateway, CloudWatch, and related cloud-native tooling.

·AI and agentic development tools

· Hands-on use of GitHub Copilot, Claude Code, or Cursor to write, refactor, and review production code; ability to craft effective prompts and system instructions.

· Solid understanding of AI agents, skills, and tool-calling; ability to configure and evaluate agentic workflows for multi-step development tasks.

· Working knowledge of an LLM API or agent orchestration framework (Anthropic API, OpenAI API, LangChain, Semantic Kernel, or similar) is a strong plus.

Preferred qualifications

· HTML5, CSS, JavaScript/TypeScript with React or Next.js; cloud-native development on Azure or AWS; Docker and Kubernetes.