Senior Software Engineer

About the Role

Key Responsibilities

• Write clean, maintainable code in C#, Typescript, or Python.
• Design and implement cloud-native, agent-based systems from the ground up.
• Leverage Azure-native services such as Azure Functions, Durable Functions, Event Grid, and API Management.
• Develop monitoring and diagnostic tools to ensure system reliability and performance.
• Rapidly prototype and experiment with new SDKs, APIs, and services to support dynamic AI and agentic workflows.
• Build scalable, performant, and maintainable cloud applications and services.
• Make architectural and design decisions that influence long-term system direction.
• Integrate applications with APIs, databases, and machine learning or analytics tools.
• Design and build serverless and event-driven architectures that scale with usage.
• Advocate and follow best practices in software engineering, including unit testing, design patterns, and system observability.
• Conduct code reviews and mentor peers to uphold high technical standards.

Requirements

• 7-10+ years of professional software development experience in backend or full-stack roles.
• Strong coding proficiency in one of the programming languages: C#, Java, or Python.
• Hands-on experience with Azure SDKs, Azure Cognitive Services, or equivalent cloud platforms.
• Demonstrated expertise in designing and developing scalable microservices and distributed systems.
• Experience with AI/ML technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and building ML pipelines.
• Practical knowledge of autonomous agents, multi-agent systems, AI orchestration frameworks, and tools such as LangChain, AutoGen, or Semantic Kernel.
• Solid understanding of serverless architecture and orchestration tools (e.g., state machines, event-driven systems).
• Ability to learn and adapt quickly to new technologies.
• Comfort working in agile, fast-paced, and iterative development environments.
• Understanding of cloud security, compliance, and cost optimization best practices.
• Strong collaboration and communication skills.

Nice to Have

• Experience with Microsoft Copilot Studio and building custom copilots using generative AI.
• Experience fine-tuning Large Language Models (LLMs).
• Familiarity with GraphQL, gRPC, or streaming technologies.
• Experience building developer tools or platforms.
• Familiarity with data lakes, data mesh, or real-time data processing tools such as Apache Beam or Apache Spark.

Qualifications

• Educational background is not explicitly specified, but extensive professional experience is required.

Benefits & Perks

• Healthcare plans, flexible spending and savings accounts, life, AD&D, and disability coverages.
• A 401(k) retirement savings plan with annual discretionary contributions.
• Paid time off including vacation, personal days, sick time, federal holidays, floating holiday, and parental leave.
• Hourly rate of $70-80 per hour.
• Opportunities for professional development, continuous learning, and career advancement.
• A collaborative, entrepreneurial culture with a focus on employee well-being.