Principal Software Engineer

We are looking for a Principal Software Engineer with at least 15 years of experience writing software. This is a fully hands-on role, requiring daily coding (~100%) and a passion for building systems from the ground up. You should thrive on solving complex technical challenges in a cloud-first environment, with a strong focus on development and implementation.

In this role, you ll lead projects to design and build applications that run in the cloud. You ll use Microsoft Azure and work with artificial intelligence (AI), machine learning (ML), and systems where software agents work together to get things done.

How you will contribute

• Write code in C#, Java, or Python, this is a 100% hands-on coding role.
• Design and develop cloud-based agentic systems from the ground up.
• Design systems with Azure-native constructs like Functions, Durable Tasks, Event Grid, and API Management.
• Develop tools and systems that will track how other systems are performing and make sure they're working as expected.
• Experiment rapidly with new SDKs and cloud services, designing architectures that adapt to evolving AI and agentic workflows.
• Build cloud applications and services that are fast, reliable, and easy to maintain using modern programming languages.
• Make big design decisions about how our systems should be built.
• Connect apps to APIs, databases, and services used in machine learning or data analytics.
• Build systems that run without dedicated servers and design them so they can easily grow with demand.
• Follow and promote good coding practices, like testing, design patterns, and system monitoring. Help teammates by giving feedback on their code and helping solve technical problems.

Qualifications

• 12-15+ years writing software, including back-end and full-stack experience.
• Excellent coding skills in C#, Java, or Python. This is a full-time coding role.
• Expertise in Azure SDKs and Cognitive Services (or similar technologies at other cloud providers).
• Expertise in building cloud-based systems and microservices from scratch.
• Able to quickly pick up and use new technologies.
• Know how to build machine learning pipelines and work with AI tools like RAG and LLMs.
• Experience building serverless systems and tools such as state machines or event systems to manage complex tasks.
• Knowledge of data lakes, data mesh, or real-time data tools like Apache Beam or Spark.
• Comfortable with rapid experimentation and iterative development using evolving SDKs and ML frameworks.
• Depth of security, compliance, and ways to keep cloud systems efficient and cost-effective.
• Strong teamwork and communication skills, especially in agile environments.

Nice to Have

• Fine tuning LLMs.
• Familiar with GraphQL, gRPC, or tools for streaming data like Kafka.
• Experience building internal tools or platforms used by other developers is a bonus.