Principal Engineer

Role Description

As a Principal Engineer at Mitratech, you will drive technical direction for a significant product domain or platform capability, partnering with cross-functional and cross-country teams to deliver high-impact solutions. You will have a significant scope of impact, influencing the technical roadmap and elevating engineering craft across multiple teams. You'll also help lead the org's adoption of agentic AI tools and practices — from how we review AI-generated code to how we architect systems so agents can contribute safely and effectively.

What You Will Do

• Drive technical direction for a significant product domain or platform capability, ensuring alignment with company goals and customer needs.
• Reduce systemic complexity by identifying and leading architectural debt remediation efforts, improving overall system reliability and maintainability.
• Partner with Product and Engineering leadership to assess multi-quarter roadmap feasibility, providing technical guidance and recommendations.
• Elevate engineering craft across multiple teams through Request for Comments (RFCs) and mentorship, promoting best practices and knowledge sharing.
• Collaborate with cross-functional and cross-country teams to design and implement scalable, high-quality software solutions, ensuring timely delivery and customer satisfaction.
• Shape how the team reviews AI-generated code and supervises AI agents, and adapt architecture so codebases are ready for agentic contribution.
• Own cookbook and knowledge-base standards that make institutional knowledge and best practices consumable by both engineers and AI agents.
• Evaluate and help standardize agentic development tools across engineering, balancing velocity gains against cost, security, and quality risk.

Qualifications

• 10+ years experience with the following:
• Proficiency in .NET/C# with experience building and scaling production backend services. Plus would be: Python, Java, or Go.
• Experience designing, building, and integrating AI/ML-powered features, including third-party LLM services.
• Working understanding of LLM behavior — prompt design, output evaluation, and handling non-deterministic results in a product context.
• Hands-on experience using agentic coding tools or AI pair-programming assistants (e.g. Claude Code, GitHub Copilot, or similar) in real production workflows, with sound judgment on when to trust vs. verify AI-generated output.
• Experience adapting review processes, documentation, or architecture to support AI-agent contribution to a codebase.
• Experience with relational databases, such as Microsoft SQL Server, PostgreSQL, including data modeling and query optimization.
• Familiarity with a major cloud platform, such as AWS, Azure, or GCP, including deployment, scaling, and infrastructure management.
• Strong understanding of software design patterns, principles, and methodologies, with the ability to apply them to complex problems.
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional and cross-country teams and stakeholders.

Nice to Have

• Experience with containerization using Docker and Kubernetes.
• Knowledge of agile development methodologies, such as Scrum or Kanban.
• Familiarity with DevOps practices and tools, such as CI/CD pipelines and monitoring systems.

The Stack Context

• Backend: primarily .NET/C#, with some services in Python, Java, and Go.
• Data: Microsoft SQL Server as the primary relational stores. PostgreSQL is a plus.
• Cloud: workloads run across AWS and Azure, depending on product line.
• AI/agentic tooling: agentic coding assistants (e.g. Claude Code) in active pilot across engineering, plus an internal cookbook/knowledge-base initiative for AI-consumable documentation.

Benefits

• Health, Dental & Vision Insurance *
• 401 (k) + Employer Match *
• Unlimited PTO + 11 Paid Holidays + 4 Annual Paid Global Wellness Days Off
• STD, LTD & Group Life Insurance
• Paid Parental Leave
• Pet Insurance
• FSA & HSA Options
• Employee Assistance Program

Perks

• Remote Work
• Career Advancement & Professional Development Opportunities
• Employee Recognition
• LinkedIn Learning Platform