Principal Engineer

Mitratech

2d•$175,000 - $185,000•Remote

About The Position

About Engineering at Mitratech Legal Solutions Mitatech's engineering organization is a collaborative and dynamic environment where engineers have the autonomy to drive technical direction and innovate. Our engineers are passionate about building high-quality, scalable software solutions that meet the evolving needs of our customers and the legal technology industry. We're in the middle of an active shift toward AI-augmented engineering — using AI agents and tooling across the SDLC — and Principal Engineers play a central role in shaping how that transformation happens. About the Role 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.

Requirements

10+ years experience with .NET/C# with experience building and scaling production backend services.
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 Haves

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
Python, Java, or Go proficiency
PostgreSQL experience

Responsibilities

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