Note: The job is a remote job and is open to candidates in USA. Mitratech is a dynamic engineering organization focused on building high-quality software solutions in the legal technology industry. As a Principal Engineer, you will drive technical direction for significant product domains, influence technical roadmaps, and lead the adoption of AI tools and practices across teams.
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
Skills
- 10+ years experience with proficiency in .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
- 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
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
- Remote Work
- Career Advancement & Professional Development Opportunities
- Employee Recognition
- LinkedIn Learning Platform
Company Overview