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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in .NET/C# backend service development, AI/ML feature integration, and architectural design to enhance system reliability and maintainability. Proven ability to lead cross-functional teams, mentor engineers, and implement best practices in software development and AI-assisted coding.
Highest-signal resume keywords
10+ Years Experience.NET/C# ProficiencyAI/ML Feature IntegrationRelational Database ManagementCloud Platform Familiarity
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
.NET/C#PythonJavaGoAI/ML IntegrationRelational DatabasesMicrosoft SQL ServerPostgreSQLSoftware Design PatternsAI Pair-Programming Tools
Soft Skills
Excellent CommunicationCollaboration SkillsMentorship
Tools & Technologies
AWSAzureGCPClaude CodeGitHub Copilot
Industry Keywords
Architectural Debt RemediationCross-Functional TeamsScalable Software SolutionsKnowledge SharingAgentic Development Tools
Tech Stack
Tools & technologiesAWSAzureCloudGoGoogle Cloud PlatformJavaMS SQL Server.NETPostgresPythonSQL
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- 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.
Benefits
Comp & perks- 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
