Tech Lead, .NET

Mutant

Tech Lead in software delivery teams at Mutant, mentoring members and ensuring code quality through technical leadership. Active participation in development and architecture decisions.

Posted 4/13/2026full-timeRemote • BrasilSeniorWebsite

Tech Stack

Tools & technologies

Azure.NETSOAP

About the role

Key responsibilities & impact

Serve as the technical reference for the technology team, influencing Dev, BI, and QA teams horizontally. Lead by technical example, through delivery quality and the dissemination of best practices.
Guide the understanding of requests from internal clients, responsible for effort estimation and distribution of tasks according to each squad member's technical profile.
Actively contribute with code (~50% of the time), working on development and evolution of solutions. Participate in architecture decisions and guide the team's technical choices.
Define and review technical standards and coding best practices. Identify technical debt and propose continuous improvement initiatives.
Monitor technical progress of activities and flag impediments.
Provide technical mentorship, supporting the individual growth of squad members and raising the team's collective technical level.
Support the technical onboarding of new members. Promote a culture of AI adoption within the team and lead initiatives for process automation and productivity gains.

Requirements

What you’ll need

Strong proficiency in C# / .NET, common software architectures (REST, microservices, event-driven), integration with REST and SOAP APIs, Git flow and versioning, technical effort analysis and estimation, code review and reading.
Advanced use of AI-assisted coding tools (GitHub Copilot, Cursor or similar), prompt writing for code generation, review and refactoring, critical assessment of AI outputs, basic understanding of LLM operation (context, tokens, temperature).
Intermediate knowledge of conversational bot and IVR ecosystems.
Understanding of DevOps and CI/CD, secure development best practices, and NLP applied to conversational solutions.
Advanced prompt engineering (few-shot, chain-of-thought), knowledge of leading models (GPT, Claude, Gemini and open-source), use of agents and AI automation flows (n8n, LangChain or similar), ability to identify productivity gains with AI in team processes.
Degree in Computer Science, Software Engineering, Information Systems or related fields.
Certifications in software architecture or Microsoft platforms (.NET, Azure) are a plus.
Courses focused on AI applied to development and prompt engineering.

Benefits

Comp & perks

Medical and dental coverage;
Life insurance;
Commuter subsidy (vale-transporte);
Meal and food allowances;
Wellhub (Gympass);
Childcare assistance;
Support for children with disabilities;
Performance bonus;
Birthday day off;
Alelo Multibenefits;
Allya - partnerships and discounts via the app;
Pet health plan;

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

C#.NETRESTmicroservicesevent-driven architectureREST APIsSOAP APIsGitAI-assisted coding toolsprompt engineering

Soft Skills

technical mentorshipinfluencingeffort estimationtask distributioncontinuous improvementtechnical onboardingcommunicationleadershipcollaborationproblem-solving

Certifications

Microsoft platforms certificationsoftware architecture certification