RYZ Labs

Nearshore AI engineering for enterprises.

Tech Lead

Backend EngineeringPosted on Nov 11

Full-timeBuenos Aires, ArgentinaNo salary listed

About the Job

Requirements

Strong experience with C# and .NET in production environments.
Solid understanding of microservices architecture and distributed systems.
Experience designing and developing RESTful APIs and service integrations.
Hands-on experience with Microsoft Azure and cloud-based application architectures.
Experience working with SQL databases, particularly SQL Server.
Knowledge of containerization technologies such as Docker and Kubernetes.
Experience with CI/CD pipelines and automated software delivery processes, particularly Azure DevOps.
Strong understanding of Git workflows, pull requests, and code review practices.
Experience with software architecture, design patterns, and engineering best practices.
Familiarity with TypeScript and React Native to support cross-team technical discussions and integration needs.
Experience working in Agile/Scrum development environments.
Strong technical communication, problem-solving, and mentoring skills.

Responsibilities

Provide technical leadership and direction within an established engineering scrum team.
Lead technical design discussions and contribute to architectural decisions related to platform modernization.
Guide the decomposition of monolithic application components into independent microservices.
Define and review service boundaries, API contracts, integration patterns, and technical implementation approaches.
Conduct code reviews and ensure adherence to engineering standards, coding practices, and architectural guidelines.
Mentor and support software engineers, helping them solve complex technical challenges and improve engineering practices.
Identify technical risks, dependencies, and blockers, proactively proposing solutions.
Drive improvements in code quality, application performance, scalability, reliability, and maintainability.
Support the evolution of CI/CD pipelines and modern software delivery practices.
Promote secure software development practices, automated testing, documentation, and technical traceability.
Collaborate with cross-functional stakeholders to ensure technical solutions meet product and business requirements.
Participate in Agile ceremonies, including sprint planning, daily stand-ups, backlog refinement, sprint reviews, and retrospectives.
Demonstrate completed work during sprint showcases.
Leverage approved AI-assisted engineering tools to improve development productivity, code reviews, testing, and documentation while maintaining accountability for all delivered work.
Ensure AI-generated code and engineering artifacts follow the same standards as manually produced work.

Desired Qualifications

Experience migrating monolithic applications into microservices using incremental modernization approaches, such as the Strangler Pattern.
Knowledge of event-driven architectures and asynchronous messaging.
Experience with API gateways, distributed tracing, observability, and application monitoring.
Familiarity with infrastructure as code and cloud automation.
Experience implementing resilience patterns, including retries, circuit breakers, and health checks.
Previous experience in regulated software environments, particularly GxP, life sciences, or quality management SaaS.
Knowledge of data integrity principles, ALCOA+, audit trails, and change control.
Experience with AI-assisted software engineering tools such as GitHub Copilot.

Remote position, open for professionals based in Argentina.

At Ryz Labs, we are looking for an experienced Tech Lead to provide technical direction and leadership within an existing engineering scrum team responsible for a major platform modernization initiative.

This person will be responsible for guiding technical decisions, defining and reviewing software designs, ensuring code quality, mentoring engineers, and helping the team successfully deliver complex engineering initiatives.

The ideal candidate combines strong hands-on software engineering experience with technical leadership capabilities, particularly in C#, .NET, microservices architecture, and Microsoft Azure.

The Tech Lead will work closely with the existing Engineering Manager, Product Owner, and other technical stakeholders, contributing to architectural discussions and ensuring that engineering solutions align with the platform's long-term technical strategy.

Key Responsibilities

• Provide technical leadership and direction within an established engineering scrum team.

• Lead technical design discussions and contribute to architectural decisions related to platform modernization.

• Guide the decomposition of monolithic application components into independent microservices.

• Define and review service boundaries, API contracts, integration patterns, and technical implementation approaches.

• Conduct code reviews and ensure adherence to engineering standards, coding practices, and architectural guidelines.

• Mentor and support software engineers, helping them solve complex technical challenges and improve engineering practices.

• Identify technical risks, dependencies, and blockers, proactively proposing solutions.

• Drive improvements in code quality, application performance, scalability, reliability, and maintainability.

• Support the evolution of CI/CD pipelines and modern software delivery practices.

• Promote secure software development practices, automated testing, documentation, and technical traceability.

• Collaborate with cross-functional stakeholders to ensure technical solutions meet product and business requirements.

• Participate in Agile ceremonies, including sprint planning, daily stand-ups, backlog refinement, sprint reviews, and retrospectives.

• Demonstrate completed work during sprint showcases.

• Leverage approved AI-assisted engineering tools to improve development productivity, code reviews, testing, and documentation while maintaining accountability for all delivered work.

Required Technical Skills & Experience

• Strong experience with C# and .NET in production environments.

• Solid understanding of microservices architecture and distributed systems.

• Experience designing and developing RESTful APIs and service integrations.

• Hands-on experience with Microsoft Azure and cloud-based application architectures.

• Experience working with SQL databases, particularly SQL Server.

• Knowledge of containerization technologies such as Docker and Kubernetes.

• Experience with CI/CD pipelines and automated software delivery processes, particularly Azure DevOps.

• Strong understanding of Git workflows, pull requests, and code review practices.

• Experience with software architecture, design patterns, and engineering best practices.

• Familiarity with TypeScript and React Native to support cross-team technical discussions and integration needs.

• Experience working in Agile/Scrum development environments.

• Strong technical communication, problem-solving, and mentoring skills.

Nice-to-Have Skills

• Experience migrating monolithic applications into microservices using incremental modernization approaches, such as the Strangler Pattern.

• Knowledge of event-driven architectures and asynchronous messaging.

• Experience with API gateways, distributed tracing, observability, and application monitoring.

• Familiarity with infrastructure as code and cloud automation.

• Experience implementing resilience patterns, including retries, circuit breakers, and health checks.

• Previous experience in regulated software environments, particularly GxP, life sciences, or quality management SaaS.

• Knowledge of data integrity principles, ALCOA+, audit trails, and change control.

• Experience with AI-assisted software engineering tools such as GitHub Copilot.

AI-Assisted Engineering & Regulatory Compliance

Our client is an AI-forward engineering organization. The Tech Lead is expected to promote the effective use of approved AI tools across development, testing, code review, and documentation.

At the same time, the role requires ensuring that AI-generated code and engineering artifacts follow the same standards as manually produced work.

About the Company

RYZ Labs

Nearshore AI engineering for enterprises.

Ryz Labs builds AI products for enterprises and platform companies by embedding senior Latin American AI engineers in a forward-deployed, nearshore model. They provide teams that design, build, and ship production AI apps, agents, and data products, primarily on Azure and other major clouds, working in US time zones. Clients include Univision, Fanatics, Serve Robotics, and Vayo Travel. The service lets clients hire senior LatAm AI engineers or full nearshore AI development teams in weeks rather than months. Their goal is to help enterprise customers accelerate AI product development with distributed, experienced teams that integrate with the client’s existing tech stack.

Company size: 51-200
Company stage: Not listed
Total funding: Not listed
Headquarters: Los Angeles, CA
Founded: 2021

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