Tech Lead - Crypto & AI (Remote - Astra)

The Tech Lead - Crypto & AI role at Astra involves leading technical initiatives, mentoring full-stack developers, and actively contributing to the architecture and development of our cryptocurrency analytics platform. This position emphasizes collaboration with product managers to define technical requirements and roadmaps while fostering a culture of innovation and quality within the team.

Key qualifications for the Tech Lead - Crypto & AI position at Astra include proven experience as a Senior Full Stack Developer, strong skills in React and Node.js, and familiarity with cloud platforms such as GCP or AWS. Additionally, expertise in maintaining high code quality standards, conducting peer reviews, and strong leadership skills are essential.

Yes, Astra prefers candidates for the Tech Lead - Crypto & AI role who have a strong passion for cryptocurrency and blockchain technology. Familiarity with cryptocurrency protocols and ecosystems is highly desirable to effectively contribute to our analytics platform.

Candidates for the Tech Lead - Crypto & AI role at Astra should be proficient in React, Node.js, and have front-end experience in React Native. Knowledge of cloud platforms like GCP or AWS, as well as experience with AI/ML technologies, would be advantageous.

Important soft skills for the Tech Lead - Crypto & AI role at Astra include excellent communication and leadership abilities. The capacity to mentor junior developers, as well as collaborate effectively with team members and stakeholders, is crucial for fostering growth and success within the team.

Astra employs agile development methodologies in their projects, aiming for flexibility and responsiveness to change. Familiarity with DevOps practices and CI/CD pipelines will further benefit candidates in the Tech Lead - Crypto & AI role.

As a Tech Lead - Crypto & AI at Astra, you can contribute to open-source projects by actively engaging in GitHub activities. Astra values candidates with a history of annual GitHub contributions and encourages ongoing involvement in personal or community-driven projects to enhance coding proficiency and mentor others.

When mentoring junior developers, it's essential to create an open and supportive environment where they feel safe to ask questions and explore new ideas. Sharing code practices, conducting regular feedback sessions, and providing constructive criticism can foster their growth and confidence in their skills.

Designing a scalable application involves understanding the architecture components needed to handle increased load without compromising performance. Utilizing microservices, efficient database management, and cloud infrastructure along with load balancers helps achieve scalability.

Ensuring high code quality involves implementing coding standards, conducting thorough code reviews, and utilizing tests (unit, integration, etc.). Adopting tools for static code analysis can also help maintain quality across the team's contributions.

My experience with cloud platforms like GCP and AWS entails leveraging their services for deploying applications, managing databases, and using their analytics tools. Understanding how to optimize costs and performance on these platforms is central to successful deployment.

I stay updated with trends in cryptocurrency and AI by following industry-related blogs, participating in webinars, attending conferences, engaging in professional networks, and dedicating time to read research papers and reports on emerging technologies.

Implementing CI/CD processes involves establishing a pipeline that automates the building, testing, and deployment of applications. Utilizing tools like Jenkins or GitHub Actions allows teams to deploy code quickly and reliably, minimizing the chance of errors in production.

When handling conflicts within a development team, I approach the situation with empathy and open communication. Encouraging team members to express their viewpoints and facilitating a constructive dialogue can often lead to resolution and a stronger team dynamic.

My experience with DORA metrics includes using them to evaluate team performance in terms of lead time for changes, deployment frequency, mean time to restore service, and change failure rates. This data-driven approach promotes accountability and continuous improvement.

To ensure my team follows best practices, I promote an inclusive culture emphasizing knowledge sharing, regular training sessions, and the implementation of a robust code review process. Setting clear expectations from the beginning helps foster adherence to these practices.

In system design for new features, I typically lead discussions to gather requirements and assess various architectural options. Collaborating with the team to weigh pros and cons, I aim to select a design that not only meets the immediate needs but also scales effectively for future enhancements.