Technical Lead for Cloud-Native Software Development
3 weeks ago
We are seeking an experienced Technical Lead to drive the design, development, and implementation of cloud-native software solutions. As part of our engineering team, you will play a key role in making high-level design choices and decisions for software projects to create end-to-end solutions that align with business goals.
• Manage the development and implementation of software solutions leveraging modern web technologies, including React/Flutter and Python/REST microservices.
• Translate business needs and requirements into technical requirements for software applications to design scalable and reliable distributed systems using cloud-native technologies.
• Guide the software development process through high-level decision making, ensuring adherence to architectural standards and design principles.
• Define and document application architecture, design, and plan implementation of software solutions.
• Influence, coach, mentor, provide guidance and support to software engineers, programmers, testers, and other team members throughout the project lifecycle.
• Create and maintain design and code standards, conduct technical reviews, and ensure software solutions are scalable, performant, and reliable.
• Ensure successful project delivery by identifying and mitigating technical risks.
• Lead by example by contributing high-quality code, maintaining code, identifying and resolving technical issues and challenges.
• Stay updated on industry trends, emerging technologies, and best practices to continually enhance our solutions.
Salary: $150,000 - $200,000 per year, depending on experience.
We offer a competitive salary package, including benefits such as access to experienced sports coaches and physiologists for continuous learning and mentorship.
The ideal candidate will have a solid understanding of software design and architectural patterns, with experience designing and developing Python applications, including frameworks like Flask and FastAPI.
Familiarity with cloud computing platforms, preferably Google Cloud Platform (GCP), and hands-on experience with building and managing scalable, distributed systems using cloud-native technologies is required.
A strong understanding of relational database management systems (RDBMS) such as PostgreSQL or MySQL, caching systems (Redis), and data processing libraries like Pandas and NumPy for advanced analytics and machine learning tasks is essential.
Experience with common software development tools and services, such as version control software (e.g., Git), code review processes, package managers, testing framework (e.g. Playwright or Pytest), continuous integration/continuous deployment (CI/CD) pipelines, operational and monitoring tools, and principles is also required.
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