Tech Lead
1 week ago
We are seeking a hands-on
Tech Lead
to drive the technical vision, architecture, and execution of our new product development pod. You will work alongside a Product Lead to rapidly prototype and build MVPs using modern cloud-native technologies and AI-assisted development tools. This role combines architectural leadership with active coding to bring innovative ideas to life.
What You'll Do
Architecture & Development
- Own the technical architecture and hands-on development of prototypes and MVPs.
- Translate product requirements into scalable technical designs.
- Build end-to-end solutions with strong expertise in Java backend development and working knowledge of ReactJS (or similar frontend frameworks).
Cloud & AI-Driven Engineering
- Architect and deploy applications on cloud-native platforms (AWS/GCP/Azure).
- Leverage AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, Codeium) for faster prototyping and coding.
- Apply strong engineering practices: clean code, version control, CI/CD pipelines, and automated testing.
Leadership & Mentorship
- Mentor junior engineers as the team scales.
- Balance rapid execution with scalable, maintainable system designs.
- Promote engineering best practices and technical excellence.
Collaboration & Continuous Improvement
- Partner with the Product Lead to align business needs with technical feasibility.
- Drive experimentation and prototyping in a lean, startup-like environment.
- Continuously explore new technologies and methodologies to improve speed and quality.
What You Know
- 6+ years in software engineering, with at least 2 years as an architect or lead engineer.
- Proven experience in Java backend development and microservices.
- Experience designing cloud-native architectures (APIs, serverless, containerized solutions).
- Familiarity with ReactJS or similar frontend frameworks.
- Ability to leverage AI tools for accelerating development.
- Strong system design, documentation, and diagramming skills.
- Ability to balance rapid prototyping with long-term scalability.
- Excellent problem-solving and debugging skills.
- Ownership mindset and comfort in lean, fast-paced environments.
- Multi-language exposure (Python, , Go, etc.).
- DevOps/Infrastructure expertise (Docker, Kubernetes, Terraform, GitHub Actions).
- Prior startup or 0→1 product experience.
- Knowledge of security best practices for cloud-native apps.
Education
- Bachelor's degree in Computer Science, Software Engineering, or related field.
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