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, Node.js, 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.