AI Team Lead
4 days ago
Overview:
We are looking for an experienced and proactive
Team Lead / Product Runtime Engineer
to lead cross-functional development teams and ensure smooth product runtime operations. The ideal candidate will have a strong technical background in
AI, backend, and frontend systems
, along with leadership experience in defining architecture, enforcing coding standards, and collaborating with DevOps for seamless deployment and runtime performance.
Key Responsibilities:
- Lead and mentor development teams across AI, backend, and frontend domains.
- Define and enforce
coding standards, best practices, and architecture guidelines
to ensure maintainable and scalable solutions. - Collaborate with
DevOps engineers
to design and optimize
runtime orchestration
, continuous integration, and deployment workflows. - Monitor product runtime performance, identify bottlenecks, and implement performance optimization strategies.
- Drive
technical reviews
, code audits, and system design discussions. - Coordinate with
product managers
to align technical execution with business goals and delivery timelines. - Troubleshoot and resolve production issues, ensuring system reliability and uptime.
- Research and implement emerging technologies to enhance product performance and developer productivity.
Requirements:
- Bachelor's or Master's degree in Computer Science, Software Engineering, or related field.
- 5+ years of experience in software development with at least 2 years in a leadership role.
- Proficiency in
backend technologies
(e.g., , Python, Java) and
frontend frameworks
(e.g., React, Angular, Vue). - Experience with
AI/ML integration
, APIs, and microservice architecture. - Strong understanding of
DevOps practices
, containerization (Docker, Kubernetes), and CI/CD pipelines. - Excellent problem-solving, analytical, and communication skills.
- Proven ability to lead teams, manage priorities, and deliver high-quality software under tight deadlines.
Preferred Skills:
- Hands-on experience with
cloud platforms
(AWS, GCP, Azure). - Knowledge of
runtime policy enforcement
,
monitoring tools
, and
observability stacks
(Grafana, Prometheus, ELK). - Familiarity with
security best practices
and runtime isolation (e.g., gVisor, sandboxing). - Experience working in
Agile/Scrum
environments.
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