WebBuddy | Senior Software Engineer Technical Lead | gurugram
1 week ago
About the Role
We're seeking an experienced Technical Lead to drive the development of our AI-powered solutions. In this role, you'll lead a team of engineers while maintaining hands-on involvement in architecture and development, bridging the gap between cutting-edge AI technologies and scalable software solutions.
Compensation
30k-40k$ Yearly + Stocks Options.
Core ResponsibilitiesTechnical Leadership
- Architect and lead the development of scalable AI/ML systems and supporting infrastructure
- Make critical technical decisions regarding system architecture, technology stack, and development practices
- Design and implement robust APIs and services that integrate with ML models
- Lead code reviews and ensure code quality through best practices and testing protocols
- Monitor and optimize system performance, focusing on latency, throughput, and resource utilization
Team Leadership
- Lead and mentor a team of 4-6 software engineers
- Foster a culture of innovation, collaboration, and technical excellence
- Collaborate with Product, Data Science, and ML teams to define technical requirements
- Establish engineering processes and best practices for the team
- Participate in hiring and growing the engineering team
Project Management
- Transform product requirements into technical specifications and implementation plans
- Manage project timelines and technical deliverables
- Identify and mitigate technical risks early in the development cycle
- Balance technical debt with feature delivery
- Provide regular updates to stakeholders on technical progress and challenges
Required Qualifications
- 8+ years of software engineering experience, with 3+ years in a technical leadership role
- Strong experience with distributed systems and microservices architecture
- Proven track record of leading successful technical projects from conception to production
- Extensive experience with one or more modern programming languages (Node JS, Next JS, Java, etc.)
- Deep understanding of software design patterns, system architecture, and API design
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)
- Strong background in data structures, algorithms, and system design
- Experience with CI/CD pipelines and DevOps practices
Preferred Qualifications
- Experience working with ML/AI systems in production environments
- Familiarity with ML frameworks (TensorFlow, PyTorch) and ML deployment practices
- Understanding of ML operations (MLOps) and model serving architectures
- Experience with real-time processing systems and streaming architectures
- Knowledge of privacy, security, and compliance requirements for AI systems
- Contributions to open-source projects or technical publications
- Master's or Ph.D. in Computer Science or related field
Technical Skills
- Programming Languages: Node JS, Next JS, Java, or similar
- Cloud & Infrastructure: AWS/GCP/Azure, Kubernetes, Docker
- Databases: PostgreSQL, MongoDB, Redis
- ML/AI Tools: TensorFlow, PyTorch, MLflow (preferred)
- Development Tools: Git, JIRA, CI/CD tools
- Monitoring & Observability: Prometheus, Grafana, ELK Stack
Soft Skills
- Exceptional communication abilities with both technical and non-technical stakeholders
- Strong problem-solving and analytical thinking
- Ability to mentor and grow team members
- Excellence in project planning and execution
- Strategic thinking and decision-making capabilities
Impact & Growth Opportunities
- Lead the technical direction of AI-powered products
- Shape the architecture of next-generation AI systems
- Build and mentor high-performing engineering teams
- Drive innovation in AI application development
- Collaborate with industry experts in AI/ML
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