Senior software engineer technical lead

2 weeks ago


Gurgaon, India WebBuddy Full time
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 Responsibilities Technical 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 Dev Ops practices
Preferred Qualifications
Experience working with ML/AI systems in production environments
Familiarity with ML frameworks (Tensor Flow, Py Torch) 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 : Postgre SQL, Mongo DB, Redis
ML/AI Tools : Tensor Flow, Py Torch, 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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