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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