Technical Backend Lead

October 31

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Jesica.ai

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Artificial Intelligence • Recruitment • Screening • Video Interviewing • Human Resource

2 - 10 employees

🤖 Artificial Intelligence

🎯 Recruitment

👥 HR Tech

Description

• Company Overview: InVitro Capital is a forward-thinking company that empowers its own portfolio companies (PortCos) and SMBs through innovative AI and SaaS solutions. • Job Overview: InVitro Capital is seeking a strategic and experienced Technical Lead to join our dynamic team. • Responsibilities: Lead and mentor technical squads, providing guidance on best practices, code quality, and solution design. • Architect and develop robust backend systems using Python and frameworks like Flask, Django, and FastAPI. • Oversee the design and implementation of AI/ML models using TensorFlow, PyTorch, and Scikit-Learn, integrating them into scalable SaaS applications. • Design and manage microservices architectures with cloud integration on AWS, Azure, or Google Cloud, leveraging Docker and Kubernetes for containerization. • Conduct thorough code reviews with an emphasis on scalability, performance optimization, and adherence to coding standards. • Manage the entire software development lifecycle, from requirement gathering to deployment, ensuring the delivery of high-quality AI and SaaS products. • Collaborate with DevOps to implement CI/CD pipelines using Git, Jenkins, and GitHub Actions, enhancing development workflows and deployment processes. • Drive the adoption of best practices in data management, utilizing SQL, NoSQL, PostgreSQL, MongoDB, and Redis for efficient and reliable data storage solutions. • Communicate effectively with non-technical stakeholders to align technical solutions with business objectives.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or a related field. • 10+ years of experience in backend development and software engineering. • Extensive experience in leading and mentoring technical teams. • Advanced skills in Python and frameworks like Flask, Django, and FastAPI. • Expertise in designing and architecting AI and microservices architectures. • Experience with cloud platforms such as AWS, Azure, and Google Cloud. • Proficiency with containerization tools like Docker and Kubernetes. • Advanced knowledge of AI/ML tools, such as TensorFlow, PyTorch, and Scikit-Learn. • Strong understanding of SQL and NoSQL databases like PostgreSQL, MongoDB, and Redis. • Proficiency in using CI/CD tools, including Git, Jenkins, and GitHub Actions. • Experience with infrastructure management technologies like Terraform. • Strong problem-solving skills and a proactive approach to innovation.

Benefits

• Work on cutting-edge AI and B2B technologies: • Help build and grow successful startups: • Work with some of the best minds in the industry: • Supportive and collaborative work environment: • Competitive compensation: We offer a competitive compensation package, with salaries ranging from [$5,000.00 to $7,000.00 monthly], payable in USD.