Python Fullstack Developer

Key Responsibilities

• Lead      the overall technical delivery of projects from the offshore.
• Design      and implement scalable, secure, and high-performing full-stack      applications.
• Own      system architecture and design, including technology selection,      application architecture, APIs, integrations, and scalability.
• Provide      hands-on technical guidance and mentor developers, ensuring engineering      best practices and code quality.
• Engage      directly with clients to understand requirements, provide technical      solutions, manage expectations, and drive technical discussions.
• Coordinate      with onsite/client teams and act as the primary offshore technical lead.
• Oversee      database architecture and design, including data modelling, performance,      and integration.
• Identify      and incorporate GenAI/AI capabilities into applications and      engineering solutions where appropriate.
• Drive      technical estimations, solutioning, code reviews, technical documentation,      and project-level engineering standards.
• Proactively      identify technical risks and dependencies and drive their resolution.
• Collaborate      with project managers, architects, product owners, and other stakeholders      to ensure successful delivery.

Must-Have Skills

• 810+      years of overall software engineering experience,      preferably in an IT consulting environment.
• Strong      hands-on expertise in Full Stack Development – frontend, backend,      APIs, microservices, and cloud-based applications.
• Strong      understanding of System Design, Architecture, Design Patterns,      Scalability, Security, and Performance.
• Good      knowledge of relational and/or NoSQL databases, database design, data      modelling, and SQL.
• Experience      with modern cloud and DevOps practices.
• Strong      client-facing and communication skills with the ability to lead      technical discussions.
• Proven      experience in team leadership, mentoring, and offshore delivery      management.
• Practical      understanding of Generative AI, LLMs, AI-enabled application      development, and AI integration patterns.
• Strong      problem-solving, analytical, and decision-making abilities.