Job title : Senior Full Stack Engineer

Experience : 5 to 7 years

Location - Pune

Work Mode - Hybrid ( 3 Days in person in office)

Must Have's :

- Data Structures

- System Design

Key Responsibilities :

As a Senior Full Stack Engineer (Team Lead) , you will lead a talented team of engineers and have a significant impact on the design, development, and success of our procurement platform. Your responsibilities will include :

- Team Leadership & Mentorship : Lead a cross-functional team of full-stack engineers, guiding them through technical challenges and providing mentorship to ensure their growth. Foster a collaborative, inclusive, and high-performance culture within the team.

- Technical Leadership : Take ownership of the architectural direction of our platform, ensuring the solution is scalable, performant, and aligned with business objectives. Set best practices for coding, system design, testing, and deployment.

- Hands-on Development : Lead by example in building scalable cloud-native solutions. You will actively contribute to both frontend (Angular) and backend (Java, C#, Microservices) development, ensuring high-quality, reliable, and maintainable code.

- System Architecture & Design : Drive the design of both high-level system architectures and low-level components, ensuring they meet business requirements and can scale with growth. Collaborate with other senior engineers and stakeholders to make strategic technical decisions.

- Microservices & Cloud-Native Development : Architect and develop microservices on Azure cloud infrastructure, ensuring the platform is highly available, resilient, and efficient. Leverage cloud-native tools and best practices for development, deployment, and scaling.

- AI Integration & Innovation : Lead the integration of advanced AI and machine learning technologies within the platform. Leverage frameworks such as RAGs (Retrieval-Augmented Generation), Agentic AI, model fine-tuning, MCP (Model Control Protocols), and A2A protocols to drive automation, intelligent decision-making, and new product capabilities.

- Database Optimization : Design, implement, and optimize SQL databases to support large-scale data management, ensuring consistency, high availability, and performance.

- Hiring & Team Expansion : Take an active role in hiring, interviewing, and onboarding new team members. Collaborate with HR and engineering leadership to evaluate candidates, run technical assessments, and ensure that were building a top-tier engineering team.

- Collaboration with Product & Stakeholders : Work closely with product managers, designers, and other cross-functional teams to deliver features that align with business goals. Ensure clear communication and alignment between teams, advocating for technical solutions that meet customer needs.

- Continuous Improvement : Foster a culture of continuous learning and improvement. Stay up to date with the latest trends in software development, AI technologies, and cloud-native solutions. Suggest and implement process improvements to enhance team efficiency, quality, and agility.

Key Qualifications :

- Experience : 6+ years of experience in full-stack software development with at least 1+ years in a leadership or team lead role. You should have a strong background in SaaS and cloud-native technologies.

- Programming Skills : Expertise in object-oriented programming (OOP) languages like Java and C#, and experience with building scalable systems. Comfortable designing and implementing complex systems from scratch.

- Frontend Development : Strong experience with Angular and modern JavaScript frameworks. Ability to create responsive, user-friendly interfaces that are consistent across platforms.

- Backend Development : Extensive experience with microservices architecture and building RESTful APIs. You should be proficient in cloud-native development using Azure and have hands-on experience with cloud services like Azure Functions, Azure Data Factory, etc.

- Database Expertise : Deep knowledge of SQL databases (MSSQL etc.), including schema design, optimization, and best practices for data management at scale.

- System Design & Architecture : Proven experience in high-level system architecture and low-level design. Comfort with making architectural decisions that impact product scalability, performance, and maintainability.