Senior Software Engineer

Responsibilities:

• Design and build solutions for complex business workflows.
• Understand the user persona and deliver a slick experience.
• Take end-to-end ownership of components and be responsible for the subsystems that you work on from design, code, testing, integration, deployment, enhancements, etc.
• AI tool usage: how effectively and quickly you can code using AI.
• Use AI to generate HLD and LLD documents. Get it reviewed by the AI and evaluate whether the suggestion given by the AI tool is right. Also, use AI to code some of the key components.
• Write high-quality code and take responsibility for their task.
• Solve performance bottlenecks.
• Mentor junior engineers.
• Communicate and collaborate with management, product, QA, and UI/UX teams.
• Deliver with quality, on time, in a fast-paced start-up environment.

Requirements:

• Bachelor's or master's degree in computer science or a related field.
• 6+ years of experience in backend software engineering with strong technical leadership exposure.
• Proven experience in leading and mentoring engineering teams.
• Strong sense of ownership with the ability to drive large-scale system design and delivery.
• Expertise in Java and object-oriented design principles.
• Hands-on experience with AI development tools such as Copilot, Amazon CodeWhisperer, Claude AI, CodeGeeX, Tabnine, MutableAI, Codacy, etc., for code generation and code reviews.
• Hands-on experience working with LLMs for solution design, integration, or AI-driven development workflows.
• Strong experience in building, scaling, and managing microservices-based architectures.
• Strong problem-solving, debugging, and technical troubleshooting skills.
• Ability to act as a role model for engineering excellence and enforce strong code quality standards across the team.
• Strong expertise in RDBMS and NoSQL technologies.
• Experience developing enterprise-scale systems such as eCommerce, manufacturing, or supply chain platforms.
• Excellent understanding of performance debugging, optimization techniques, and system reliability.
• Strong experience with Java, MongoDB, MySQL, AWS, Spring Boot, Kafka, and the ELK stack.
• Experience building large-scale cloud-based systems and distributed platforms.
• Demonstrating ability to deliver high-impact solutions in fast-paced environments.