SDE3

Experience: 6–9 Years

Responsibilities

• •Design and architect scalable, resilient, and high-performance software systems.
• •Lead end-to-end development of critical platform and product features.
• •Drive technical decisions, architecture reviews, and engineering best practices.
• •Collaborate with Product, Design, Data Science, and DevOps teams to deliver business impact.
• •Mentor and guide engineers through code reviews, design discussions, and technical coaching.
• •Identify performance bottlenecks and implement scalable solutions.
• •Evaluate and adopt emerging technologies, frameworks, and engineering practices.
• •Leverage AI-powered development tools and workflows to improve engineering productivity and innovation.
• •Establish coding standards, security best practices, observability, and reliability standards.
• •Participate in technical roadmap planning and long-term platform strategy.
• •Strong expertise in software architecture, system design, and distributed systems.
• •Deep understanding of data structures, algorithms, design patterns, and object-oriented principles.
• •Experience building scalable cloud-native applications and microservices.

Required Qualifications

• •Strong knowledge of databases (SQL and NoSQL) and performance optimization techniques.
• •Experience working with REST APIs, event-driven architectures, and asynchronous systems.
• •Hands-on experience with CI/CD, containerization, and cloud platforms.
• •Strong problem-solving, analytical, and debugging skills.
• •Excellent communication and stakeholder management abilities.
• •Ability to quickly learn and adapt to new technologies and domains.

Preferred Qualifications

• •Experience with AI-assisted software development tools such as GitHub Copilot, ChatGPT, Cursor, Claude Code, or similar platforms.
• •Experience building AI-powered products, agentic workflows, or data-intensive platforms.
• •Exposure to cloud platforms such as Azure, AWS, or GCP.
• •Experience with Kubernetes, Docker, Kafka, distributed data systems, or large-scale SaaS platforms.
• •Knowledge of security, observability, and platform engineering practices.

What We Are Looking For

• •An architect's mindset with strong execution capabilities.
• •Technology-agnostic engineers who choose the right tool for the problem rather than being tied to a specific stack.
• •Passion for continuous learning and experimentation.
• •Ability to lead technical initiatives with minimal supervision.
• •Strong ownership and accountability.
• •Enthusiasm for using AI to accelerate development, improve quality, and create innovative solutions.

Nice-to-Have Technologies

• •Java, Python, Go, C#, JavaScript/TypeScript
• •React, Angular, Vue
• •PostgreSQL, Snowflake, ClickHouse, MongoDB
• •Kafka, RabbitMQ
• •Docker, Kubernetes
• •Azure, AWS, GCP
• •AI/ML frameworks, LLMs, Vector Databases, Agentic AI Platforms

Why Join Us?

• •Opportunity to solve large-scale, real-world business problems.
• •Work on modern cloud and AI-driven technologies.
• •Influence architecture and technical direction.
• •Collaborate with a highly talented engineering team.
• •Continuous learning and growth opportunities.