SDE3

• Design and architect scalable, resilient, and high-performance software systems.

• 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.

• Strong knowledge of databases (SQL and NoSQL) and performance optimization techniques.

• 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.

• Experience with AI-assisted software development tools such as GitHub Copilot, ChatGPT, Cursor, Claude Code, or similar platforms.

• 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.

• An architect's mindset with strong execution capabilities.

• 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.

• Java, Python, Go, C#, JavaScript/TypeScript

• 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

• 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.