SDE 3

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 architects 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.

Disclaimer: This job posting and location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.