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.
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