About Leena AI:

Leena AI is a leader in Agentic AI for the enterprise. We are building an iconic company, delivering AI Colleagues that transform back-office functions and accelerate the full promise of Generative AI unlocking real productivity gains, cutting costs, and delighting employees at scale. Leena AI provides the most forward-looking, open, and scalable Agentic AI architecture for the enterprise it empowers CIOs and CTOs to develop, deploy, and manage AI Colleagues for the back office at scale. Built with full governance, compliance, security, and auditability at its core. Leena AI integrates with 1000+ applications, including SAP, Salesforce, ServiceNow, Workday, and Microsoft Office 365. We are proud to be trusted by 500+ global enterprises and 20 million+ employees, including leading brands such as Nestlé, Puma, Coca-Cola, Sony, and Etihad Airways. Founded in 2018 and headquartered in New York, Leena AI has secured over $40M in financing from top-tier investors including Greycroft, Bessemer Venture Partners, B Capital, and Y Combinator.

Role Overview:

As an SDE III at Leena AI, youll be a technical owner driving architecture, scalability, and performance for products used by hundreds of thousands of employees worldwide. You wont just write code youll solve complex distributed systems problems, design for scale, and mentor other engineers.

Responsibilities:

- Own modules end-to-end from system design to deployment and monitoring in production.

- Design scalable APIs & microservices that power real-time, high-throughput, enterprise-grade applications.

- Collaborate with Product, AI, and Frontend teams to translate business needs into high-performance technical solutions.

- Optimize data storage and queries for performance & reliability in MongoDB and other persistence layers.

- Build fault-tolerant, secure, and observable systems that can handle millions of requests daily.

- Champion engineering best practices clean code, test coverage, performance benchmarks, and CI/CD automation.

- Troubleshoot complex production issues, conduct RCA, and implement preventive solutions.

- Mentor junior engineers and influence technical decision-making across teams.

Tech Stack & Requirements:

- 58 years of backend engineering experience in high-scale, distributed systems.

- Deep expertise in Node.js (event-driven architecture, async patterns, performance tuning).

- Solid understanding of MongoDB schema design, indexing, replication, and performance tuning.

- Experience with RESTful API design (GraphQL experience is a plus).

- Strong foundation in data structures, algorithms, and system design.

- Exposure to cloud platforms (AWS/GCP/Azure) and containerized deployments (Docker/Kubernetes).

- Familiarity with message queues (Kafka, RabbitMQ, SQS, etc.) for async and event-driven workflows.

- Understanding of security best practices authN, authZ, OWASP principles.

- Proficiency in at least one scripting language (Python, Bash, etc.).

Nice To Have:

- Experience in AI/ML-powered products or enterprise SaaS.

- Contributions to open-source projects or technical blogs.

- Knowledge of microservice orchestration and distributed tracing.

Whats In It For You:

- Work with cutting-edge Gen AI tech in real-world enterprise environments.

- Solve deep technical challenges at scale.

- Collaborate with brilliant engineers from top-tier backgrounds.

- Influence the technical roadmap of a high-growth product company.