As a Lead Software Engineer Backend, you'll build and scale the backend systems that power platform. You'll solve complex engineering challenges, own critical services end-to-end, and help build highly scalable, reliable, and observable distributed systems.

Responsibilities :

- Design, build, and enhance scalable backend services and distributed systems.

- Own backend features from design through production and ongoing improvements.

- Build reliable APIs and services that power mission-critical product workflows.

- Improve system performance, scalability, availability, and reliability.

- Design solutions around databases, caching, messaging, and asynchronous processing.

- Drive observability by improving logging, monitoring, tracing, and debugging capabilities.

- Collaborate closely with Product, Design, and Engineering teams to deliver customer-focused features.

- Review code, troubleshoot production issues, and contribute to engineering best practices.

- Mentor engineers through technical guidance and code reviews while remaining a hands-on individual contributor.

- Leverage AI-assisted development tools to improve engineering productivity and code quality.

You should apply if :

- You have 6+ years of backend engineering experience.

- You've built and operated scalable backend services in production.

- You have strong programming fundamentals in any modern backend language (Java, Go, Python, Node.js, C#, etc.).

- You have experience designing scalable APIs and distributed systems.

- You have hands-on experience with SQL/NoSQL databases, Redis, and message brokers such as Kafka or RabbitMQ.

- You have worked with Docker and containerized applications.

- You have experience with observability tools such as Grafana, Datadog, OpenTelemetry, or similar.

- You enjoy solving performance, scalability, and reliability challenges.

- You've worked in a product-based SaaS environment.

Nice to have :

- Experience with AWS and cloud-native architectures.

- Kubernetes experience.

- GraphQL experience.

- Experience building platform or observability products.

- Exposure to high-scale distributed systems.

- Experience mentoring engineers or leading technical initiatives.