Senior/Lead Software Engineer - Backend

Job Summary

Backend System Development

• Design, develop, and maintain modular backend components
• Build both synchronous and event-driven services
• Implement core infrastructure: dynamic configuration, service discovery, and system orchestration
• Build asynchronous processing pipelines, background jobs, and event-driven workflows

Api Development & Management

• Design and maintain highly-available API endpoints (RESTful, GraphQL, gRPC)
• Ensure API reliability, versioning, and documentation standards across services
• Implement rate limiting, caching strategies, and API gateway patterns

Database & Data Architecture

• Design and implement database schemas and data models (relational, document, or hybrid)
• Optimize queries, manage migrations, and ensure data integrity across services
• Work with data engineers on ingestion, transformation, and serving layers

Infrastructure & Deployment

• Work with containerized deployments (Docker, ECS, EKS) and AWS cloud infrastructure
• Implement monitoring, logging, and alerting for backend services

Collaboration, Code Quality & Security

• Work closely with frontend, data, platform, and DevOps teams to deliver integrated solutions
• Contribute to architectural discussions and technical decision-making
• Mentor mid-level and junior engineers on backend engineering best practices
• Write high-quality, well-tested production code with comprehensive unit and integration tests
• Enforce security best practices: authentication, authorization, encryption, input validation
• Conduct and participate in code reviews to maintain code quality

Qualifications

Technical Skills

• Strong proficiency in Java/Kotlin with hands-on experience in Spring Boot and the Spring ecosystem (Spring MVC, Spring Data, Spring Security, Spring Cloud)
• Solid understanding of system design: microservices, event-driven architecture, API design patterns, and data modeling
• Strong API development experience (RESTful, GraphQL, gRPC) including designing and maintaining highly-available endpoints
• Hands-on experience with AWS — ECS, Lambda, SQS/SNS, RDS, DynamoDB, S3, API Gateway
• Experience with relational and NoSQL databases (PostgreSQL, DynamoDB, MongoDB, Redis, AWS Aurora)
• Practical experience with Docker, Kubernetes (EKS), and container-based deployments
• Familiarity with modern authentication schemes such as OAuth, JWTs, or cookies
• Strong testing practices: unit tests, integration tests, and familiarity with testing frameworks
• Strong understanding of database schema design, query optimization, and data modeling
• Excellent communication and leadership skills, adaptable, self-motivated, and capable of thriving in a fast-paced, unstructured startup environment
• Strong ownership mentality — you ship it, you run it, you own it
• Nice to Have
• Experience with building scalable, high-reliability, or data-intensive backend systems
• Experience with event-driven architectures and message brokers (Kafka, SQS/SNS, EventBridge)
• Exposure to Infrastructure-as-Code tools (Terraform, CloudFormation)
• Experience with monitoring and observability tools (Prometheus, Grafana, DataDog, CloudWatch)
• Experience with AI/ML-adjacent systems — building backends that serve or integrate machine learning models and data pipelines
• Familiarity with multi-tenant architecture patterns
• Experience working in fast-paced startup environments, contributing to rapid development and delivery-driven projects