Backend / Systems Engineer

Overview

Key Responsibilities

• Develop and maintain backend services and APIs to support various applications
• Design and implement scalable and efficient system architectures
• Manage server infrastructure and ensure system reliability and performance
• Collaborate with cross-functional teams to define system requirements and deliver solutions
• Optimize applications for maximum speed and scalability
• Monitor system health, troubleshoot issues, and perform root cause analysis
• Maintain security best practices across backend systems and infrastructure
• Document system architecture, code, and operational procedures
• - API contract — endpoint naming, schemas, HTTP status codes, error format
• - Authentication flow — token lifecycle, MFA enforcement points, role hierarchy
• - Workflow state transitions — what is permitted, logged, irreversible
• - Rate limiting, throttling, and idempotency design
• - Technology choices within the approved backend stack

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field
• 3+ years of experience in backend development or systems engineering
• Proficiency in backend programming languages such as Java, Python, Go, or Node.js
• Experience with relational and NoSQL databases (e.g., PostgreSQL, MongoDB)
• Strong knowledge of system design principles and distributed systems
• Familiarity with containerization and orchestration tools like Docker and Kubernetes
• Understanding of networking, server management, and security best practices
• Experience with version control systems like Git
• Ability to work collaboratively in an agile development environment
• Excellent problem-solving skills and attention to detail
• - FastAPI — async handlers, dependency injection, Pydantic models, middleware
• - Python 3.10+ — type hints, async/await, robust exception handling
• - PostgreSQL — ORM (SQLAlchemy), raw query optimization, transaction management
• - Azure AD — OAuth 2.0, JWT validation, MSAL, RBAC
• - Redis — session store, distributed lock patterns, caching
• - REST API design — versioning, error standardization, OpenAPI spec generation
• - Docker + Azure App Service deployment

• - GitHub Actions CI/CD

• - pytest — unit and integration test coverage
• - State machine design for multi-step workflows

• Paid Time Off

• Performance Bonus