Backend Architect

Responsibilities:

• Define and own the backend architecture: service decomposition, inter-service communication, and failure isolation strategies.
• Design high-throughput, low-latency APIs and microservices for learner-facing and internal product features.
• Build event-driven systems using Kafka for async workflows, real-time notifications, and data pipeline integration.
• Own reliability engineering: SLAs, SLOs, circuit breakers, retry strategies, and graceful degradation patterns.
• Lead database selection and design: PostgreSQL, MongoDB, or DynamoDB; Redis trade-off decisions; and schema design.
• Establish Kubernetes-based deployment architecture: service mesh, autoscaling, health management, and resource governance.
• Define observability standards: distributed tracing (OpenTelemetry), logging aggregation, and alerting (Prometheus, Grafana).
• Drive API design decisions (REST, gRPC, GraphQL) and integration patterns with AI/ML inference services.
• Mentor engineering teams on distributed systems patterns, code quality, and architectural best practices.
• Define and govern DevOps practices and CI/CD pipelines: automated testing, deployment automation, and release reliability.
• Establish test automation and quality assurance standards across backend services: unit, integration, contract, and performance testing.
• Drive integration of multiple systems, platforms, and third-party technologies, including AI/ML inference services and government APIs.
• Guide engineering teams on architecture decisions and drive technical excellence across all backend squads.

Requirements:

• Strong experience in solution architecture, system design, and application development.
• Expertise in designing scalable and reliable systems using open-source technology stacks.
• Strong understanding of software architecture, design patterns, and best practices. ConveGenius.
• Experience with DevOps, CI/CD pipelines, and deployment automation.
• Knowledge of test automation, quality assurance, and system reliability.
• Experience integrating multiple systems, platforms, and technologies.
• Strong problem-solving, stakeholder management, and technical leadership skills.
• Experience guiding engineering teams and driving architecture decisions.