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Description supplied by the original job listing.
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.
Experience
5-9 yrs
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