Qureos

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Lead Software Engineer (Full Stack)

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About You – experience, education, skills, and accomplishments

  • Minimum 7 years of experience in backend , UI or platform engineering.
  • Expertise in Angular and TypeScript for frontend development.
  • Proficiency in Java, Spring Boot, Python, or Node.js.
  • Strong understanding of PostgreSQL and SQL.
  • Deep understanding of REST, GraphQL, gRPC, and API lifecycle management.
  • Experience with cloud platforms (AWS/Azure/GCP) and DevOps tools (Docker, Kubernetes, Terraform).
  • Familiarity with notification platforms (e.g Amazon SNS) or equivalent services like (Amazon SES, SQS and Lambda).
  • Strong foundation in AI/ML concepts and experience integrating models into production systems.

It would be great if you also have

  • Experience with event-driven architectures (Kafka, RabbitMQ).
  • Knowledge of AI-based anomaly detection, recommendation systems, or natural language processing.
  • Familiarity with observability tools like Datadog, Prometheus, Grafana, or ELK stack.

What will you be doing in this role

  • Design and implement scalable, secure, and high-performance API Gateway solutions using platforms like Kong.
  • Integrate AI/ML models into the gateway layer for: Dynamic routing and traffic prediction, Anomaly detection and threat intelligence, Adaptive rate limiting and usage forecasting
  • Define and enforce API standards, authentication, and authorization protocols (OAuth2, JWT, etc.).
  • Architect and build multi-channel notification systems (email, in-app) with real-time delivery and user preference management.
  • Implement CI/CD pipelines, monitoring, and alerting for all services.
  • Ensure high availability, fault tolerance, and observability across systems.

At Clarivate, we are committed to providing equal employment opportunities for all qualified persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations.

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