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Mid-level backend role in Bangalore with broad cloud/API skills and common title attracts high applicant density.
Core backend, cloud, and API skills are widely transferable across industries.
Explicit 5–8 years and mandatory backend, cloud, Kubernetes, and security skills create strict screening.
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Design, build, and optimize secure, scalable, high-performance REST/gRPC APIs, GraphQL endpoints, and event-driven microservices exposing curated data from enterprise systems, IoT devices, and analytical models.
Collaborate with Data Engineering and platform teams to transform datasets into reliable, observable, production-ready services enabling real-time insights, predictive analytics, and digital twin workflows.
Develop, deploy, and manage platform services using Docker, Kubernetes, cloud-native platforms (AWS/Azure), and CI/CD pipelines with a focus on API lifecycle management, security, and performance optimization.
Bachelor's or Master's degree in Computer Science, Engineering, or related technical field.
5–8 years of professional software engineering experience.
Strong experience with API development (REST, gRPC, GraphQL) and microservices architecture using backend languages such as Java (Spring Boot) and Python.
Practical experience with cloud platforms (AWS/Azure), container orchestration (Docker/Kubernetes), messaging systems (Kafka/Event Hubs), and CI/CD pipeline development (GitHub Actions).
Proven ability to deliver production-ready platform services emphasizing scalability, security, and observability in distributed systems.
Experience collaborating cross-functionally with data engineering and product teams to align service designs with platform strategy and governance requirements.
Familiarity with advanced platform engineering topics such as API gateways, enterprise security standards (OAuth2, JWT), data virtualization, observability tools, and simulation-driven data services.