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Technical Lead - Java Backend
Thales
Bengaluru, IND
Full-time
Senior
Hybrid
Discovered 3 weeks ago
JavaSpring BootSpring FrameworkAWSKubernetesDocker
Free
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JavaSpring BootSpring Framework
Role Overview
We are looking for a highly skilled Tech Lead with strong experience in Java and Spring Boot, along with working knowledge of Cloud, DevOps, and modern AI-based tools.
The ideal candidate should have experience building scalable backend systems, working with cloud infrastructure, and exposure to emerging AI/automation technologies.
It is well-suited for someone with a strong passion for technology, committed to delivering secure and scalable solutions, and motivated by the challenges of distributed systems and complex technical problems.
This role requires hands-on development, system design, and collaboration with cross-functional teams to build high-quality, production-grade applications.
Key Skills for This Role
JavaSpring BootSpring FrameworkAWSKubernetesDocker
Full Job Posting
Job Description
We are looking for a highly skilled Tech Lead with strong experience in Java and Spring Boot, along with working knowledge of Cloud, DevOps, and modern AI-based tools. The ideal candidate should have experience building scalable backend systems, working with cloud infrastructure, and exposure to emerging AI/automation technologies. It is well-suited for someone with a strong passion for technology, committed to delivering secure and scalable solutions, and motivated by the challenges of distributed systems and complex technical problems. This role requires hands-on development, system design, and collaboration with cross-functional teams to build high-quality, production-grade applications.
Key Responsibilities
- Design and develop scalable backend services using Java and Spring Boot
- Build and maintain microservices-based architectures
- Work with AWS cloud services for deployment and infrastructure
- Work with Kubernetes / container-based deployments
- Configure and maintain CI/CD pipelines (GitHub / GitLab / Jenkins)
- Collaborate with DevOps, QA, and product teams for release management
- Explore and integrate AI / automation tools (n8n, LLM APIs, agent-based workflows, prompt engineering, etc.)
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