CrashPlan

3 months ago

Senior/Lead Java Developer (AI Architecture focus)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Senior backend-focused developer with a strong Java foundation, leading AI initiatives to augment an enterprise SaaS platform. Design, build, and maintain scalable Java-based services and microservices, while guiding a small AI team to integrate agentic features into core product. Close collaboration with Product, Engineering, and DevOps to deliver secure, high-availability software.

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Design, develop, and maintain high-performance, scalable Java-based enterprise applications.
•Build and enhance backend services, APIs, and microservices architecture.
•Write clean, efficient, and maintainable code following best practices and coding standards.
•Troubleshoot, debug, and optimize application performance and reliability.
•Lead AI integration efforts, bridging AI experimentation with core product engineering, and mentor the AI team.

Key Requirements

•Core Java & Backend: 10+ years of experience in software development for enterprise applications; strong proficiency in Java, Spring Boot, and Microservices architecture.
•Kafka and data pipelines: Hands-on experience with Apache Kafka for building scalable, real-time data pipelines and event-driven microservices.
•APIs & distributed systems: Experience building RESTful APIs and distributed systems; good understanding of databases (SQL/NoSQL) and data modelling.
•Cloud & containers: Experience with cloud platforms (AWS/Azure/GCP) and containerization technologies (Docker, Kubernetes).
•AI/ML integration: Practical experience integrating AI/ML models into production Java applications; familiarity with Python and AI/ML frameworks is a plus; understanding of LLM integrations and MLOps is advantageous.

Experience:10+ yearsEnterprise softwareSaaSAI/ML

Skills:Problem-solvingCollaborationLeadershipCommunicationMentoring

Languages:English

Tech Stack:JavaSpring BootMicroservicesApache KafkaRESTSQLNoSQLAWSAzureGCPDockerKubernetesLLMsRAGPythonTensorFlowPyTorch

Company Brief

CrashPlan

Provides cloud-first endpoint backup and data protection software for businesses, offering continuous backup, ransomware recovery, and centralized management to secure employee and server data across devices and locations.

Industry: Cybersecurity

Company Size: Medium (51 to 250 employees)

Growth: Established Company

Headquarters: Minneapolis, United States

Website LinkedIn

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CrashPlan

3 months ago

Senior/Lead Java Developer (AI Architecture focus)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Design, develop, and maintain high-performance, scalable Java-based enterprise applications.
•Build and enhance backend services, APIs, and microservices architecture.
•Write clean, efficient, and maintainable code following best practices and coding standards.
•Troubleshoot, debug, and optimize application performance and reliability.
•Lead AI integration efforts, bridging AI experimentation with core product engineering, and mentor the AI team.

Key Requirements

•Core Java & Backend: 10+ years of experience in software development for enterprise applications; strong proficiency in Java, Spring Boot, and Microservices architecture.
•Kafka and data pipelines: Hands-on experience with Apache Kafka for building scalable, real-time data pipelines and event-driven microservices.
•APIs & distributed systems: Experience building RESTful APIs and distributed systems; good understanding of databases (SQL/NoSQL) and data modelling.
•Cloud & containers: Experience with cloud platforms (AWS/Azure/GCP) and containerization technologies (Docker, Kubernetes).
•AI/ML integration: Practical experience integrating AI/ML models into production Java applications; familiarity with Python and AI/ML frameworks is a plus; understanding of LLM integrations and MLOps is advantageous.

Experience:10+ yearsEnterprise softwareSaaSAI/ML

Skills:Problem-solvingCollaborationLeadershipCommunicationMentoring

Languages:English

Tech Stack:JavaSpring BootMicroservicesApache KafkaRESTSQLNoSQLAWSAzureGCPDockerKubernetesLLMsRAGPythonTensorFlowPyTorch

Company Brief

CrashPlan

Industry: Cybersecurity

Company Size: Medium (51 to 250 employees)

Growth: Established Company

Headquarters: Minneapolis, United States

Website LinkedIn