Senior Developer (AI Focus)

CrashPlan

Experience: 10+ yrs
Location: Bengaluru or India
Job type: Full-time

Required skills

Java
Spring Boot
Microservices
Kafka
REST
Docker
Kubernetes
Cloud (AWS/Azure/GCP)
SQL
NoSQL
Python
TensorFlow
PyTorch

About the role

Who We Are:

C rashPlan® provides cyber-ready data resilience and governance in a single platform for organizations whose ideas power their revenue. With its comprehensive backup and recovery capabilities for data stored on servers, on endpoint devices, and in SaaS applications, CrashPlan’s solutions are trusted by entrepreneurs, professionals, and businesses of all sizes worldwide. From ransomware recovery and breaches to migrations and legal holds, CrashPlan’s suite of products ensures the safety and compliance of your data without disruption.

What You Will Be Doing:

We are looking for an experienced Senior Developer with a strong foundation in backend engineering and a growing interest in AI/ML to help shape the next generation of our enterprise SaaS platform. This role is primarily focused on designing, developing, and maintaining scalable Java-based solutions for data resiliency, ransomware defence, and data security — while also contributing to and gradually leading our AI initiatives.

You will work closely with our product, engineering, and DevOps teams to build core platform capabilities, and also lead a small AI team to integrate agentic capabilities into our product. This is not a pure AI research role; we want someone who remains deeply connected to the core product and brings AI as a force multiplier, not as a separate discipline.

Day in the Life:

Core Engineering:

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
Ensure application security, scalability, and high availability
Support continuous integration and deployment processes
Participate in architecture discussions and contribute to technical design decisions

AI Integration & Leadership:

Lead a small AI team to design and deliver AI-powered features within our core platform
Integrate AI/ML capabilities — such as automated reporting, anomaly detection, smart alerts, and incident workflows — into existing Java-based services
Evaluate and adopt emerging AI tools and frameworks (e.g. LLMs, RAG, Agentic AI) where they add practical value to the product
Ensure AI solutions are production-grade: secure, explainable, performant, and aligned with business goals
Act as a bridge between AI experimentation and core product engineering — keeping AI grounded in real product impact

Collaboration & Mentorship:

Collaborate closely with Product Management, Engineering, QA, and DevOps teams, including remote teams
Conduct code reviews and mentor junior developers
Contribute to a culture of technical excellence, speed, and ownership

Who You Are:

Required Qualifications:

Core Java & Backend

10+ years of experience in software development for enterprise applications
Strong proficiency in Java, Spring Boot, and Microservices architecture
Hands-on experience with Apache Kafka for building scalable, real-time data pipelines and event-driven microservices
Experience building RESTful APIs and distributed systems
Good understanding of databases (SQL/NoSQL) and data modelling concepts
Experience with cloud platforms (AWS/Azure/GCP)
Familiarity with containerization technologies such as Docker and Kubernetes
Strong understanding of software design patterns and system architecture
Experience working in Agile development environments

AI/ML (Hands-on Experience Preferred)

Practical experience integrating AI/ML models or services into production Java applications
Familiarity with Python and AI/ML frameworks (TensorFlow, PyTorch, or equivalent) is a strong plus
Understanding of LLM integrations, RAG pipelines, or agent-based AI systems
Knowledge of MLOps practices and model lifecycle management is advantageous
Exposure to AI system design and scalable AI architectures

Leadership

Demonstrated ability to lead small technical teams or work streams
Strong analytical, problem-solving, and communication skills
Ability to collaborate effectively with cross-functional and distributed teams

Work Environment & Expectations:

Based in Bangalore, working from the HSR Layout office
Willingness to work alternate Saturdays
Comfortable with dynamic workloads and flexible work hours, typical of a startup environment
Speed, adaptability, and ownership mindset are essential

CrashPlan values workplace diversity and ensuring an environment of mutual respect. Employment opportunities are available to all applicants without regards to race, color, creed, religion, sex, national origin, age, marital status, veteran status, sexual orientation, gender identity or expression, disability, genetic information, or any other category protected by law. We believe that diversity and inclusion are critical to our success, and we seek to recruit, develop, and retain the most talented people from a diverse candidate pool. We are proud to be an equal opportunity employer.

About CrashPlan

Secure cloud-based data backup and disaster recovery solutions.

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