Who We Are:
CrashPlan 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
- 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
- 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