About Druva
Druva is the resilience foundation for the AI enterprise, helping organizations secure and recover from connected risk across data, cyber, identity, and AI. The Resilience Cloud is a fully managed, cloud-native SaaS platform that delivers air-gapped and immutable protection across cloud, SaaS, on-premises, endpoint, and edge environments. Powered by Dru MetaGraph, Druva’s graph-powered intelligence layer, the platform connects critical business context so customers can understand risk, respond faster, recover cleanly, and govern data with greater confidence.
Trusted by nearly 7,500 customers, including 75 of the Fortune 500, Druva helps safeguard the critical information and systems businesses depend on in an increasingly connected world.
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Experience Required: 3 to 5 years
Location: Pune
Employment Type: Full-time
As a Staff Software Engineer (AI), you will lead the design and development of cutting-edge AI solutions. This role involves taking ownership of projects, mentoring junior engineers, and driving innovation in AI systems. You will work closely with stakeholders to build scalable and robust AI applications that solve complex problems.
Key Responsibilities- Lead the design, development, and deployment of scalable AI/ML systems.
- Drive technical discussions and decisions related to AI architecture, algorithms, and tools.
- Collaborate with data scientists, engineers, and product teams to align AI solutions with business goals.
- Own the end-to-end lifecycle of AI models, from research and development to production and monitoring.
- Implement MLOps pipelines for model training, validation, deployment, and monitoring.
- Optimize models for performance, accuracy, and scalability in production environments.
- Mentor and guide junior engineers to build their technical skills and understanding of AI concepts.
- Research and experiment with new algorithms and technologies to improve existing systems.
- Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related disciplines.
- Programming Languages: Advanced expertise in Python and familiarity with other languages such as Java or C++.
- AI/ML Expertise: In-depth knowledge of machine learning, deep learning, NLP, or computer vision.
- Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Hugging Face.
- Strong understanding of distributed systems, cloud computing, and microservices architecture.
- Proficiency in deploying AI/ML systems on cloud platforms (AWS, GCP, or Azure).
- Experience with big data tools and frameworks (Spark, Hadoop, or similar).
- Demonstrated ability to lead technical teams and projects.
- Experience with advanced AI concepts like federated learning, GANs, or transfer learning.
- Familiarity with data engineering tools and pipelines.
- Expertise in containerization (Docker) and orchestration (Kubernetes).
- Strong problem-solving, leadership, and communication skills.
Skills Required
- Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or related field
- Proficiency in Python with experience in TensorFlow, PyTorch, or scikit-learn
- Understanding of supervised, unsupervised, and reinforcement learning
- Experience with data manipulation tools (Pandas, NumPy) and visualization libraries (Matplotlib, Seaborn)
- Familiarity with databases (SQL/NoSQL) and cloud platforms (AWS, GCP, or Azure)
- Strong problem-solving skills and interest in applying AI
Druva Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Druva and has not been reviewed or approved by Druva.
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Fair & Transparent Compensation — Pay is considered competitive for many U.S. sales and select senior product/engineering roles, with on‑target earnings and totals aligning well to peer SaaS ranges. Feedback suggests employees in these pockets often view their packages as fair and solid.
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Healthcare Strength — Health coverage is described as comprehensive, including medical, dental/vision, and mental‑health programs for employees and families. Many signals point to healthcare being a strong component of the overall package.
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Parental & Family Support — Paid maternity, paternity, adoption, and family medical leave are offered alongside financial support for fertility and adoption. These family‑building benefits broaden total rewards beyond cash compensation.
Druva Insights
What We Do
Druva delivers data protection and management for the cloud era. Druva Cloud Platform is built on AWS and offered as-a-Service; customers drive down costs by over 50 percent by freeing themselves from the burden of unnecessary hardware, capacity planning, and software management.
Why Work With Us
We are the leader in cloud data protection and cloud is the way of the future! With over $300M in funding and our Pre-IPO status, it is the perfect time to jump on board. Two of our company values are "challenger mentality" and "one team". We truly believe in the impact we can make together and we are not afraid to push the status quo.
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