Today, there's more data and users outside the enterprise than inside, causing the network perimeter as we know it to dissolve. We realized a new perimeter was needed, one that is built in the cloud and follows and protects data wherever it goes, so we started Netskope to redefine Cloud, Network and Data Security.
Since 2012, we have built the market-leading cloud security company and an award-winning culture powered by hundreds of employees spread across offices in Santa Clara, St. Louis, Bangalore, London, Paris, Melbourne, Taipei, and Tokyo. Our core values are openness, honesty, and transparency, and we purposely developed our open desk layouts and large meeting spaces to support and promote partnerships, collaboration, and teamwork. From catered lunches and office celebrations to employee recognition events and social professional groups such as the Awesome Women of Netskope (AWON), we strive to keep work fun, supportive and interactive. Visit us at Netskope Careers. Please follow us on LinkedIn and Twitter@Netskope.
About the position:
As a Senior Developer in Netskope’s Customer Solution Group (CSG), you will design and build AI-enhanced internal tools that improve customer, customer support and success workflows. You will work across GenAI (LLM assistants, RAG pipelines), cloud-native services, and automation platforms, owning backend systems end-to-end—from design to deployment. This is a hands-on role ideal for an experienced Python developer excited about applying AI to deliver innovative tools that empower our Support and Customer Success teams and ultimately world-class experiences to Netskope customers.
As a member of that team at Netskope, you will have an important role in the development of cutting-edge tools, of which some are AI-driven, with the opportunity to help shape the future of customer support technology.
Responsibilities:
- Work in the implementation of applications that will improve Netskope Customer Experience even more, including:
- GenAI/Large Language Model assistants;
- Retrieval Augmented Generation (RAG) pipelines;
- Workflow and process automation tools;
- Agentic AI tools;
- Troubleshooting and performance monitoring tools.
- Own the delivery of such applications, from design and development to deployment and monitoring, following modern approaches for maximum productivity and quality.
- Design, implement and maintain the features and backend components of such applications using Python and public cloud services (AWS and GCP).
- Develop data pipelines and strategies for efficient data retrieval and processing to support such applications.
- Help deploy and monitor the applications in public cloud environments.
- Build clients/servers that consume/serve REST APIs, gRPC, etc.
- Troubleshoot bugs and issues raised by internal customers.
- Manage individual project priorities, deadlines, and deliverables in a fast-paced development environment.
- Create and update the status of task tickets as needed, together with documenting and sharing relevant information about the tasks and deliverables.
- Keep abreast of the latest technologies that could be used to improve the products.
- Collaborate with other internal Netskope teams to drive individual tasks forward.
Job Requirements:
- 6+ years of backend software development
- Expertise in Python
- Experience developing RESTful API services leveraging libraries such as FastAPI
- Working knowledge of AWS components for application development and deployment
- Experience with PostgreSQL and other modern database technologies
- Experience with developing applications that use LLMs
- Proficiency in prompt engineering for LLMs to achieve desired outcomes
- Experience with Docker containerization Docker
- Working knowledge of git
- Experience with Agile methodologies
- Experience using LLM-powered tools that assist development work (Github Copilot, etc.)
- Knowledge of secure development practices
- Energetic self-starter, with the desire to work in a dynamic fast-paced environment
- Excellent verbal and written communication skills
Additional Requirements (Nice to have):
- Expertise in Rust
- Good understanding of AI/ML concepts, natural language processing (NLP), vector embeddings
- Good understanding of evaluation processes of LLM applications
- Good understanding of Retrieval Augmented Generation (RAG) architectures.
- Experience with vector databases (e.g., Qdrant, Weaviate)
- Experience with GenAI frameworks and libraries (e.g., LangChain, LLamaIndex)
Education:
- Bachelors or Masters degree preferred
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