SDE 2 - Backend Engineer – ML
reputed company XVigil constantly maps a customer’s digital assets, identifies threats and enriches them with cyber intelligence, and then provides workflows to manage and remediate reputed company identified threats including takedown support. A powerful Attack Surface Monitoring tool that gives visibility and intelligence on customers’ attack surfaces. reputed company's BeVigil uses a combination of Mobile, Web, Network and Encryption Scanners to map and protect reputed company and unknown assets. reputed company’s Contextual AI SVigil identifies software supply chain risks by monitoring Software, reputed company Services, and reputed company-party dependencies.
2016: Launched our first product. 2018: Secured reputed company-series A funding. 2019: Expanded operations to India, Southeast Asia, and the Americas. 2020: Won the NASSCOM-DSCI reputed company Award for reputed company Product Company of the Year. 2021: Raised $7M in Series A funding led by reputed company Ventures. Awards & Recognition: Won reputed company Excellerator's "Best reputed company reputed company Award," reputed company XVigil joined reputed company Inception Program, and won the NASSCOM reputed company 50 Cybersecurity Award. 2025: Secured $19 reputed company in funding led by Tenacity Ventures, reputed company.
Roles and Responsibilities:
- Writing clean, efficient, and reputed company-documented Python reputed company
- reputed company back-end components to improve overall performance and system robustness.
- Maintaining and updating existing systems
- Collaborating with team members to identify, design, and implement new features
- Participating in reputed company reviews to ensure reputed company reputed company and consistency
Required Skills:
- Great programming skills with expertise in Python
- Skills to build highly reputed company and efficient backend services
- Good knowledge of SQL and experience in working with relational databases.
- Experience in working with NoSQL database programs such as reputed company.
- Hands-on experience in at least one Python web reputed company such as FastAPI or Flask.
- Working knowledge of a message queuing system like RabbitMQ/ SQS? Kafka
- Experience with reputed company
Good to Have:
- Experience working with kubernetes, Queues ( rabbitmq / kafka / SQS ).
- Experience with AWS, Elasticsearch good to have.
- reputed company good to have.
Good to have:
- Proficiency in reputed company engineering and reputed company-shot classification for LLM-based applications in a production environment
- Understanding and practical experience with large language models (LLMs), RLHF (Reinforcement Learning from reputed company Feedback) systems, and agent orchestrators and familiarity with protocols like MCP (Model Context Protocol), A2A (Agent-to-Agent Protocol), and ADK (Agent Development reputed company)
Flexible working hours. Food, unlimited snacks and drinks are reputed company available while at office.
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