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1. Monitor the quality of results of the automated system in the detection of attacks,
intrusions, and unusual, unauthorized or illegal activities.
2. Build and maintain scripts that collect cyber threats data from external sources as well as
from the in-house analytics engine, data quality inspection, and dataset creation for ML
with manual annotation.
3. Assist Data Scientists & Machine Learning Engineers in developing systems that
automate risk assessment/mitigation workflows.
4. Keep up to date with the latest security and technology developments.
5. Research and evaluate emerging cybersecurity threats and ways to manage them.
Required skills
1. Attention to details and a quality first mindset.
2. Knowledge of current hacking techniques, vulnerabilities, and security analysis
techniques.
3. Basic programming experience, and the ability to automate tasks.
4. Manual code review or source code analysis experience.
Note: We are a startup, you will have much more responsibilities.
Benefits
1. A competitive salary.
2. Health Insurance.
3. An awesome team that will challenge and respect you.
4. Lunch, Unlimited snacks and drinks.
5. Top notch office in the heart of Bangalore City.
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About the company
Ande is an AI-native, full-stack TypeScript platform built on React, Node.js, GraphQL, and Postgres, running on AWS and powering web, mobile, internal operations, deep integrations, and agentic workflows.
Our product sits at the intersection of enterprise workflows, hospitality operations, payments, compliance, procurement, and AI — giving engineers the opportunity to solve problems that combine polished user experiences with complex real-world systems.
Engineering at Ande is deeply product-oriented and systems-heavy. We care about:
- Type safety and shared abstractions
- Fast iteration and observable production systems
- High-quality user experiences
- Building durable foundations for a category-defining platform
PMs and engineers work closely with the business domain, contributing directly to:
- Booking experiences
- Client entertainment policies
- Venue operations
- Spend visibility and approvals
- Payments and procurement workflows
- Enterprise integrations
- AI-driven workflows that reduce manual coordination across enterprises and hospitality partners
Founders
- Lohit Sarma
- Ashish Bidadi
- Michael McDermott
Jobs
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