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Bolster builds a next-generation AI-powered fraud prevention and brand protection platform designed to detect and eliminate phishing, impersonation, and online scams at internet scale. Our platform protects enterprises from external digital threats across websites, social media, mobile apps, messaging platforms, and the dark web, helping organizations safeguard their brands and customers from rapidly evolving cyberattacks. Bolster is trusted by leading global enterprises and Fortune 500 companies that rely on our technology to detect and automatically take down phishing and impersonation attacks in real time. Our team brings deep cybersecurity expertise with decades of combined experience across leading technology and security organizations. Bolster is backed by leading investors including M12 (Microsoft’s venture fund), Thomvest Ventures, and Crosslink Capital, helping accelerate innovation in AI-driven threat protection. Our AI and machine learning technology uses deep learning, computer vision, natural language processing, and large-scale threat intelligence to detect malicious infrastructure and automate takedowns with high accuracy and speed. We also extend our technology to the broader community through CheckPhish (https://checkphish.ai) — a free phishing and scam detection tool used by millions of security researchers, organizations, and consumers worldwide.
Senior Software Engineer, Backend
Location
India
Posted
74 days ago
Salary
0
Seniority
Senior
Job Description
Senior Software Engineer, Backend
Bolster
Role Description Bolster is seeking a Sr. Software Engineer, Backend who loves solving cybersecurity problems, making the internet safer for our customers. This is a fully remote position open to candidates based in India. Responsibilities - Apply a data-driven approach to a wide variety of signals to identify emerging cybersecurity fraud trends and tactics. - Develop ideas for new products or features by monitoring industry developments and executing quick proof of concepts. - Take advantage of efficiencies from AI coding tools and AI-first mindset to solve customer pain points. - Participate in the full development cycle: design, develop, test, analyze, and deploy. - Design, implement, and maintain scalable and high-performance APIs and backend systems. - Experience working with microservice architecture and containerized services. - Work closely with cross-functional teams, including product managers, UX designers, QA engineers, and customer-facing teams, to deliver high-quality software. - Strong communication and collaboration skills. Qualifications - Bachelor's or master’s degree in computer science or software engineering with over 6 years of proven experience as a backend Software Engineer. - Established track record of working in startups with a fast pace of development. - Coding experience in Typescript or Python preferred. - Strong experience with data stores like Elastic Search and PostgreSQL. - Expert in coding efficient, maintainable code, with a habit of adding extensive unit and integration tests. - Hands-on experience with tools to identify back-end performance bottlenecks and improve them. - Demonstratable experience using AI code development tools. - Knowledge of AI LLMs, prompt engineering, and Agentic AI frameworks would be a huge plus. - Implement security best practices and procedures to protect sensitive data. - Root cause analysis on production issues and resolved customer issues. - Add monitoring and alerting that can help identify production issues proactively. - Excellent problem-solving and debugging skills. - Experience working with popular cloud service providers. Company Description Bolster builds a next-generation AI-powered fraud prevention and brand protection platform designed to detect and eliminate phishing, impersonation, and online scams at internet scale. Our platform protects enterprises from external digital threats across websites, social media, mobile apps, messaging platforms, and the dark web, helping organizations safeguard their brands and customers from rapidly evolving cyberattacks. - Bolster is trusted by leading global enterprises and Fortune 500 companies that rely on our technology to detect and automatically take down phishing and impersonation attacks in real time. - Our team brings deep cybersecurity expertise with decades of combined experience across leading technology and security organizations. - Bolster is backed by leading investors including M12 (Microsoft’s venture fund), Thomvest Ventures, and Crosslink Capital, helping accelerate innovation in AI-driven threat protection. - Our AI and machine learning technology uses deep learning, computer vision, natural language processing, and large-scale threat intelligence to detect malicious infrastructure and automate takedowns with high accuracy and speed. - We also extend our technology to the broader community through CheckPhish (https://checkphish.ai) — a free phishing and scam detection tool used by millions of security researchers, organizations, and consumers worldwide.
Job Requirements
- Bachelor's or master’s degree in computer science or software engineering with over 6 years of proven experience as a backend Software Engineer.
- Established track record of working in startups with a fast pace of development.
- Coding experience in Typescript or Python preferred.
- Strong experience with data stores like Elastic Search and PostgreSQL.
- Expert in coding efficient, maintainable code, with a habit of adding extensive unit and integration tests.
- Hands-on experience with tools to identify back-end performance bottlenecks and improve them.
- Demonstratable experience using AI code development tools.
- Knowledge of AI LLMs, prompt engineering, and Agentic AI frameworks would be a huge plus.
- Implement security best practices and procedures to protect sensitive data.
- Root cause analysis on production issues and resolved customer issues.
- Add monitoring and alerting that can help identify production issues proactively.
- Excellent problem-solving and debugging skills.
- Experience working with popular cloud service providers.
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