Senior Software Engineer, Backend - India

Sr. Software Engineer, Backend

Bolster turns the security paradigm upside down and removes threats and digital risks before an attack occurs. Our protection extends beyond the enterprise to customers and partners. Our approach is the antithesis of today's cyber defense strategy, which is to wait for an attack than try and prevent it. Or worse, assume you have been breached and hope you can detect it. We leverage the power of AI to apply deep learning, computer vision, and natural language processing to identify criminal intent on millions of web pages daily. We tirelessly monitor the Internet to find malicious web pages that could cause harm and remove them. We empower companies to take back control of the Internet by continuously eliminating the threats that threaten their business, customers, and brand.

We are just getting started, and the future could be more exciting. We're growing the team in all functions as we transition from a small start-up into the next phase of our journey. We are looking for A-list talent who will have a meaningful impact, solve new challenges, and take ownership of the future of Bolster.

If this is you, apply and join our team!

Responsibilities

• Apply a data-driven approach to a wide variety of signals to identify emerging Cybersecurity fraud trends and tactics.
• Developing 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 mind-set 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

Required Skills and 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 resolve 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

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 ( — a free phishing and scam detection tool used by millions of security researchers, organizations, and consumers worldwide. The platform helps identify fraudulent websites and contributes valuable threat intelligence to strengthen Bolster's detection models.