Bolster Inc. - Senior Software Engineer, Backend

• 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 • 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. The platform helps identify fraudulent websites and contributes valuable threat intelligence to strengthen Bolster’s detection models. • Learn more about our culture and values: https://bolster.ai/ • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.