Back-End Software Engineer, Product Services – Detection

Job not on LinkedIn

🔥 0 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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BforeAI

WebsiteLinkedInAll Job Openings

51 - 200 employees

🔒 Cybersecurity

🤖 Artificial Intelligence

💸 Finance

💰 Non Equity Assistance on 2024-02

Cybersecurity • Artificial Intelligence • Finance

BforeAI is a cybersecurity company that specializes in predictive security solutions to prevent online threats before they impact businesses. They offer the PreCrime™ platform, which autonomously predicts, blocks, and preempts cyber threats such as phishing, spoofing, impersonation, hijacking, ransomware, online fraud, and exfiltration. Using behavioral analytics and advanced artificial intelligence, BforeAI monitors suspicious domain activity and provides actional disruption far in advance of conventional threat intelligence tools. They cater to various industries including financial, manufacturing, retail, and media, aiming to protect brands from financial and reputational harm. BforeAI’s solutions integrate seamlessly with existing security systems to disrupt malicious activity proactively and are recognized for their effectiveness by reports from Gartner, being a 2024 Gartner Cool Vendor for AI in Banking & Investment Services.

📋 Description

• Build and maintain Python and Go services and APIs for product features and detections • Design features around shared identities, evidence, relationships, and history • Reuse existing data capabilities and resolve interface requirements with Platform Engineering • Turn researcher-developed detection methods into tested production services with defined inputs, outputs, and evaluation criteria • Build APIs exposing threat evidence and supporting customer investigation workflows with Product and frontend engineers • Implement reliable reevaluation and customer updates when underlying evidence or intelligence changes • Test failure handling, detection regressions, and authorization boundaries • Design for safe retries, idempotency, and predictable behavior in asynchronous and event-driven workflows • Enforce tenant isolation and access controls; preserve evidence and source context for results • Add observability, investigate production issues, and improve reliability and performance as usage grows • Contribute designs, code reviews, estimates, and documentation • Identify unclear requirements and dependencies • Verify AI-generated code before incorporating it into production software • Own defined capabilities from technical design through testing, release, and production support

🎯 Requirements

• Experience building SaaS products and/or product features on shared data platforms • Experience building, shipping, and supporting backend software in production • Strong proficiency in Python or Go, with willingness to develop proficiency in the other language • Experience designing or implementing APIs and integrating services with databases and external or internal systems • Understanding of asynchronous processing, distributed system failure modes, and practical reliability patterns • Ability to write maintainable code and automated tests, review others’ work, and debug production behavior • Understanding of secure software development, authorization, and protecting customer data • Ability to translate product requirements into service designs and implementations, working with domain specialists to resolve unclear requirements • Understanding of how data quality, freshness, relationships, and access permissions affect feature behavior and customer results • Ability to document decisions and coordinate assigned work in a remote team • Willingness to learn AI-assisted development practices and critically evaluate generated code • Relevant experience with both Python and Go may help • Experience with cybersecurity products, threat intelligence, or detection engineering may help • Experience with Azure, event-driven architectures, or multitenant applications may help • Experience building customer features on a data platform, including consuming shared APIs, data models, graph services, or analytical services may help • Experience working with researchers or integrating ML outputs into production workflows may help • Practical experience using AI development tools alongside automated testing and code review may help • Authorization to work in the country where based; the position is not eligible for visa sponsorship

🏖️ Benefits

• Flexible time off • Sick days • All public holidays • Stock options • Fully distributed, location-independent work environment • Benefits tailored to the country where you will be working • Reasonable accommodations for qualified individuals with disabilities as needed