Principal Software Engineer – Next-Generation API, AI Platform Architecture

🕒 il y a 3 mois

🤠 Texas – Distant

🤠 Texas – Remote

⏰ Temps Plein

🔴 Expert

🔙 Ingénieur Back-end

🦅 Parrain de Visa H1B

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SpyCloud

Site WebLinkedInTous les Emplois

51 - 200 employés

🔒 Cybersecurity

🔐 Sécurité

🏢 Entreprise

Cybersecurity • Security • Enterprise

SpyCloud est une entreprise de cybersécurité spécialisée dans la protection des identités et le renseignement sur les menaces. La société propose des solutions pour la protection des entreprises, la protection contre les risques consommateurs et les enquêtes sur la cybercriminalité. Les services de SpyCloud incluent la prévention automatisée du détournement de compte, la remédiation après infection, la prévention contre les rançongiciels, la prévention du détournement de session, l'attribution d'acteurs de la menace, la prévention de la fraude, la surveillance du dark web et les tests d'intrusion. En s'intégrant aux systèmes SIEM et SOAR, SpyCloud aide les organisations à réduire leur risque de rançongiciels et d'autres attaques critiques en sécurisant les identités numériques. Leurs partenariats de données enrichissent leurs offres grâce à l'accès à des données piratées, malveillantes et de hameçonnage. SpyCloud s'engage à perturber les cybercrimes en utilisant des analyses avancées pour protéger les comptes des employés et des consommateurs et démasquer les acteurs de la menace.

Description

• Architect and implement customer-facing data and intelligence APIs with clear versioning, SLAs, and backward compatibility. • Define and enforce API contracts for: Low latency, high throughput endpoints; Agentic workflows (tools, actions, state transitions, handoffs); Context retrieval and enrichment. • Design APIs as durable platform interfaces, not thin wrappers over storage systems. • Establish standards for schema governance, payload design, and service boundaries. • Architect service layers that support agentic workflows, including orchestration interfaces, guardrails, and runtime observability. • Build API surfaces that expose model outputs safely and consistently. • Collaborate with MLEs and Data Scientists to move models from experimentation into robust inference services. • Ensure proper lifecycle management, monitoring, and rollback mechanisms for ML-powered endpoints. • Design and implement service layers that sit on top of the gold-layer system of record. • Build and evolve context hubs derived from authoritative systems of record, enabling consistent entity, identity, or risk context for downstream services. • Ensure APIs are aligned with medallion architecture principles and platform data contracts. • Prevent fragmentation by maintaining strong coupling to canonical schemas and governed data models. • Design high-throughput, low-latency services supporting batch and streaming workloads. • Implement scalable infrastructure patterns on AWS. • Ensure strong observability, error handling, performance tuning, and cost awareness. • Drive infrastructure-as-code practices and production readiness standards. • Serve as a senior architectural voice in design reviews. • Raise the bar on code quality, system design, and operational rigor. • Mentor engineers on API design, distributed systems, and ML integration patterns. • Influence platform direction through technical depth rather than organizational authority.

🎯 Exigences

• 10+ years of experience building distributed systems, APIs, or large-scale data platforms. • Deep experience designing and implementing customer-facing APIs as long-lived products. • Strong understanding of schema governance, versioning strategies, and contract design. • Experience productionizing ML models and exposing inference services. • Experience designing or integrating agentic or autonomous workflows. • Experience building service layers on top of systems of record or semantic data layers. • Strong background in distributed systems reliability, observability, and scalability. • Proficiency in Go & Python (and/or backend service languages). • Hands-on experience with Databricks/Snowflake • Strong experience with AWS infrastructure and infrastructure-as-code tools

🏖️ Avantages

• 401(k) with Employer Contribution • Health, Vision, and Dental Insurance • Health Savings Account (HSA) available with Employer Contribution • Employer Paid Life, Short-term, and Long-term Disability Insurance • Generous PTO Plan and 16 paid holidays per year • Retirement Savings Plan with Employer Contribution • Employer Provided Private Health Insurance and Healthcare Cashplan • Employer Paid Life Insurance and Income Replacement • Generous Holiday Plan and 14 paid holidays per year