5 дней назад
Software Engineer II, Model Platform (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer II, Model Platform (AI): Building and scaling model-serving infrastructure, real-time data pipelines, and online feature-serving systems for an advanced threat-detection platform with an accent on distributed systems, cloud engineering, and data-intensive services. Focus on scaling model-serving and data-processing workloads by 10x, optimizing performance, and creating reliable development workflows for ML Engineering and Data Science teams.
Company
develops technology that detects and prevents advanced email and cloud-based attacks.
What you will do
- Architect, design, build, deploy, and maintain model-serving infrastructure for the Detection Engine.
- Scale model-serving and data-processing services to support 10x current traffic.
- Build and operate real-time and near-real-time streaming pipelines.
- Develop online feature-serving services for detection models.
- Collaborate with ML Engineering and Data Science teams to turn feedback into technical strategy and delivered solutions.
Requirements
- 4+ years of experience as a Software Engineer or in a similar role, including hands-on work with data-focused solutions.
- Experience using AI tools throughout software discovery, design, implementation, and rollout.
- Experience maintaining large-scale distributed systems on AWS, GCP, or Azure.
- Experience with real-time or near-real-time data pipelines and streaming services.
- Strong computer science fundamentals, including data structures and performance optimization.
- Bachelor’s degree in Computer Science, Applied Sciences, Information Systems, or a related engineering field.
Nice to have
- Familiarity with AWS, Kubernetes, Python/Django, Golang, and Postgres.
- Experience building scalable, enterprise-grade applications.
- Knowledge of web security and the OWASP Top 10.
- Familiarity with Cursor, GitHub Copilot, or Claude.
Culture & Benefits
- Potential eligibility for equity and annual bonus or other incentive compensation.
- Comprehensive benefits package.
- AI-assisted recruiting tools support interview preparation but do not make hiring decisions.
- Video interviews, identity validation, and pre-employment checks are part of the secure hiring process.
Hiring process
- Applications are reviewed individually, with a typical response within two weeks.
- Interview stages include video interviews and identity validation.
- Successful candidates complete pre-employment checks before receiving a final offer.
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