2 дня назад
AI Principal SW Systems Engineer (AI Infrastructure)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Principal SW Systems Engineer (AI Infrastructure): Building scalable, secure, and observable platforms for intelligent networking, real-time network data processing, distributed microservices, and agentic AI with an accent on high-volume data, cloud infrastructure, and production reliability. Focus on designing architectures, implementing event-driven services, enabling agent tool use and orchestration, and mentoring engineers while driving technical strategy.
Location: Bangalore or remote; workplace listed as hybrid
Company
develops cloud-driven networking solutions using artificial intelligence, machine learning, analytics, and automation for customers worldwide.
What you will do
- Define technical vision and strategic capabilities across intelligent networking, distributed systems, real-time data processing, agentic AI, and machine learning.
- Lead the full software development lifecycle, from architecture and implementation through testing, deployment, and production operations.
- Design and build scalable data pipelines, distributed microservices, agentic solutions, and integrations with networking systems.
- Build resilient, secure, observable, and high-performance systems for real-time network and operational data.
- Lead technical discussions, participate in design and code reviews, and improve architecture, performance, and operational readiness.
- Mentor engineers and establish technical direction across the team.
Requirements
- 10–16+ years of software engineering experience across architecture, design, coding, testing, deployment, and production operations.
- 10+ years of programming experience with Python, Java, Go, C++, or another general-purpose language.
- At least 3 years designing and architecting large-scale distributed systems, preferably on AWS, Azure, or Google Cloud.
- Experience with real-time microservices, stream processing, distributed data platforms, cloud infrastructure, AI or agentic systems, network telemetry, or large-scale analytics.
- Experience designing high-volume, high-velocity data systems with demanding scalability, availability, latency, and reliability requirements.
- Experience mentoring engineers, serving as a technical lead, or leading an engineering team, with a bachelor’s degree or equivalent practical experience.
Nice to have
- Master’s degree or PhD in computer science, computer engineering, electrical engineering, machine learning, or a related discipline.
- Experience with generative AI or agentic systems, including tool use, planning, memory, retrieval, orchestration, evaluation, and production deployment.
- Experience with networking, network management, observability, telemetry, cloud infrastructure, or distributed control-plane systems.
- Experience with Kafka, Spark, Flink, PySpark, MapReduce, or comparable distributed data technologies.
Culture & Benefits
- Work on intelligent networking, cloud-native platforms, real-time distributed systems, and AI-driven automation.
- Collaborate with engineers building capabilities for multiple flagship products and new offerings.
- Work in an environment focused on innovation, collaboration, accountability, diversity, and engineering excellence.
- Contribute to products used by more than 50,000 customers globally.
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