10 дней назад
Principal Software Engineer - SDET (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Software Engineer - SDET (AI) (Datacenter Networking): Designing, testing, and operating cloud-native datacenter networking products and large-scale infrastructure with an accent on automation, networking protocols, distributed systems, and observability. Focus on building test frameworks and CI/CD quality gates, solving complex networking and infrastructure problems, and applying AI agents to hyperscale environments.
Location: Onsite, primarily from an HPE office
Company
develops edge-to-cloud solutions that connect, protect, analyze, and manage data and applications.
What you will do
- Lead software development and solution testing for cloud-native datacenter networking products and protocols.
- Design, implement, troubleshoot, and debug large-scale datacenter networking solutions.
- Develop automation code and test frameworks for cloud and on-premises software using Python, Golang, Java, C, or C++.
- Build complex virtual networking topologies using KVM, OpenStack, Kubernetes, and VMware.
- Integrate automated test cases into CI/CD pipelines and strengthen quality gates for weekly production releases.
- Lead architecture discussions, make technical decisions, mentor engineers, and collaborate with cross-functional stakeholders.
Requirements
- Bachelor's or master's degree in Computer Science or a related field.
- At least 10 years of hands-on experience designing, building, and troubleshooting large-scale datacenter networks.
- Expertise in datacenter networking protocols, distributed systems, cloud-native development, microservices, and infrastructure as code.
- Strong TCP/IP knowledge and experience with EVPN/VXLAN and BGP.
- Experience with Cassandra, RabbitMQ, Elasticsearch, Docker, Prometheus, Grafana, OpenTelemetry, Datadog, or Signoz.
- Ability to work onsite from an HPE office, lead quality initiatives, and mentor engineers.
Nice to have
- Experience with RDMA, RoCEv2, InfiniBand, or Ultra Ethernet Consortium initiatives.
- Familiarity with AI/ML and agentic frameworks such as LangChain and FastAPI.
- Technical publications, citations, professional forum participation, or IEEE involvement.
Culture & Benefits
- Health, financial, and emotional wellbeing benefits for employees and their families.
- Personal and professional development programs supporting career growth and knowledge expertise.
- Inclusive work environment that values varied backgrounds and individual uniqueness.
- Opportunities to work on edge-to-cloud technology and high-impact customer problems.
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