招聘
必备技能
Python
Kubernetes
Kafka
Meet the Team
You will be a member of Cisco Nexus Dashboard Solutions team Cisco Nexus Dashboard is an excellent platform with integrated controller, orchestrator, analytics and assurance packages. Customer growth in last 2 years has been phenomenal. We work on cutting edge applications and there is ample creative liberty for developers to explore and adopt new technologies available as we adopt more AI coding suites and are developing solutions for or new AI based ethernet data centers. We have a plethora of different modules like telemetry collectors, ingestion pipelines, analytics pre and post processors, ML based engines, AI solutions, Integations for Vcenter, Slurm, openshift, Kubernetes.
Folks will get ample opportunities to problem solving in scaled, distributed performance oriented applications with these techonlogies; KAfka, ELastic, Mongo, open telemetry, Gpb, Gnmi, grpc, ML models, Nvidia tech stack in GPU servers, golang, python software environments - you name it we have that technology adopted. We focus on problem solving for our customers who have deployed our data centers, key drivers of growth for Cisco Data centers.
Recent results tell us that our DC solutions for AI infrastructure support powered by Nvidia GPUs is growing at double digit growth numbers yoy.
- AI infrastructure demand: The rise of generative AI is creating a massive demand for high-bandwidth networking, which Cisco is positioned to supply through its AI-ready infrastructure solutions.
- Cloud repatriation: Many organizations are moving certain applications back to private data centers after cloud migrations, a trend known as "cloud repatriation".
- On-premises AI initiatives: The need to support new on-premises AI workloads is a top driver for organizations to expand their physical data center footprints.
Data center modernization: Cisco is helping customers modernize their data centers with new technologies like the Nexus 9000 series switches and UCS X-Series servers, which offer greater performance.
Your Impact
- You will be responsible for crafting, building our next generation applications to configure, manage, monitor, troubleshooting data centres on Cisco Nexus Dashboard platform.
- Define the standards, processes, best-practice guidelines and provide a common set of components for developing and deploying microservices on our Insights On-Prem environments.
- Develop scalable microservices for the data centre automation workflows
- Develop analytics solutions to ingest, post-process and visualize large amounts of telemetry data streamed from data centre switches
- Develop creative solutions for troubleshooting data centres
- Develop ML/statistical model-based solutions to predict network related data patterns
- Develop Gen AI based solutions to help create highly effective troubleshooting applications
- Communicate and collaborate effectively with cross functional teams, technical marketing teams, product teams and internal partners on deployment topics in general, and the merits of our system in particular.
Minimum Qualifications
- 7+ years of related work experience is required in microservices software architecture, crafting, building, and debugging large scale distributed systems.
- Programming languages: Go, C++, Python
- Proven expertise in data structures, algorithms, Kafka, Elastic search, mongo db, gen AI, AI/ML technologies
- software design with strong analytical and debugging skills
- Familiar with agile practices, and believes in test driven development
Preferred Qualifications:
- Programming languages: Go, C++, Python, React(optional)
- Proven expertise in Microservices, distributed architecture, system design for large scale services built for scale and performance
- Proven experience in data structures, algorithms, Problem solving
- Proven experience in message queueing technologies like Kafka, rabbit Mq ( atleast one)
- Proven experience in No-sql distributed DB’s like Elastic search, mongo, (atleast one)
- Proven expertise in software design with strong analytical and debugging skills
- Familiar with agile practices, and believes in test driven development
- Develop ML/statistical model-based solutions to predict network related data patterns
- Familiarity with Gen AI applications, Agentic AI is a plus
Why Cisco?
At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
We are Cisco, and our power starts with you.
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Cisco
PublicCisco Systems, Inc. is an American multinational technology conglomerate corporation that develops, manufactures, and sells hardware, software, telecommunications equipment and other high-technology services and products focused on networking, cyber security and AI.
10,001+
员工数
San Jose
总部位置
$317B
企业估值
评价
4.3
10条评价
工作生活平衡
3.5
薪酬
4.2
企业文化
4.6
职业发展
3.8
管理层
4.0
78%
推荐给朋友
优点
Supportive and friendly team culture
Flexible work arrangements and remote options
Excellent benefits and competitive compensation
缺点
High-pressure and demanding work environment
Work-life balance challenges
Limited career advancement opportunities
薪资范围
0个数据点
L2
L3
L4
L5
L6
L2 · Security L2
0份报告
$108,550
年薪总额
基本工资
$43,420
股票
$54,275
奖金
$10,855
$75,985
$141,115
面试经验
4次面试
难度
3.0
/ 5
时长
14-28周
体验
正面 0%
中性 25%
负面 75%
面试流程
1
Application Review
2
Phone Screen
3
Technical Interview Round 1
4
Technical Interview Round 2
5
Behavioral Interview
6
Team Matching
7
Final Round
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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