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Equinix

Principal Engineer, Network Observability

Equinix, Redwood City, California, United States, 94061

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Principal Engineer, Network Observability

Equinix is the world’s digital infrastructure company, operating over 260 data centers across the globe. Digital leaders harness Equinix's trusted platform to bring together and interconnect foundational infrastructure at software speed. Our culture is based on collaboration and the growth and development of our teams. We hire hardworking people who thrive on solving challenging problems and give them opportunities to hone new skills and try new approaches, as we grow our product portfolio with new software and network architecture solutions. The DataStreamers team at Equinix is responsible for developing cutting-edge network monitoring applications that provide deep insights into our global infrastructure, building highly scalable and performant systems to collect, process, and visualize network data, enabling proactive monitoring, troubleshooting, and optimization of Equinix critical services. Job Summary

Datastreamers is seeking a highly experienced and motivated Principal Engineer with a strong background in Network Observability to join our team. In this role, you will be a technical leader, responsible for the design, development, and delivery of our next-generation network monitoring platform. Responsibilities

Lead the technical design and architecture of highly scalable and performant network observability applications. Drive the adoption of best practices in software development, including SOLID principles, SW patterns, code quality, and testing. Design and implement solutions for collecting, processing, and analyzing large volumes of network data. Utilize your expertise in network protocols (gNMI, SNMP) to integrate with various network devices and systems. Contribute to both backend and frontend development, with a focus on Java, Golang, and Python. Apply your knowledge of microfrontend architectures to build modular and maintainable user interfaces. Work with various data storage solutions, including relational databases, NoSQL databases, OLAP, and time-series databases. Optimize application performance and ensure the reliability and scalability of our systems. Collaborate closely with product managers, architects, and other engineers to define and deliver on product roadmaps. Provide technical guidance and mentorship to engineers, fostering their growth and development. Participate in code reviews and contribute to improving our development processes. Stay up-to-date with the latest trends and technologies in network observability, big data, and cloud computing. Hybrid, requiring going to the office at least two days per week (Tuesdays and Thursdays), subject to modifications according to Equinix policies. Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 10+ years of experience in software development, with a significant focus on backend systems. Deep expertise in Network Observability principles and practices. Strong proficiency in Java development. Understanding of GoLang and Python and its application in backend systems. Experience with frontend technologies and microfrontend architectures. Understanding and practical application of SOLID principles in software design. Proven ability to design and build high-scale applications with excellent performance characteristics. Significant experience with big data manipulation and processing techniques. Strong networking knowledge, including experience with gNMI and SNMP protocols. In-depth knowledge of various software architectures, including microservices architectures. Experience working with different types of databases: relational (e.g., PostgreSQL, MySQL), non-relational (e.g., Cassandra, MongoDB), and time-series databases (e.g., InfluxDB, Prometheus). Excellent problem-solving, communication, and collaboration skills. Demonstrated experience in mentoring engineers. Strong expertise in Grafana, ElasticSearch, Kibana, GIT, Jenkins. Experience with CI/CD pipelines using Jenkins, Git, and Kubernetes. Familiarity with containerization technologies (e.g., Docker, Kubernetes). Experience in one or more areas of AI development, such as natural language processing (NLP), computer vision, predictive analytics, or deep learning. Nice to Have

Experience with Clickhouse. Experience with cloud platforms (e.g., AWS, Azure, GCP). Experience with observability tools and platforms (e.g., Prometheus, Datadog, Splunk, Grafana, ELK stack). Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.

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