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Jobs(30,547)/Principal Engineer Role(178)/Extreme Networks (2) - Sr. Principal Engineer/ Principal Engineer – Cloud Platform
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Extreme Networks

Extreme Networks - Sr. Principal Engineer/ Principal Engineer – Cloud Platform

San Jose, California, United States2d ago
In OfficePrincipalNACloud ComputingSoftwarePrincipal EngineerCloud EngineerAWSGCPJavaGoAzureDockerKubernetesPythonNoSQLKafkaMongoDBPostgreSQLMySQLRedisCassandraElasticsearchC#TerraformHelmTypeScriptPrometheusJenkinsELKGrafanaMentoring

Requirements

• 15+ years of software engineering experience with at least 8+ years in distributed systems and microservices architecture. • Demonstrated expertise in designing and building large-scale cloud platforms or SaaS applications. • Deep understanding of microservices architecture, API design, and event-driven systems. • Strong proficiency in cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). • Expertise in modern programming languages (Java, Go, Python, or similar) and frameworks. • Hands-on experience with database technologies (relational and NoSQL), data management, and eventual consistency patterns. • Strong background in DevOps practices, CI/CD pipelines, and infrastructure-as-code. • Proven ability to lead complex technical initiatives and guide cross-functional teams. • Experience with security and compliance considerations in cloud platform design. • Bachelor's or master's degree in computer science, Computer Engineering, or equivalent professional experience. • Experience with identity and access management (IAM) systems and authentication/authorization frameworks. • Knowledge of licensing systems, metering, and usage-based analytics. • Background in network visualization, monitoring, or IT operations platforms. • Experience with real-time data streaming platforms (Kafka, Kinesis, or similar). • Expertise in audit logging, compliance monitoring, and regulatory frameworks. • Prior experience with API management platforms and developer portals. • Knowledge of orchestration platforms and workflow management systems. • Experience mentoring and building high-performing engineering teams. • Open-source contributions or speaking engagements at technical conferences. • Architecture & Design: Microservices, event-driven architecture, CQRS, API design, distributed systems patterns • Cloud Platforms: AWS (EC2, ECS, EKS, Lambda, RDS, DynamoDB), Azure, or GCP • Container & Orchestration: Docker, Kubernetes, Helm, container networking • Programming Languages: Java, Go, Python, C#, or TypeScript • Databases: PostgreSQL, MySQL, MongoDB, Cassandra, Redis, Elasticsearch • DevOps & Infrastructure: Terraform, CloudFormation, Jenkins, GitLab CI, GitHub Actions • Observability: Prometheus, Grafana, ELK Stack or similar • Security: OAuth 2.0/OIDC, TLS/SSL, secrets management, vulnerability scanning • Strategic thinking and long-term vision for technology direction • Exceptional communication and presentation skills • Leadership and mentorship capabilities • Problem-solving and analytical thinking • Passion for operational excellence and continuous improvement • Ability to make trade-offs and prioritize technical decisions

Responsibilities

• Design and architect a scalable, highly available cloud platform with 15+ microservices including Audit Logs, API Gateway, Device Health, Usage & Capacity, Device Status, Users, Applications, IAM, License, Alerts, Metrics, Network Visualization, and Orchestration. • Establish and enforce architectural standards, best practices, and patterns across all platform services. • Lead the technical strategy for cloud platform evolution, including infrastructure decisions, technology selections, and deployment architectures. • Mentor and guide engineering teams in microservices design, providing code reviews and architectural guidance. • Drive performance optimization, scalability improvements, and reliability enhancements across the platform. • Collaborate with product, DevOps, and security teams to align platform capabilities with business objectives. • Define and implement monitoring, observability, and alerting strategies for complex distributed systems. • Lead technical investigations and resolution of complex production issues. • Evaluate and integrate new technologies and frameworks to enhance platform capabilities. • Participate in architectural review boards and technology steering committees.

Benefits

• Opportunity to lead the architecture of a cutting-edge cloud platform serving thousands of enterprise customers • Collaborative environment with talented engineering teams and cross-functional stakeholders • Professional development opportunities including training, conferences, and certifications • Comprehensive health, wellness, and retirement benefits • Flexible work environment with remote options • Leadership role with high visibility and impact across the organization • Extreme Networks, Inc. (EXTR) creates effortless networking experiences that enable all of us to advance. We push the boundaries of technology leveraging the powers of machine learning, artificial intelligence, analytics, and automation. Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions and rely on our top-rated services and support to accelerate their digital transformation efforts and deliver progress like never before. For more information, visit Extreme's website or follow us on Twitter, LinkedIn, and Facebook. • We encourage people from underrepresented groups to apply. Come Advance with us! In keeping with our values, no employee or applicant will face discrimination/harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination/harassment based on “protected categories,” Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (e.g., stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks. • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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