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Lead Site Reliability Engineer, Network Assurance Data Platform

Lead Site Reliability Engineer, Network Assurance Data Platform

Cisco

7 - 11 years

25 - 30 Lacs

bengaluru

Posted:3 hours ago| Platform:

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Skills Required

site reliability hive kubernetes application developer python airflow ai aws sagemaker devops engineer machine learning alerting elk stack spark grafana devops kafka terraform hadoop prometheus yarn big data aws

Work Mode

Work from Office

Job Type

Full Time

Job Description

Your Impact

As a Site Reliability Engineering (SRE) Technical Leader on the Network Assurance Data Platform (NADP) team, you will play a key role in ensuring the reliability, scalability, and security of our cloud and big data platforms. You will represent the NADP SRE team, working in a dynamic environment, tackling challenges with creativity, providing technical leadership in defining and delivering on the team's technical roadmap. You will collaborate with cross-functional teams, including software development, product management, customers and security teams, to design, influence, build, and maintain SaaS systems operating at multi-region scale. Your work will directly impact the success of our machine learning (ML) and AI initiatives by ensuring the underlying platform infrastructure is robust, efficient, and aligned with operational excellence.Responsibilities:

Design, build, and optimize cloud and data infrastructure to ensure the high availability, reliability, and scalability of big-data and ML/AI systems to meet customer needs, while implementing SRE principles such as monitoring, alerting, error budgets, and fault analysis.
Collaborate closely with cross-functional teams, including customers, development, product management, and security teams, to create secure, scalable solutions that support ML/AI workloads and enhance operational efficiency through automation.
Troubleshoot complex technical problems in production environments, perform root cause analyses, and contribute to continuous improvement efforts through postmortem reviews and proactive performance optimization.
Lead the architectural vision and shape the teams technical strategy and roadmap, balancing immediate needs with long-term goals, driving innovation, and influencing the technical direction.
Serve as a mentor and technical leader, guiding teams and fostering a culture of engineering and operational excellence by sharing your deep knowledge and experience.
Engage with customers and stakeholders to understand use cases and feedback, translating them into actionable insights and effectively influencing stakeholders at all levels.
Utilize your strong programming skills to integrate software and systems engineering, building core data platform capabilities and automation to meet enterprise customer needs and roadmap objectives.
Develop strategic roadmaps, processes, plans, and infrastructure to efficiently deploy new software components at an enterprise scale while enforcing engineering best practices.

Minimum Qualifications

Ability to design and implement scalable and well tested solutions, with focus on operational efficiency.
Strong hands-on cloud experience, preferably AWS.
Infrastructure as a Code expertise, especially Terraform and Kubernetes/EKS.
Experience building and managing Cloud, Big Data, and ML/AI infrastructure, including hands-on expertise with Hadoop ecosystem components and related technologies such as EMR, Airflow, Spark, PySpark, AWS SageMaker, AWS Bedrock, Gobblin, Kafka, Iceberg, ORC, MapReduce, Yarn, HDFS, Hive, and Hudi.
Ability to write high quality code in Python, Go, or equivalent programming languages.

Preferred Qualifications

Solid understanding of Unix/Linux systems, the kernel, system libraries, file systems, and client-server protocols.
Have experience with architecting software and infrastructure at scale with a sense of ownership and accountability.
Experience with observability tools including Prometheus (Alertmanager), Grafana, Thanos, CloudWatch, OpenTelemetry, and the ELK stack.
Certifications: CKA (Certified Kubernetes Administrator), CKAD (Certified Kubernetes Application Developer), AWS Certified DevOps Engineer, or equivalent certifications in cloud and security domains.

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Lead Site Reliability Engineer, Network Assurance Data Platform