What are the responsibilities and job description for the Platform Engineering Manager position at Nexus Cognitive?
Description
The Platform Engineering Manager will lead the engineering teams responsible for building, automating, and operating the NexusOne data platform within enterprise client environments.
This individual is a player-coach — equally capable of hands-on delivery and strategic leadership — driving platform automation, scalability, and reliability across global deployments.
They will oversee a cross-functional team of Platform Engineers, DevOps, and DataOps resources, ensuring all NexusOne deployments meet performance, compliance, and uptime goals.
Core Responsibilities
Key Skills & Tools
Key Skills & Tools
The Platform Engineering Manager will lead the engineering teams responsible for building, automating, and operating the NexusOne data platform within enterprise client environments.
This individual is a player-coach — equally capable of hands-on delivery and strategic leadership — driving platform automation, scalability, and reliability across global deployments.
They will oversee a cross-functional team of Platform Engineers, DevOps, and DataOps resources, ensuring all NexusOne deployments meet performance, compliance, and uptime goals.
Core Responsibilities
Key Skills & Tools
- Infrastructure & Automation: Jenkins, GitLab CI/CD, Terraform, Helm, Kubernetes (K8s), OpenShift (OCP), Vault, Ansible
- Platform Components: Spark, Trino, Airflow, NiFi, Ranger, Iceberg, DataHub
- Security & Networking: IAM, SSO, RBAC, Kerberos, firewall configurations, and secure network zoning
- Monitoring & Observability: Prometheus, Grafana, Datadog, Splunk
- Languages & OS: Linux, Bash, Python, YAML, Go (plus familiarity with Java/Scala)
- Process & Delivery: Agile/Scrum, DevOps, ITIL change management
- 8–12 years of experience managing platform or infrastructure teams in data platform, DevOps, or SRE organizations.
- Strong background as a hands-on engineer in earlier roles; comfortable leading by example.
- Experience at scale — e.g., Cloudera, Databricks, AWS EMR, or large hybrid-cloud enterprise environments.
- Proven record building and mentoring global teams (USA/India model preferred).
- Deep understanding of enterprise-grade deployment, observability, and operational excellence practices.
- Successful on-time deployment of NexusOne environments with high platform stability and zero major incidents.
- Demonstrated improvement in deployment velocity and reduction in environment provisioning time.
- Clear, measurable SLA adherence across uptime, performance, and support metrics.
- Documented automation and CI/CD frameworks reusable across future clients.
- Positive team engagement and retention; consistent delivery of high-quality, secure platform builds.
Key Skills & Tools
- Infrastructure & Automation: Jenkins, GitLab CI/CD, Terraform, Helm, Kubernetes (K8s), OpenShift (OCP), Vault, Ansible
- Platform Components: Spark, Trino, Airflow, NiFi, Ranger, Iceberg, DataHub
- Security & Networking: IAM, SSO, RBAC, Kerberos, firewall configurations, and secure network zoning
- Monitoring & Observability: Prometheus, Grafana, Datadog, Splunk
- Languages & OS: Linux, Bash, Python, YAML, Go (plus familiarity with Java/Scala)
- Process & Delivery: Agile/Scrum, DevOps, ITIL change management
- 8–12 years of experience managing platform or infrastructure teams in data platform, DevOps, or SRE organizations.
- Strong background as a hands-on engineer in earlier roles; comfortable leading by example.
- Experience at scale — e.g., Cloudera, Databricks, AWS EMR, or large hybrid-cloud enterprise environments.
- Proven record building and mentoring global teams (USA/India model preferred).
- Deep understanding of enterprise-grade deployment, observability, and operational excellence practices.
- Successful on-time deployment of NexusOne environments with high platform stability and zero major incidents.
- Demonstrated improvement in deployment velocity and reduction in environment provisioning time.
- Clear, measurable SLA adherence across uptime, performance, and support metrics.
- Documented automation and CI/CD frameworks reusable across future clients.
- Positive team engagement and retention; consistent delivery of high-quality, secure platform builds.
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