Description

• Experience: 10+ years of progressive experience in platform engineering, cloud infrastructure, DevOps, site reliability engineering, or enterprise production support. • Cloud Architecture: Advanced hands-on expertise across AWS and Microsoft Azure, including compute, storage, networking, identity, security, governance, monitoring, resilience, and cost optimization. • Containers and Orchestration: Strong expertise with Kubernetes and Docker, including cluster operations, workload deployment, scaling, upgrades, configuration, security, performance tuning, and complex troubleshooting. • Data Platform Engineering: Strong operational experience supporting Databricks, dbt, Apache Airflow, AutoSys, and enterprise data processing environments. Experience with LASR and Caspian is preferred. • Infrastructure as Code and CI/CD: Advanced experience with Terraform and enterprise CI/CD platforms such as Harness, Azure DevOps, GitHub Actions, Jenkins, or equivalent, including reusable modules and deployment controls. • Automation: Strong scripting and automation capability using Python, Shell, Bash, or PowerShell to reduce manual effort and improve platform reliability. • Observability and SRE: Experience designing monitoring, logging, alerting, service health dashboards, SLI/SLO measures, capacity controls, and operational readiness using Azure Monitor, AWS CloudWatch, Datadog, Splunk, or similar tools. • Security and Compliance: Strong understanding of IAM/RBAC, secrets management, vulnerability remediation, patching, policy enforcement, audit readiness, business continuity, and disaster recovery. • ITSM and Agile Delivery: Proficiency with ServiceNow and Jira for incident, problem, change, service request, release, backlog, and continuous-improvement management. • Technical Leadership: Proven ability to lead technical decisions, coordinate complex incident resolution, mentor engineers, review designs, manage risks, and communicate effectively with senior stakeholders." "• Experience: 10+ years of progressive experience in platform engineering, cloud infrastructure, DevOps, site reliability engineering, or enterprise production support. • Cloud Architecture: Advanced hands-on expertise across AWS and Microsoft Azure, including compute, storage, networking, identity, security, governance, monitoring, resilience, and cost optimization. • Containers and Orchestration: Strong expertise with Kubernetes and Docker, including cluster operations, workload deployment, scaling, upgrades, configuration, security, performance tuning, and complex troubleshooting. • Data Platform Engineering: Strong operational experience supporting Databricks, dbt, Apache Airflow, AutoSys, and enterprise data processing environments. Experience with LASR and Caspian is preferred. • Infrastructure as Code and CI/CD: Advanced experience with Terraform and enterprise CI/CD platforms such as Harness, Azure DevOps, GitHub Actions, Jenkins, or equivalent, including reusable modules and deployment controls. • Automation: Strong scripting and automation capability using Python, Shell, Bash, or PowerShell to reduce manual effort and improve platform reliability. • Observability and SRE: Experience designing monitoring, logging, alerting, service health dashboards, SLI/SLO measures, capacity controls, and operational readiness using Azure Monitor, AWS CloudWatch, Datadog, Splunk, or similar tools. • Security and Compliance: Strong understanding of IAM/RBAC, secrets management, vulnerability remediation, patching, policy enforcement, audit readiness, business continuity, and disaster recovery. • ITSM and Agile Delivery: Proficiency with ServiceNow and Jira for incident, problem, change, service request, release, backlog, and continuous-improvement management. • • Technical Leadership: Proven ability to lead technical decisions, coordinate complex incident resolution, mentor engineers, review designs, manage risks, and communicate effectively with senior stakeholders

Key Skills

Education

Bachelor's degree