Bachelor's degree in Computer Science, Information Technology, or related field; professional certifications preferred.
6-10 years of experience in cloud operations, SRE, or infrastructure engineering.
Hands-on experience with Azure and GCP in enterprise production environments.
Working knowledge of AWS and/or OCI.
Strong Linux administration and troubleshooting skills.
Responsibilities
Support day-to-day operations across BNY's multi-cloud environment, focusing on Azure and GCP.
Manage cloud provisioning, configuration changes, service requests, and decommissioning activities.
Support AKS/Kubernetes and containerized workloads in collaboration with engineering teams.
Drive remediation of configuration, security, and vulnerability issues using tools like Wiz and Qualys.
Monitor infrastructure and services using enterprise observability tools such as Splunk.
Assist with cloud demand and capacity management, including quota monitoring and forecasting.
Automate routine operational processes using Terraform, Python, Bash, or PowerShell.
Benefits
Participation in on-call or after-hours support rotations as needed.
Opportunities for professional development and certifications.
Collaborative work environment with cross-functional teams.
Involvement in governance and compliance initiatives.
Focus on business continuity and disaster recovery practices.
Full Job Description
Job Description
We're seeking a future team member for the role of Cloud Operations Site Reliability Engineer (SRE) to join our Cloud, Platform, and AI Infrastructure team. This role is located in Pittsburgh or Lake Mary.
In this role, you'll make an impact in the following ways:
Support day-to-day operations across BNY's multi-cloud environment, with a primary focus on Azure and GCP
Provide operational support for AWS and OCI as needed
Manage cloud provisioning, configuration changes, service requests, and decommissioning activities
Support AKS/Kubernetes and containerized workloads in partnership with engineering teams
Perform Linux administration and support for cloud-hosted platforms and workloads
Support cloud-hosted database platforms including Azure SQL Managed Instance and Oracle
Help maintain operational support for AI/ML infrastructure, model runtime environments, and ModelOps-related services
Drive remediation of configuration, security, and vulnerability issues using tools such as Wiz and Qualys
Monitor infrastructure and services using enterprise observability tools including Splunk
Respond to incidents, support root cause analysis, and implement corrective and preventive actions
Support release and deployment management, ensuring controlled and reliable production changes
Assist with cloud demand and capacity management, including quota monitoring, forecasting, and capacity risk identification
Partner with security, risk, compliance, audit, and engineering teams to support governance and control requirements
Contribute to business continuity, disaster recovery, resiliency, and operational recovery practices
Automate routine operational processes using Terraform, Python, Bash, PowerShell, or similar tools
Maintain documentation, runbooks, and operational procedures
Participate in on-call or after-hours support rotations as needed
To be successful in this role, we're seeking the following:
Bachelor's degree in computer science, Information Technology, or a related field. - Professional certifications in relevant technologies or infrastructure management are preferred. **EXPERIENCE:** Typically 6-10 years of experience. Bachelor's degree in Computer Science, Engineering, Information Technology, or related experience
Experience in cloud operations, SRE, infrastructure engineering, platform support, or AI/ML platform operations
Hands-on experience with Azure and GCP in enterprise production environments
Working knowledge of AWS and/or OCI
Experience supporting Kubernetes, especially AKS
Strong Linux administration and troubleshooting skills
Experience supporting cloud-hosted databases such as Azure SQL MI and/or Oracle
Experience with Terraform and infrastructure as code
Experience with monitoring, logging, and observability tools such as Splunk
Experience with vulnerability remediation and support tools such as Wiz and Qualys
Strong troubleshooting skills across cloud, infrastructure, networking, databases, and platform services
Familiarity with scripting and automation using Python, Bash, or PowerShell
Experience with incident, problem, request, and release management in enterprise environments
Understanding of governance, risk, compliance, and controls in a regulated environment
Strong communication, collaboration, and operational ownership mindset
