Cloud Operations Site Reliability Engineer (SRE)

BNY Mellon

New York (NY)

On-site

USD 140,000 - 210,000

Full time

5 days ago
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Job summary

BNY Mellon is seeking a Cloud Operations Site Reliability Engineer (SRE) to join our Cloud, Platform, and AI Infrastructure team. The role is based in Pittsburgh or Lake Mary and involves supporting Azure, GCP, AWS, and OCI across enterprise environments, with a strong emphasis on Kubernetes, Linux, and automation.

You will drive incident response, RCA, capacity planning, and governance collaboration while advancing ModelOps and AI infrastructure.

Qualifications

  • Bachelor's degree in computer science, engineering, IT, or related field; professional infra certs preferred.
  • Typically 6–10 years of cloud operations or SRE experience in enterprise environments.
  • Hands-on Azure and GCP in production, plus familiarity with AWS or OCI.
  • Experience supporting Kubernetes, especially AKS.
  • Strong Linux administration and troubleshooting skills.
  • Experience with Terraform and infrastructure as code.
  • Monitoring/logging/observability tools such as Splunk.
  • Vulnerability remediation tools Wiz and Qualys.
  • Scripting/automation in Python, Bash, or PowerShell.
  • Incident, problem, change and release management in enterprise settings.
  • GRC understanding in regulated environments, with a collaborative mindset.

Responsibilities

  • Support day-to-day operations across multi-cloud environment, focusing on Azure and GCP.
  • Provide operational support for AWS and OCI as needed.
  • Manage cloud provisioning, configuration changes, service requests, and decommissioning.
  • Support AKS/Kubernetes and containerized workloads with engineering teams.
  • Perform Linux administration and support for cloud-hosted platforms.
  • Support cloud-hosted databases such as Azure SQL MI and Oracle.
  • Maintain AI/ML infrastructure and ModelOps-related services.
  • Remediate configuration, security, and vulnerability issues using Wiz and Qualys.
  • Monitor infrastructure and services with Splunk and other observability tools.
  • Respond to incidents, conduct root cause analysis, and implement preventive actions.
  • Support release and deployment management for controlled production changes.
  • Assist with cloud demand, capacity management, and quota forecasting.
  • Collaborate with security, risk, compliance, audit, and engineering teams on governance.
  • Contribute to business continuity, disaster recovery, and resiliency practices.
  • Automate routine operations using Terraform, Python, Bash, or PowerShell.
  • Maintain documentation, runbooks, and operational procedures.
  • Participate in on-call or after-hours support rotations.

Skills

Cloud operations
SRE
Azure
GCP
Kubernetes
Linux
Terraform
Splunk
Python
Automation

Education

Bachelor's degree in Computer Science, Engineering, Information Technology, or related field

Tools

Azure
GCP
AWS
OCI
AKS
Terraform
Splunk
Wiz
Qualys
Python
Bash
PowerShell

Job description

At BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world's investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance - and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

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
At BNY, our culture speaks for itself, check out the latest BNY news at:

BNY Newsroom

BNY LinkedIn

Here’s a few of our recent awards:

America’s Most Innovative Companies, Fortune, 2025

World’s Most Admired Companies, Fortune 2025

"Most Just Companies", Just Capital and CNBC, 2025

Our Benefits and Rewards:

BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life's journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.

BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

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