
Leading company in the financial services industry
Vice President, Production Services Infrastructure Support
必备技能
AWS
Kubernetes
GCP
Azure
Machine Learning
Vice President, Production Services Infrastructure Support
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 and champions of inclusion, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #Life AtBNY is all about. Join us and be part of something extraordinary.
We’re seeking a future team member for the role of Vice President, Production Services Infrastructure Support to join our TSG PRODUCTION SERVICES team. This role is located in Pune
In this role, you’ll make an impact in the following ways:
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Lead support, maintenance, troubleshooting, and optimization of multi cloud platforms—primarily Azure, AWS, with exposure to GCP.
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Deliver advanced support for Azure Kubernetes Service (AKS), VM workloads, networking, identity failures, access issues, service degradation, and platform level incidents.
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Support AI/ML platform operations including Azure OpenAI, Azure Machine Learning, Azure Cognitive Services, GCP Vertex AI, and AI model deployment workflows (monitoring, debugging, access, quota management).
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Troubleshoot cloud networking issues: routing, VNet/VPC connectivity, NSG/Firewall blocks, DNS failures, cross region communication.
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Manage cloud identity & access problems including Conditional Access failures, IAM misconfigurations, role/permission issues, token/secret issues, and service principal expirations.
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Support deployment and operational stability of monitoring/logging systems: Azure Monitor, GCP Cloud Logging, Splunk, Event Hub integrations.
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Ensure SLA adherence through robust incident management, RCA documentation, problem management, and preventive action planning.
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Collaborate with platform engineering teams on deep technical issues involving Kubernetes, container runtimes, ingress/routing, storage, and multi cloud managed services.
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Build and maintain runbooks, SOPs, support playbooks, alerting frameworks, and automated remediation workflows.
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Onboard new applications into cloud support (network, IAM, monitoring, secrets, service connections, dependencies).
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Partner with Cybersecurity, IAM, AI Governance, Data Platform, and DevOps teams to meet compliance and security requirements.
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Oversee cost alerting, anomaly detection, quota management, and optimization across Azure/AWS/GCP.
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Act as a senior SME ensuring reliability of enterprise cloud, AI platforms, and production environments.
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Contribute to a culture of trust, knowledge sharing, ownership, and continuous improvement.
To be successful in this role, we’re seeking the following:
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Bachelor's degree or equivalent
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10 plus years of experience in Cloud Support, SRE, or Technical Operations roles within enterprise environments.
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Hands-on expertise across Azure (primary), AWS, and GCP—compute, networking, IAM, storage, containers, PaaS.
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Strong experience troubleshooting AKS, container workloads, node pools, ingress, networking, and related components.
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Proficiency in Python for diagnostics, automation, tooling, and API integrations.
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Experience supporting AI/ML platforms:
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Azure OpenAI (quota/throttling/key issues)
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Azure AI Search
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Azure ML model deployment/monitoring
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GCP Vertex AI (endpoint failures, training issues, IAM)
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Experience resolving multi cloud IAM issues (AAD, AWS IAM, GCP IAM).
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Hands-on experience with observability platforms (Azure Monitor, Splunk, GCP Cloud Logging, Prometheus/Grafana).
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Strong knowledge of incident response, RCA documentation, and enterprise support processes.
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Ability to independently diagnose and resolve complex cloud issues.
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Excellent communication and analytical skills; ability to explain technical issues to non technical stakeholders.
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Comfort working in high pressure, global support environments.
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Relevant certifications preferred: AZ 104, AZ 305, AWS Sys Ops, GCP Associate Engineer.
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:
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America’s Most Innovative Companies, Fortune, 2025
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World’s Most Admired Companies, Fortune 2025
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“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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关于BNY Mellon

BNY Mellon
PublicBNY Mellon is a global investment company and one of the world's oldest banks, providing investment management and investment services to institutions, corporations and high-net-worth individuals. The company serves as a custodian for assets and provides treasury services, fund administration and other financial services.
10,001+
员工数
New York City
总部位置
$40B
企业估值
评价
10条评价
3.7
10条评价
工作生活平衡
4.2
薪酬
2.8
企业文化
4.0
职业发展
2.5
管理层
3.2
65%
推荐率
优点
Good work-life balance
Supportive management and culture
Excellent benefits and retirement plans
缺点
Compensation not competitive
Limited career growth opportunities
Management issues and disorganization
薪资范围
28个数据点
L2
L6
L3
L4
L5
L2 · Cybersecurity Analyst L2
0份报告
$77,610
年薪总额
基本工资
$31,044
股票
$38,805
奖金
$7,761
$54,327
$100,893
面试评价
8条评价
难度
3.0
/ 5
时长
21-35周
体验
正面 0%
中性 75%
负面 25%
面试流程
1
Application Review
2
Online Assessment/Technical Screen
3
HR/Recruiter Screen
4
Technical Interview
5
Behavioral Interview
6
Final Round/Superday
常见问题
Technical Knowledge
Coding/Algorithm
Behavioral/STAR
Past Experience
Culture Fit
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