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2 Sep 2024

Full-Time Production Services Operations (Kafka)

BNY – Posted by BNY Pittsburgh, Pennsylvania, United States

Job Description

Production Services Support (Kafka Admin)

At BNY, our culture empowers you to grow and succeed. As a leading global financial services company at the center of the world’s financial system we touch nearly 20% of the world’s investible assets. Every day around the globe, our 50,000+ employees bring the power of their perspective to the table to create solutions with our clients that benefit businesses, communities and people everywhere.

We continue to be a leader in the industry, awarded as a top home for innovators and for creating an inclusive workplace. Through our unique ideas and talents, together we help make money work for the world. This is what #LifeAtBNY is all about.

We’re seeking a future team member for the role of Production Services Support to join our Technology Services Group team. This role is located in Pittsburgh, PA United States – Hybrid (3 days in office and 2 days work from home).

In this role, you’ll make an impact in the following ways: 

  • Confluent Kafka platform setup, maintenance, upgrades.
  • Hands on experience with Kafka Brokers. broker sizing, topic sizing, h/w sizing, performance monitoring, broker security, topic security, consumer/producer access management (ACL).
  • Implementation exp. on access controls and authorization (like SASL, JaaS config, Kerberos, OAuth, Trust KeyStore) mechanisms to protect Kafka Infrastructure
  • Hands on experience with Schema Registry.
  • Hands on experience with KSQL DB and understanding of underlying implementation and functions.
  • Hands on experience with Kafka connectors and understanding of underlying implementation.
  • Proficient understanding of Kafka client Producer and consumer functioning
  • Ability to design and implement technical solutions for the Kafka on prem must. Experience working in Azure cloud.
  • Well versed with Automation and monitoring tools for Kafka (ansible, ansible tower)
  • Proactively monitor and setup alerting mechanism for Kafka Cluster and supporting hardware to ensure system health and maximum availability.
  • The resources will be working as 24/7 support for the Kafka service. They will be handling support questions, resolving production issues, And RCA analysis, maintenance upgrades to Kafka clusters and developing automation as needed.

To be successful in this role, we’re seeking the following: 

  • Under graduation or master’s degree
  • 8+ years of overall experience, 4+ years of Kafka.
  • Kafka API support experience 2+ years
  • Kafka Streams, Kafka Connect, Schema Registry
  • Confluent Rest Proxy, Ksql-DB.
  • Kafka in public cloud (Azure)
  • Splunk logging
  • Java (Kafka JMS based experience min 2y required)

At BNY, our culture speaks for itself. Here’s a few of our awards: 

  • America’s Most Innovative Companies, Fortune, 2024
  • World’s Most Admired Companies, Fortune 2024
  • Human Rights Campaign Foundation, Corporate Equality Index, 100% score, 2023-2024
  • Best Places to Work for Disability Inclusion, Disability: IN – 100% score, 2023-2024
  • “Most Just Companies”, Just Capital and CNBC, 2024
  • Dow Jones Sustainability Indices, Top performing company for Sustainability, 2024
  • Bloomberg’s Gender Equality Index (GEI), 2023

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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How to Apply

https://bnymellon.eightfold.ai/careers/job/23383952

Job Types: Full-Time. Salaries: Not Disclosed.

Job expires in 73 days.

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