Senior DevOps Engineer, Kafka Specialist

PayPal

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Hybrid

Quick summary

Work type
Hybrid
Location
San Jose, CAAustin, TX
Employment
Full-time
Posted
55 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $152k
$81k $223k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$177,968.

Based on 240 similar postings.

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About PayPal

PayPal is a leading global digital wallet and online payment system, founded in 1998, that allows individuals and businesses to send, receive, and manage funds securely in over 200 markets.

PayPal currently has 96 open roles on FindRole.

Listed pay typically runs $160,500–$259,158 across 91 roles with salary data.

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At a glance

TL;DR · Senior DevOps Engineer, Kafka Specialist

The Senior DevOps Engineer - Kafka Specialist joins the Venmo Data Infrastructure team to support internal and customer-impacting data movements and message streaming infrastructure. In this role, you will design, implement, and operate data infrastructure initiatives to provide a secure, scalable, and performant platform for Venmo products and analytics. Your daily responsibilities include automating provisioning and monitoring solutions, building reliable data pipeline architectures, and developing tools for actionable insights. You will implement message streaming solutions using AWS SQS and Apache Kafka while managing relational and NoSQL databases. Key technologies include Python, Java, Bash, Terraform, Ansible, and AWS services like S3, DMS, EKS, and Glue. You will collaborate with engineering and product stakeholders to resolve technical issues and support global-scale data infrastructure needs.

What does a DevOps Engineer earn?

Median $130000 from 89 postings across 27 companies.

See salary data

What you'll do

  • Design and operate data infrastructure to provide a secure, scalable, and performant platform for Venmo products.
  • Automate provisioning, management, and monitoring solutions for supported data infrastructure.
  • Build and implement scalable data pipeline architectures to optimize overall system performance.
  • Develop tools that enable users to leverage data into actionable insights for business performance.
  • Build and implement message streaming solutions using technologies like AWS SQS and Apache Kafka.
  • Process, extract, and manage relational and NoSQL databases using SQL query authoring.
  • Create large, complex data sets that meet specific functional and non-functional business requirements.
  • Troubleshoot technical issues and provide data infrastructure support to engineering and analytics teams.

What we're looking for

  • Bachelor's or master's degree in computer science or a related field of study.
  • 3+ years of experience in software development or a related field.
  • 3+ years of experience operating on-prem/cloud databases, data-warehouses, and/or distributed systems 24x7x365.
  • Experience operating and maintaining message streaming solutions like AWS SQS and Apache Kafka.
  • Hands-on experience designing and implementing infrastructure for global-scale services using IaaS and PaaS solutions from AWS.
  • Proficiency in infrastructure as code tools such as AWS CLI, CloudFormation, Terraform, Ansible, and Puppet.
  • Hands-on programming and scripting skills in Lambda, API Gateway, Python, Java, and Bash.
  • Experience with big data operations including AWS S3, AWS DMS, AWS SQS, Luigi, AWS EKS, Apache Spark, and AWS Glue.
  • Strong communication skills to explain technical issues to non-technical audiences.
  • Understanding of TLS/mTLS protocols from the application's perspective (preferred).
  • AWS Solutions Architect certification (preferred).

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