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Database Reliability Engineer IV

PagerDuty
Full Timestaff
AtlantaPosted February 2, 2026

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PythonRubyAWSKubernetesTerraformAnsibleJenkinsCircleCIApachePostgreSQLMySQLDynamoDBCassandraKafka

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Job Description

PagerDuty, Inc. (NYSE:PD) is a global leader in digital operations management. Trusted by nearly half of both the Fortune 500 and the Forbes AI 50, as well as approximately two-thirds of the Fortune 100, PagerDuty is essential for delivering always-on digital experiences to modern businesses.

Join us. At PagerDuty, you'll tackle complex problems, collaborate with kind and ambitious people, and help build a more equitable world—all in a flexible, award-winning workplace.

PagerDuty is seeking a proficient Senior Database Reliability Engineer (DBRE) IV to enhance our dynamic, customer-centric team! In this role as a DBRE, you will develop standards and practices for our back-end data storage, and data streaming systems. You will also build tools to enable engineers to easily interact with and optimize their database systems. This role offers a thrilling opportunity to contribute to scaling the PagerDuty Platform. The perfect candidate will come with coding/scripting abilities, Kafka expertise, experience with AWS, and a solid background in Site Reliability Engineering or DBRE in high-scale environments. If you have a track record of solving complex problems with automation and a keen interest in making database systems more approachable to others, then you’re the ideal candidate.

Key Responsibilities

  • You partner with Engineering stakeholders to design and deliver reliable, scalable, secure, and performant data platforms.
  • You continuously strive to improve the customer experience: Full lifecycle support (creation, development, deployment, retirement), observability, flexible connectivity, and monitoring.
  • You stay current on technology trends in order to deliver innovative tools and approaches to interesting problems.
  • You share your expertise with the entire Engineering organization
  • You participate in a 24/7 on-call rotation. And yes, we use PagerDuty to manage our on-call schedules.

Basic Qualifications 

  • 5+ years of experience in SRE, DBRE, or Software Development. 
  • 3+ years experience with database management systems such as MySQL, PostgreSQL, DynamoDB, Cassandra, etc.
  • Experience in one or more of the following languages like Ruby, Python, or Golang.
  • Experience working on cloud-native infrastructure in AWS.
  • Experience working with a container scheduler platform, preferably Kubernetes.

Preferred Qualifications

  • Experience with infrastructure as code (Terraform) for managing database & cloud resources.
  • Experience with data streaming solutions such as Kafka, AWS Kinesis, etc.
  • Knowledge of various Kafka-related tools and frameworks, such as Apache ZooKeeper, Kafka Connect, Kafka Streams, or KSQL, can help with integrating Kafka-based solutions with external systems, data sources, and data destinations.
  • Experience with monitoring, observability and logging platforms for databases (e.g. DataDog, New Relic, Grafana Logs, etc.).
  • Knowledge of configuration management systems like Ansible, Chef, or Puppet for database infrastructure management.
  • Experience in automating database releases, continuous integration/delivery systems, and relevant tools (e.g., Jenkins, CircleCI, Travis CI, Buildkite, etc.) with a focus on database performance and reliability.

PagerDuty is a flexible, hybrid workplace. We embrace and encourage in-person working as an integral part of our culture. Both our employees and external research tells us that co-located collaboration strengthens connections, drives innovation, and accelerates learning.

This role is expected to come into our Atlanta office 2 days per week, so you can thrive in your new role and fully embrace being a Dutonian!

The base salary range for this position is 150,000 - 252,000 USD. This role may also be eligible for bonus, commission, equity, and/or benefits.

Our base salary ranges are determined by role, level, and location. The range, which is subject to change based on primary work location, reflects the minimum and maximum base salary we expect to pay newly hired employees for the position. Within the range, we determine pay for an individual based on a number of factors including ma

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