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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Database Reliability Engineer - **Company:** Adobe Systems - **Location:** San Jose, CA, United States - **Experience:** Expert - **Salary:** $177,900.0 - $257,550.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Microsoft Azure, Software Quality, Databases, Data Architecture, Linux, Distributed Systems, Amazon DynamoDB, Fault Tolerance, Python (Programming Language), PostgreSQL, MariaDB, SQL Azure, MongoDB, MySQL, Networking Basics, Query Optimization, Reliability Engineering, Ansible, Data Logging, Scripting, Cloud Platform System, Database Performance, Infrastructure as Code (IaC), Adobe, Amazon Relational Database Service, Kubernetes, Information Technology, Cassandra, Data Analytics, Cosmos DB, Terraform, Docker - **Published:** August 3, 2026 - **Apply:** https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Sr-Database-Reliability-Engineer_R170522 ## About the Role * Bachelor's degree in computer science or a related technical field, or equivalent experience. * 7+ years operating highly available, critical database platforms at scale. * Strong hands-on experience with two or more of: MongoDB, Cassandra, MySQL, PostgreSQL, Percona XtraDB Cluster, or MariaDB Galera Cluster. * Experience operating database platforms on AWS and/or Azure. * Hands-on experience with managed database services such as Amazon RDS, Keyspaces, DynamoDB, Azure SQL, Cosmos DB, and MongoDB Atlas. * Proven experience leading database modernization and migration initiatives. * Demonstrated ability to effectively employ AI-assisted development tools while maintaining high standards for code quality, security, reliability, and operational excellence. * Strong experience with Infrastructure as Code (IaC) and automation tools such as Terraform, Chef, or Ansible. * Deep understanding of distributed systems, including scaling, replication, consistency models, fault tolerance, and multi-region deployments. * Expertise in database performance engineering, capacity planning, query tuning, index optimization, and storage performance. * Strong data modeling, schema design, and data architecture skills. * Experience with containerized and cloud-native platforms, including Kubernetes and Docker. * Strong Linux systems and networking fundamentals. * Proficiency in Python or similar scripting languages for automation and operational tooling. About Adobe ## Description Adobe's Database Reliability Engineering (DBRE) team enables product teams to build and operate services at scale through reliable, secure, and highly automated database platforms. We combine platform engineering, automation, and outstanding operational performance to reduce complexity and accelerate developer efficiency. We are seeking an experienced DBRE to help define the future of Adobe's data platform ecosystem. What you'll Do * Own the reliability, scalability, and performance of Adobe's database platforms, enabling highly available and resilient services on a global scale. * Drive the evolution of database architecture and platform strategy through collaboration with engineering teams, cloud providers, and database technology partners. * Build self-service and automated platform capabilities that simplify the deployment, provisioning, and operation of database infrastructure. * Establish best-in-class observability through monitoring, tracing, logging, and actionable insights that improve service reliability and outstanding operational performance. * Serve as a technical leader during production events, driving rapid mitigation, deep root cause analysis, and long-term resiliency improvements through automation and self-healing systems. * Provide operational stewardship for business-critical database services through participation in a cross-regional follow-the-sun support model. ## Related Videos - [Database Magic behind 40 Million operations/s](https://www.wearedevelopers.com/videos/748-database-magic-behind-40-million-operations-s) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [3x Performance: A Humbling Journey](https://www.wearedevelopers.com/videos/100165-3x-performance-a-humbling-journey) - [MySQL Protocol Features You Should Be Aware Of](https://www.wearedevelopers.com/videos/100267-mysql-protocol-features-you-should-be-aware-of) - [Docker exec without Docker](https://www.wearedevelopers.com/videos/1094-docker-exec-without-docker) - [NoCode LiveCode: Leveraging AI Tools to Craft Fully Functional Apps!](https://www.wearedevelopers.com/videos/1169-nocode-livecode-leveraging-ai-tools-to-craft-fully-functional-apps) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)