Database Reliability Engineer - PostgreSQL, pgvector

Database Reliability Engineer - PostgreSQL, pgvector

Position Overview

We are looking for a Database Platform Reliability Engineer (DBRE) with deep operational expertise in AWS-managed data services to own the reliability, performance, security, and scalability of our growing polyglot data estate.

In this role, you will manage a diverse database environment—spanning PostgreSQL (RDS/Aurora), search engines (OpenSearch/Elasticsearch), and graph systems (Neo4j)—while partnering directly with application and AI/ML teams on database design and platform selection. If you are passionate about database reliability engineering, automation, and expanding into AI-adjacent patterns like vector search (pgvector) and RAG architecture, this role offers room to scale both technically and strategically.

 

Responsibilities

• Fleet Reliability & HA/DR: Manage high availability, Point-in-Time Recovery (PITR), disaster recovery, and zero-downtime upgrades across RDS/Aurora PostgreSQL, OpenSearch, and Neo4j.
• Performance & Capacity: Lead query tuning, index optimization, sharding strategies, parameter configuration, and proactive capacity planning.
• Automation & IaC: Provision and manage data platforms using Terraform, Ansible, and Docker/Kubernetes integrated into CI/CD pipelines.
• Observability & Incident Response: Build monitoring, logging, and alerting via Prometheus, Grafana, and CloudWatch; participate in an on-call rotation for advanced troubleshooting.
• Data Architecture & AI Enablement: Advise development teams on schema design and database selection; implement and optimize vector search capabilities (pgvector, OpenSearch vector engine) for AI/ML workloads.
• Security & Compliance: Enforce network isolation (VPC), encryption at rest/transit (KMS), and fine-grained access management (IAM).

 

Key Qualifications

• Database Experience: 4 to 7 years administering production PostgreSQL on AWS (RDS/Aurora), alongside hands-on operational experience with OpenSearch/Elasticsearch or Neo4j.
• DBRE Fundamentals: Deep knowledge of backup strategies, failover mechanics, performance tuning, and cross-platform data modelling.
• DevOps Tooling: Proficient with Terraform, Docker/Kubernetes, CI/CD tools, and scripting (Python / Bash).
• Bonus Skills: Hands-on experience with vector search, Redis/ElastiCache, DynamoDB, or LLM/RAG application architectures.
• Certifications (Preferred): AWS Certified Database – Specialty, CKA, or platform-specific certifications (PostgreSQL, OpenSearch, Neo4j).
  
  

About Adobe

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Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours. 

Let’s Adobe together

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At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.

 

Experience Level

Senior Level