About the role
About Workato
Workato is the leading Control and Execution Platform for Enterprise AI - the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 - including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors - Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com.
Why join us?
Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But, we also believe in balancing productivity with self-care. That's why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why
Business Insider named us an "enterprise startup to bet your career on"
Forbes' Cloud 100 recognized us as one of the top 100 private cloud companies in the world
Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
Quartz ranked us the #1 best company for remote workers
Responsibilities
As our PostgreSQL DBA, you will be the go-to engineer for everything data-layer: index and schema design on multi-terabyte tables, query optimization for application teams, connection pooling, upgrades, and migrations. Our PostgreSQL runs on Amazon Aurora - operating a large, fast-growing fleet consistently: turning one-off procedures into reliable automation, keeping dozens of clusters healthy at once, and helping developers use the database well. You'll split your time between a support rotation for incoming developer requests and longer-cycle reliability and automation projects.
In this role, you will also be responsible to
Own day-to-day PostgreSQL operations across all production data centers: index creation on large/partitioned tables, query-plan analysis, schema reviews, data migrations.
Partner with application teams on data-model decisions - design, partitioning, retention, consolidation vs. standalone clusters - and push back with data when a design won't scale.
Operate and tune Aurora PostgreSQL: parameter groups, replicas, failover behavior, capacity planning.
Run and evolve our PgBouncer connection-pooling layer.
Turn manual runbooks into released, repeatable automation: seamless upgrade, switchover, database/user provisioning, grants management (Terraform + Ansible).
Drive incident response and RCAs for database-related issues, and land the follow-up actions.
Maintain and improve database observability (postgres_exporter, VictoriaMetrics dashboards and alerts).
Take part in the team's duty rotation handling developer requests, with protected focus time off-duty.
Requirements
Qualifications / Experience / Technical Skills
5+ years of hands-on operational PostgreSQL experience (DBA / database reliability role).
Strong command of query plans, indexing strategy, and performance work on multi-TB tables.
Production experience with managed PostgreSQL (Aurora or RDS) and a clear-eyed view of its constraints.
Working proficiency with Terraform and Infrastructure-as-Code practices; comfortable in Linux.
Experience with connection pooling (PgBouncer or similar) in production.
Practical experience with logical replication, major-version upgrades, and low-downtime migration techniques.
Scripting ability (Bash, Python or GO) and an automation-first mindset.
Experience with cloud infrastructure (AWS preferred); strong incident-management and RCA skills.
Nice to Haves
Operational exposure to ClickHouse, OpenSearch, or Redis/Valkey, Neo4j.
Kubernetes fundamentals (our poolers, proxies, and exporters run on EKS).
Experience with Vault, ArgoCD, or GitOps workflows.
Comfort using AI coding assistants to accelerate routine analysis and tooling.
Tech Stack
AWS • Aurora PostgreSQL • Kubernetes • PgBouncer • Terraform • Ansible • VictoriaMetrics • Vault • Linux