Database Reliability Engineer

. Drive database reliability across PostgreSQL, MySQL, MongoDB, Redis, ScyllaDB, Aerospike, and managed cloud services .

Posted 9/25/2026full-timeRemote • Massachusetts • United StatesJuniorMid-Level💰 $112,000 - $140,000 per yearWebsite

Tools & technologies

CloudKubernetesMongoDBMySQLPostgresPythonRedisTerraformGo

Key responsibilities & impact

Drive database reliability across PostgreSQL, MySQL, MongoDB, Redis, ScyllaDB, Aerospike, and managed cloud services
Support high availability, replication, partitioning, storage, and connection management
Build and enhance automation-first database platforms
Develop Kubernetes operators, infrastructure as code, GitOps workflows, and production-quality tooling in Go or Python
Automate provisioning, failover, backups, schema migrations, and lifecycle management
Build self-healing, fault-tolerant infrastructure and internal tooling
Reduce operational toil and simplify day-to-day database operations
Optimize database performance and cost across cloud and on-premises environments
Support capacity planning, resource efficiency, storage optimization, workload consolidation, and performance tuning for large-scale systems
Partner with application engineering teams on schema reviews, migration strategies, query optimization, connection management, and zero-downtime deployments
Leverage AI for observability, anomaly detection, root cause analysis, documentation, predictive insights, and evaluation of AI-generated code

What you’ll need

At least 2 years of experience in Database Reliability Engineering, Database Platform Engineering, Site Reliability Engineering, or a related infrastructure engineering role with a strong database focus
Experience supporting at least one major relational database, preferably Aurora MySQL
Operational experience with PostgreSQL, MongoDB, ScyllaDB, Aurora, or other managed cloud database services
Experience building and operating stateful workloads on Kubernetes
Experience with StatefulSets, Persistent Volumes, database operators, Terraform, Pulumi, FluxCD, ArgoCD, GKE, or EKS
Hands-on software development experience using Go or Python
Experience building automation, platform tooling, Kubernetes controllers, APIs, and infrastructure
Experience improving reliability through observability, monitoring, service-level objectives, capacity planning, performance optimization, and self-service engineering solutions
Practical experience using AI tools such as Claude, GitHub Copilot, Cursor, MCP, or similar technologies
Sound engineering judgment to validate AI-generated outputs
May be required to obtain a gaming license issued by the appropriate state agency as a condition of employment

Comp & perks