Staff Database Reliability Engineer (DBRE)

Huntress

8h•$170,000 - $195,000•Remote

About The Position

Huntress is a fully remote, global team of passionate experts and ethical badasses on a mission to break down the barriers to cybersecurity. Whether creating purpose-built security solutions, hunting down hackers, or impacting our community, our people go above and beyond to change the security game and make a real difference. Founded in 2015 by former NSA cyber operators, Huntress protects all businesses—not just the 1%—with enterprise-grade, fully owned, and managed cybersecurity products at the price of an affordable SaaS application. The Huntress difference is our One Team advantage: our technology is designed with our industry-defining Security Operations Center (SOC) in mind and is never separated from our service. We protect 4M+ endpoints and 7M+ identities worldwide, elevating underresourced IT teams with protection that works as hard as they do. As long as hackers keep hacking, Huntress keeps hunting. Huntress is growing our SRE Engineering team and is looking for an experienced engineer who is passionate about stability, resilience, and scalability. You’ll be joining a high-performing team responsible for proactively building, monitoring, and implementing the databases that are a core part of the Huntress Security Platform and supporting our millions of installed endpoint agents.

Requirements

5+ years experience with scaling, configuration, maintenance and management of PostgreSQL clusters in production environments
Expertise in designing, implementing, and supporting replication (e.g., streaming replication, logical replication), failover mechanisms, and robust backup/recovery strategies
Deep understanding of PostgreSQL's core architecture, including the WAL, transaction management, locking mechanisms, and the role of background processes like autovacuum
Extensive hands-on experience managing and maintaining large-scale (Terabyte-level or high-transaction volume) PostgreSQL databases in a live, 24/7 production environment
Experience with observability tools like DataDog, NewRelic, etc. (any tooling is fine)
Deep experience of tuning critical performance parameters

Nice To Haves

Understanding of NoSQL data models (e.g., document schemas for MongoDB, key-value structures for Redis, or column families for Cassandra) to optimize for specific access patterns
Understanding of when to use an RDB and when not to
Experience with IaC (infrastructure as code)

Responsibilities

Continuously review and fine-tune critical PostgreSQL configuration parameters (e.g., shared_buffers, work_mem, autovacuum settings) to maximize resource utilization and match the current workload profile
Forecast future resource needs based on application growth and agent usage trends, and propose scaling solutions
Design, implement, and manage comprehensive monitoring dashboards and alerting systems to track key performance indicators (KPIs) like latency, throughput, connection count, and cache hit ratio
Design, implement, and maintain optimal indexing strategies to support application requirements, and systematically identify and remove redundant or underutilized indexes that degrade write performance
Implement and manage advanced scaling techniques such as database partitioning for large tables and, where necessary, coordinate efforts for database sharding
Partner with SRE team to optimize PostgreSQL deployments in Azure, ensuring efficient use of cloud-specific storage and networking
Provide technical guidance to application teams on their query/schema/index designs