What We Do

Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact.

Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection.

Huntress now secures more than 6M endpoints and 17M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other.

Title: Staff Database Reliability Engineer

Reports to: Engineering Manager

Location: Remote US

Compensation Range: $215,000 to $245,000 base plus bonus and equity

What We Do

Huntress now secures more than 5M endpoints and 11M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other.

What You’ll Do

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.

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.

What You Bring To The Team

5+ years experience with scaling, configuration, maintenance and management of PostgreSQL clusters in production environments.