Staff Database Reliability Engineer (DBRE)
Quick Summary
Huntress is growing our SRE Engineering team and is looking for an experienced engineer who is passionate about stability, resilience, and scalability.
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 16M 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.
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 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 We Offer
~1 min readResponsibilities
~1 min readHuntress 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.
- →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.
- 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
If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com. Please note that non-accommodation requests to this inbox will not receive a response.
If you have questions about your personal data privacy at Huntress, please visit our privacy page.
Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are.
We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status.
We do discriminate against hackers who try to exploit businesses of all sizes.
Location & Eligibility
About this job
- Pay per year
- $215,000–$245,000 a year
- 77% above the $129,750 median for Reliability Engineer jobs on Jobera (206 salaries).
- Who can apply
- United States
- Posted
- Today
Listing Details
- Posted
- October 29, 2026
- First seen
- October 29, 2026
- Last seen
- October 29, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 87%
- Scored at
- October 29, 2026
Signal breakdown
Protect your endpoints, identities, and employees.
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