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Staff Database Reliability Engineer (DBRE)

Join Huntress as a Staff Database Reliability Engineer to enhance the stability and scalability of our security platform.

Location
United States of America
Compensation
$215k–$245k/yr
Level
staff
Type
full time · Remote

Posted by employer 5 days ago

First seen on Joblaze 3 days ago

Last verified on the company career page 1 day ago

Apply at Huntress → Save job Scanned from huntress.com

Skills & Technologies

PostgreSQL Flexible on stack

What you'll build

  • Review and fine-tune PostgreSQL configuration parameters
  • Forecast future resource needs and propose scaling solutions
  • Design and manage monitoring dashboards and alerting systems
  • Implement and maintain optimal indexing strategies
  • Partner with SRE team to optimize PostgreSQL deployments in Azure

Must have

  • 5+ years experience with PostgreSQL clusters
  • Expertise in replication and failover mechanisms
  • Deep understanding of PostgreSQL's core architecture
  • Experience managing large-scale PostgreSQL databases

Nice to have

  • Understanding of NoSQL data models
  • Experience with IaC (infrastructure as code)

AI in the day-to-day

Huntress uses AI tools to assist in reviewing and evaluating job applications, including resume screening and skills assessment.

Requirements

Experience
5+ years

Not disclosed in this posting: visa sponsorship.

Benefits

401k Match Education Budget Equity/Stock Options Remote Work Health Insurance Parental Leave

Joblaze summary

In the role of Staff Database Reliability Engineer at Huntress, the engineer focuses on enhancing the stability and performance of PostgreSQL databases that support the company's security platform. Key skills include extensive experience with PostgreSQL management, performance tuning, and cloud deployment, particularly in Azure environments. This position is ideal for seasoned professionals with a strong background in database reliability and a passion for cybersecurity. Huntress operates as a remote-first team, emphasizing collaboration and continuous improvement in a rapidly evolving field.

Joblaze insights

  • Listed 3 days ago — first seen on Joblaze October 31, 2026. Last confirmed on Huntress's careers page November 2, 2026.
  • Salary band is above the typical range for DevOps/SRE roles (median ~$165,000).
  • Starts above 65% of 57 comparable staff devops/sre roles in United States we track (median $199,750 across 31 companies).
  • PostgreSQL appears in 11.8% of 76 comparable staff devops/sre roles in United States.

Quick facts

Is the Staff Database Reliability Engineer (DBRE) role remote?
Yes — Huntress lists this as a fully remote position.
What's the salary range?
Huntress lists $215,000–$245,000 for this role.
How much experience is required?
At least 5 years of relevant experience for this Staff Database Reliability Engineer (DBRE) role.
What's the tech stack?
Joblaze extracted these technologies from the posting: PostgreSQL.
What seniority level is this role?
Huntress targets staff-level candidates for this position.
Is this full-time or contract?
Full-time for this Staff Database Reliability Engineer (DBRE) role at Huntress.

From the original posting

Title: Staff Database Reliability Engineer

Reports to: Engineering Manager

Location: Remote US

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

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.
  • 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

Bonus points if you have:

  • 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)

We do discriminate against hackers who try to exploit small businesses.

If you have questions about your personal data privacy at Huntress, please visit our privacy page.

#BI-Remote

#BI-Remote

Standard company text repeated across Huntress's postings is omitted here.

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