What's the salary range?

Cogent Security lists $100,000–$300,000 for this role.

How much experience is required?

3–6 years of relevant experience for this Software Engineer - Storage Infrastructure (Senior+) role.

What's the tech stack?

Joblaze extracted these technologies from the posting: AWS MSK, Aurora, ClickHouse, Golang, Kafka, PostgreSQL.

What seniority level is this role?

Cogent Security targets senior candidates for this position.

Is this full-time or contract?

Full-time for this Software Engineer - Storage Infrastructure (Senior+) role at Cogent Security.

Joblaze summary

In this role, the Senior Storage Infrastructure Engineer at Cogent Security is responsible for managing and optimizing data storage solutions, focusing on backup, observability, and operational efficiency across various data stores. The position requires extensive experience with technologies like Aurora, Clickhouse, and Kafka, along with strong coding skills in Python and Golang. Ideal candidates will have a background in data infrastructure, particularly from tech startups, and a solid understanding of infrastructure-as-code practices. Cogent's team is composed of top talent from prestigious universities and leading tech companies, fostering a collaborative environment aimed at advancing A

Joblaze insights

Listed 9 days ago on Joblaze — tracked directly from Cogent Security's career page.
Cogent Security has 30 other open roles including Performance Marketing Lead, Accounting Manager, Senior Analyst, Strategic Finance.
6517 active Python roles on Joblaze right now.
1357 active PostgreSQL roles on Joblaze right now.
1134 active Terraform roles on Joblaze right now.
Salary band is below the typical range for Data Engineering roles (median ~$180,656).
Pays more than 8% of the 3224 salaried Python roles we track (median $160,000). See Python salary trends

Quick facts

What's the salary range?: Cogent Security lists $100,000–$300,000 for this role.
How much experience is required?: 3–6 years of relevant experience for this Software Engineer - Storage Infrastructure (Senior+) role.
What's the tech stack?: Joblaze extracted these technologies from the posting: AWS MSK, Aurora, ClickHouse, Golang, Kafka, PostgreSQL.
What seniority level is this role?: Cogent Security targets senior candidates for this position.
Is this full-time or contract?: Full-time for this Software Engineer - Storage Infrastructure (Senior+) role at Cogent Security.

From the original posting

About Cogent

Cogent is an Applied AI Lab building the next generation of AI agents for cybersecurity. AI has fundamentally changed how attacks happen, allowing malicious actors to operate at unprecedented speed and scale. Cogent's "AI Taskforce" assesses petabytes of enterprise data to remediate these issues before critical breaches occur.

To stay at the cutting edge, we blend frontier research with real-world execution. Alongside our core product work, Cogent Research serves as our applied AI lab, providing the research horsepower needed to make truly agentic security workflows a reality. We partner with Fortune 500 companies to secure some of the most complex production environments in the world.

We're backed by Greylock & Bain Capital Ventures, and we've built a team with the best minds in applied AI. Our team is comprised of people from:

Top universities like Stanford, Berkeley, Penn, Duke, Carnegie Mellon, Waterloo
Unicorn, high-growth companies like Scale AI, Databricks, Stripe, Tesla, Coinbase
World class cybersecurity experts from Wiz, Abnormal AI, Zscaler
Preeminent research labs like Deepmind and SAIL

About the Role

We're hiring a Senior Storage Infrastructure Engineer on our Core Platform team to own how we store, protect, and operate data at scale. You'll build the backup, observability, and operations layer across our relational, streaming, and analytical stores - and make it agent-forward.

This is a hands-on role for an engineer with deep data infrastructure experience, ideally sharpened at a data-focused startup.

What You'll Do

Standardize backup, restore, retention, and encryption policies across Aurora / RDS, Clickhouse, and MSK
Build storage observability dashboards for capacity, performance, replication, lag, and cost
Create a Storage Operations Agent for incident triage, slow-query investigation, and remediation workflows

What We're Looking For

Deep experience with data stores: Aurora RDS, Clickhouse, Kafka / AWS MSK, and Postgres
Experience with table formats and lakehouse patterns, including Iceberg
Strong coding in Python and Golang
Infrastructure-as-code skills with Terraform
3-6 years at a successful tech company (Senior, Staff+)

Bonus Points

1-2 years at a data-focused startup (Databricks, Snowflake)
Object and analytical storage experience: S3, GCS, Google BigQuery, AWS Athena, Presto, Parquet
Vector and graph stores: VectorDB, Turbopuffer, Puppygraph
A secondary spike in Observability Infrastructure

For California Based Applicants

The standard base salary range for this position is $100,000 - $300,000 annually. Compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.

We are committed to building an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.