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Software Engineer - Storage Infrastructure (Senior+)

Cogent Security cogent.security Open · verified Oct 24, 2026
Hybrid San Francisco New York Full-time Senior Software Engineering

At a glance

Senior Software Engineering role at Cogent Security. San Francisco · full-time · $100,000–$300,000 base.

SalaryStated by Cogent Security
$100,000 – $300,000
Base salary for this role, in USD per year, as published in the posting.
This role, from Cogent SecurityOur estimate for the market: $195,575–$250,000Median $220,500
Worked out from 214 postings that stated pay, median $220,500. Last updated Oct 24, 2026.
RoleSoftware Engineering
SenioritySenior
LocationSan Francisco
WorkplaceHybrid
EmploymentFull-time
Base pay$100,000–$300,000
PostedSep 14, 2026 · 5w ago
Also hiring inNew York
Role brief

techroles summary, based on the employer's posting.

What you'll do

  • Set shared backup, recovery, retention and encryption rules for Aurora/RDS, ClickHouse and MSK
  • Build dashboards that track storage capacity, speed, replication, lag and cost
  • Create an operations agent to help triage incidents, investigate slow queries and carry out fixes

What you bring

  • Deep hands-on experience with Aurora RDS, ClickHouse, Kafka or AWS MSK, and Postgres
  • You can code in Python and Golang and build infrastructure with Terraform
  • Three to six years at a successful technology company, at Senior level or above
  • Experience with Iceberg and lakehouse patterns

Who this fits

This hands-on senior role suits an engineer with substantial data infrastructure experience who wants to own storage operations and build agent-assisted workflows. The role is hybrid in San Francisco.

From the employer

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.

Opportunity

Software Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Software Engineering$100k+

Find me work

By the team behind techroles.

Find me work
Opportunity

Software Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind techroles.