Software Engineer - Storage Infrastructure (Senior+)

Cogent Inc
San Francisco, CA, United States
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
1 year minimum
Compensation
$100,000.0 - $300,000.0
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Amazon S3 Data Stores Python (Programming Language) PostgreSQL Data Streaming Parquet Snowflake Amazon Relational Database Service Google Bigquery Apache Kafka Presto
+4 more
Vertica Terraform Databricks Golang

Job description

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., * 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

Requirements

  • 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+), * 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

About the company

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 ā€œAI Taskforceā€ 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

Apply for this position

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:08 min

Building solutions with open source GoLang infrastructure tools

Jad Wahab Ā· LIVE

2:50 min

How Parquet metadata enables efficient data reading

Matthias Niehoff Matthias Niehoff Ā· World Congress 2026 Europe

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Hiring passionate software engineers to tackle unprecedented scaling challenges

Dana Lawson Dana Lawson +1 Ā· World Congress 2026 Europe

6:16 min

Event-driven Golang backend architecture and cloud deployment

Irina Branovic Irina Branovic Ā· World Congress 2026 Europe

2:14 min

Solving complex platform architecture challenges at an enterprise scale

Maria Apazoglou Ā· Coffee With Developers

2:03 min

Introduction to open table formats built on Parquet

Matthias Niehoff Matthias Niehoff Ā· World Congress 2026 Europe

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