Software Engineer

Dataplane

Posted on 9/15/2023

INACTIVE

1-10 employees

Cloud-based enterprise data security solutions provider

Company Overview

Normalyze is a forward-thinking company that addresses critical challenges in enterprise IT security, particularly in cloud and data security. The company's culture is built on a foundation of focus, commitment, honesty, and excellence, fostering a remote work environment that values self-drive and efficiency. With a robust product offering that enables companies to effectively scan, catalog, and classify data, Normalyze is poised to make a significant impact in protecting enterprise data, backed by competitive compensation, stock options, and comprehensive health benefits.

Data & Analytics

B2B

Company Stage

Series A

Total Funding

$26.6M

Founded

2020

Headquarters

Los Altos Hills, California

Growth & Insights

Headcount

6 month growth

↓ -88%

1 year growth

↓ -82%

2 year growth

↑ 150%

Locations

Remote in USA

Experience Level

Entry

Junior

Mid

Senior

Expert

Desired Skills

AWS

BigQuery

Docker

Google Cloud Platform

JavaScript

Microsoft Azure

Redshift

Snowflake

SQL

Kubernetes

Python

CategoriesNew

DevOps & Infrastructure

Software Engineering

Requirements

3+ years of experience in the field of software development for enterprise products
2+ years of experience in building large scale applications and services in AWS, GCP, and Azure (at least 2)
3+ years Python/JavaScript development experience (or any other languages)
3+ years of experience in modern containerization (& cloud) technologies like Docker and Kubernetes
Strong experience in working with micro-service architecture & cloud-native services
Working experience with on-prem and cloud native datastores such as relational based ones (e.g., AWS RDS, Redshift, GCP BigQuery, Azure SQL, etc) and other non-relational ones in AWS, GCP, and Azure
Strong software design, complexity analysis, development and debugging skills, and able to write full testing cases to cover developed features
Good knowledge of data security and privacy
Bachelor's degree in CS/EECS or similar, Master or Ph.D degree in CS preferred
An intuitive understanding of ROI for your tasks
End-to-end ownership
Strong ability to work independently and meet goals/ deadlines with minimal direction/ guidance
Being extremely curious and hungry to make an impact
Learning quickly, enjoy and taking pride in both identifying and solving problems
Cautious confidence in building a product for tech savvy users
Moving fast without compromising quality and future ability to scale
Keeping things simple

Responsibilities

At Normalyze, we're changing the way security and DevSecOps teams view their cloud deployments. Our mission is to help enterprises protect all the data they run in the cloud
Through its agent-less assessments, data discovery, AI-driven risk prioritization, and comprehensive and actionable remediation insights, Normalyze helps enterprises understand the full range of risks present against their cloud data
Normalyze is a cybersecurity startup focussed on a data-first approach to cloud security. Founded by security veterans from Netskope (pre-IPO, $7.5B), Palo Alto Networks (PANW: $60B) and Qualys (QLYS: $5B), and backed by Tier-1 VC's, including Lightspeed and Battery Ventures. The company headquarters are in the US (Silicon Valley) but operates fully remote with a global team

Desired Qualifications

Experience with big data lake or data warehouse (e.g., Databricks, Snowflake) is a plus

About this role

As a Software Engineer in the Dataplane team at Normalyze, you will have an opportunity to build the next generation of cloud and data security solutions. You’ll develop dataplane features to enable the discovery and detection from various cloud infrastructures, writing production ready, testable, and resilient code that can scale efficiently. If you want to be at the forefront of cloud security, and like to work with an excellent engineering team to learn and grow your career, this may be THE opportunity you are looking for.

About Normalyze

At Normalyze, we’re changing the way security and DevSecOps teams view their cloud deployments. Our mission is to help enterprises protect all the data they run in the cloud.

Through its agent-less assessments, data discovery, AI-driven risk prioritization, and comprehensive and actionable remediation insights, Normalyze helps enterprises understand the full range of risks present against their cloud data.

Normalyze is a cybersecurity startup focussed on a data-first approach to cloud security. Founded by security veterans from Netskope (pre-IPO, $7.5B), Palo Alto Networks (PANW: $60B) and Qualys (QLYS: $5B), and backed by Tier-1 VC’s, including Lightspeed and Battery Ventures. The company headquarters are in the US (Silicon Valley) but operates fully remote with a global team.

Requirements

3+ years of experience in the field of software development for enterprise products.

2+ years of experience in building large scale applications and services in AWS, GCP, and Azure (at least 2)

3+ years Python/JavaScript development experience (or any other languages)

3+ years of experience in modern containerization (& cloud) technologies like Docker and Kubernetes

Strong experience in working with micro-service architecture & cloud-native services

Working experience with on-prem and cloud native datastores such as relational based ones (e.g., AWS RDS, Redshift, GCP BigQuery, Azure SQL, etc) and other non-relational ones in AWS, GCP, and Azure

Experience with big data lake or data warehouse (e.g., Databricks, Snowflake) is a plus

Strong software design, complexity analysis, development and debugging skills, and able to write full testing cases to cover developed features

Good knowledge of data security and privacy

Bachelor’s degree in CS/EECS or similar, Master or Ph.D degree in CS preferred.

Requirements

3+ years of experience in the field of software development for enterprise products.
2+ years of experience in building large scale applications and services in AWS, GCP, and Azure (at least 2)
3+ years Python/JavaScript development experience (or any other languages)
3+ years of experience in modern containerization (& cloud) technologies like Docker and Kubernetes
Strong experience in working with micro-service architecture & cloud-native services
Working experience with on-prem and cloud native datastores such as relational based ones (e.g., AWS RDS, Redshift, GCP BigQuery, Azure SQL, etc) and other non-relational ones in AWS, GCP, and Azure
Experience with big data lake or data warehouse (e.g., Databricks, Snowflake) is a plus
Strong software design, complexity analysis, development and debugging skills, and able to write full testing cases to cover developed features
Good knowledge of data security and privacy
Bachelor’s degree in CS/EECS or similar, Master or Ph.D degree in CS preferred.

Our culture encourages and respects people who are hands-on, honest, focused and committed. For this role, it entails A deep understanding of whatever you are working on

* An intuitive understanding of ROI for your tasks

* End-to-end ownership

* Strong ability to work independently and meet goals/ deadlines with minimal direction/ guidance

* Being extremely curious and hungry to make an impact

* Learning quickly, enjoy and taking pride in both identifying and solving problems

* Cautious confidence in building a product for tech savvy users

* Moving fast without compromising quality and future ability to scale

* Keeping things simple