Sr./Principal Eng @ Normalyze

About this role

As an 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. The Lead/Principal/Sr. Engineer plays a pivotal role in our engineering team, responsible for overseeing, designing and delivering the technical aspects of projects end-to-end. 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

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

8+ years of experience in building large scale applications and services in AWS, GCP, and Azure

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

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

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

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

Additional Requirements

Strong problem-solving skills.

Adaptability and ability to work in a fast-paced and environment.

Leadership team-building skills.

Project management and organizational skills.

Attention to detail and commitment to quality.

Ability to mentor and guide junior team members.

6 month growth

1 year growth

2 year growth

Benefits