Software Engineer - Engineering Productivity

Verkada
San Mateo, CA

Who We Are



Verkada is the largest cloud-based B2B physical security platform company in the world. Only Verkada offers six product lines — video security cameras, access control, environmental sensors, alarms, workplace and intercoms — integrated with a single cloud-based software platform.

Designed with simplicity and scalability in mind, Verkada gives organizations the real-time insight to know what could impact the safety and comfort of people throughout their physical environment, while empowering them to take immediate action to minimize security risks, workplace frustrations and costly inefficiencies.

Founded in 2016 with more than $460M in funding raised to date, Verkada has expanded rapidly with 16 offices across three continents, 1,900+ full-time employees and 25,000+ customers across 70+ countries.

Overview

We are actively looking for a talented software engineer to join the Infrastructure team with a focus on engineering productivity and …Example projects include improving build time and dependency management in our monorepo, allowing engineers to quickly iterate locally on microservices, building fast and reliable testing framework, or standardizing logging and monitoring systems.

Responsibilities:


  • Make every engineer’s day-to-day productive and enjoyable!

  • Define engineering tooling roadmap

  • Own Kubernetes deployment and development tooling

  • Build various software and hardware testing frameworks

  • Provide technical support for engineers on other teams

  • Help with growing the team

Requirements:


  • Must have a BS, MS, or PhD in Computer Science, or similar technical field of study

  • Minimum of 1-2 years of experience in a similar position

  • Experience in at least one scripting language (preferably Python)

  • Experience and enthusiasm for learning about new technologies and tooling

  • Comfortable with working at the frontier of infrastructure and software development

Nice to have:


  • Experience with one of the major cloud platforms (preferably AWS)

  • Experience using Kubernetes

  • Experience with Go

  • Experience managing a monorepo

  • Experience with Bazel or similar build systems

  • Experience with ArgoCD

  • Experience writing Kubernetes controllers

Perks & Benefits:


  • Generous company paid medical, dental & vision insurance coverage

  • Unlimited paid time off & 11 companywide paid holidays

  • Wellness allowance

  • Commuter benefits

  • Healthy lunches and dinners provided daily

  • Generous paid parental leave policy & fertility benefits

Pay Disclosure

At Verkada, we want to attract and retain the best employees, and compensate them in a way that appropriately and fairly values their individual contribution to the company. With that in mind, we carefully consider a number of factors to determine the appropriate starting pay for an employee, including their primary work location and an assessment of a candidate’s skills and experience, as well as market demands and internal parity. This estimate can vary based on the factors described above, so the actual starting annual base salary may be above or below this range. This estimate is also just one component of Verkada’s total rewards package. A Verkada employee may be eligible for additional forms of compensation, depending on their role, including sales incentives, discretionary bonuses, and/or equity in the company in the form of Restricted Stock Units (RSUs).

Estimated Annual Pay Range

$130,000—$280,000 USD

Verkada Is An Equal Opportunity Employer


As an equal opportunity employer, Verkada is committed to providing employment opportunities to all individuals. All applicants for positions at Verkada will be treated without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law.

Your application will be handled in accordance with our Candidate Privacy Policy .

Posted 2025-11-04

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