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Verkada Inc

Senior Backend Engineer - Alarms & Intrusion

Reposted 2 Days Ago
San Mateo, CA
130K-280K Annually
Senior level
San Mateo, CA
130K-280K Annually
Senior level
The Senior Backend Engineer will build scalable systems for intrusion products, collaborating with teams to enhance security and user experiences.
The summary above was generated by AI
Who We Are
Verkada is a leader in cloud-based B2B physical security. 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, Verkada has expanded rapidly with 15 offices across three continents, 2,100+ full-time employees and 30,000+ customers across 70+ countries.
 
About the Alarms Team: 
As a member of the Alarms engineering team, you will be responsible for building compelling user experiences for one of Verkada’s major new product categories. This is an opportunity to take ownership over software products which keep our customers protected in times of critical need. 
 
You’ll be working alongside a small, dynamic team of frontend, backend and firmware engineers to develop these experiences. Our team operates as a startup within a startup, so you can expect a lot of autonomy and impact on the direction of the Alarms product category. 
 
If you are an experienced, Backend Engineer who is excited about building new ways to keep people safe and secure, then we want to hear from you. 
 
Who You Are:
  • Excited about creating best-in-class products which protect people and property
  • You can take an ambitious product or technical idea and drive it to completion
  • You are excited about the idea of working on large scale backend services, computer vision pipelines and / or embedded systems.

As a back-end engineer you will:

  • Build, test and operate highly scalable, available and fault-tolerant distributed systems while minimizing API and end-to-end latency
  • Design and build a flexible and extensible workflow orchestration engine that handles complex conditional logic and interactions with both internal and external services to execute customer-defined actions like customer notification, call transcription and emergency dispatch
  • Design and build monitoring capability that provides real-time updates to customers about on-going incidents
  • Innovate with bleeding-edge cloud native tools and frameworks like Kubernetes, Kafka, AWS RDS, Temporal, etc.
  • Innovate with AI-driven automation to make threat detection and mitigation more efficient in terms of cost and time
  • Collaborate with product managers, UX designers and front-end engineers to identify and solve customer problems
  • Deliver quality code by following best practices in testing, version control, and continuous deployment

Experience:

  • 4+ years of industry software engineering experience.
  • Mastery of at least one common server programming language (e.g. Python or Go)
  • Mastery of scalable backend design — Including databases, queues and blob storage
  • Experience working in a fast-paced software development environment.

Recommended Skills:

  • Advanced software architecture and API design experience
  • Good understanding of at least one relational database technology, including performance and load characteristics, transactions and locking
  • Experience with some of the following technologies: Postgres or MySQL, Distributed high concurrency key-value storage (Redis, DynamoDB), Docker, AWS, Kubernetes, Kafka, Embedded systems (Raspbian, Embedded Linux, FreeRTOS)

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

Culture and Values:

  • Self-motivated problem solver: At Verkada, you will tackle large, complex problems with no clear answers. 
  • Teach and learn: You will learn new technologies while being entrusted with the technical ownership of major systems, and we hope to learn something from you in turn. 
  • Growth mindset: As a small, fast-growing startup, every day brings new challenges and opportunities for growth, and we want you to grow with us!

Annual Pay Range

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. 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)

Below is the annual on-target earnings (OTE) range for full-time employees for this position, comprised of base compensation and commissions (if applicable).

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. 

Top Skills

AWS
Docker
DynamoDB
Embedded Linux
Freertos
Go
Kafka
Kubernetes
MySQL
Postgres
Python
Raspbian
Rds
Redis

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