Verkada is transforming how organizations protect their people and places with an integrated, AI-powered platform. A leader in cloud physical security, Verkada helps organizations strengthen safety and efficiency through one connected software platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management.
Over 30,000 organizations worldwide, including more than 100 companies in the Fortune 500, trust Verkada as their physical security layer for easier management, intelligent control, and scalable deployments. Founded in 2016, Verkada has expanded rapidly with 15 offices and 2,200+ full-time employees.
About the Role
We're looking for a backend software engineer with strong data analysis skills to join our camera fleet management team. You'll build the data infrastructure and analytical tools that power our safe release operations across a million+ camera devices. This role combines traditional backend engineering with data pipeline development, log analysis, and metrics-driven insights.
Camera firmware releases include critical updates like new AI models, and understanding their impact requires sophisticated data analysis at scale. You'll develop the pipelines, dashboards, and analytical tools that help us detect anomalies, measure release health, and ensure every deployment is successful. Your work will directly support data-driven decision making for releases that impact our customers and our reputation.
Every release decision we make affects hundreds of thousands of cameras in the field. The data pipelines you build and the insights you surface directly determine whether we can release confidently or need to halt a problematic rollout. You'll be the engineering force behind our data-driven release culture.
You'll work closely with the Systems Software Engineer leading the team to build robust data infrastructure—from ingestion pipelines processing high-volume logs to SQL queries surfacing critical insights to real-time monitoring dashboards.
What You'll Do
- Build data pipelines: Design and implement data workflows using technologies like Kafka, Firehose, or Spark to process release metrics and device telemetry at scale
- Develop analytical tools: Create Python-based analysis tools using pandas and SQL to identify release issues, detect anomalies, and measure fleet health
- High-volume log analysis: Build systems to ingest, process, and analyze logs from millions of devices using technologies like OpenSearch, text clustering, and AI-based techniques
- Create monitoring infrastructure: Develop Grafana dashboards and alerts that surface critical metrics and anomalies in real-time
- Support release operations: Provide data-driven insights during releases, helping the team make informed decisions about rollout speed and risk
- Design test infrastructure: Build test bench setups and CI pipelines that validate releases before they reach production
- Query and optimize: Write efficient SQL queries against timeseries databases to extract insights from large-scale device data
Must-Haves
- BS/MS in Computer Science (or similar degree).
- 3+ years experience of industry experience in distributed software engineering.
- Strong Python skills: Proficiency in Python for data analysis, particularly with libraries like pandas
- SQL expertise: Experience writing complex SQL queries and queries for time-series analysis
- Backend engineering fundamentals: Solid software engineering skills—this is a backend role that happens to involve data, not a pure data engineering position
- Data pipeline experience: Familiarity with pipeline technologies like Kafka, Firehose, or Spark
- Log analysis at scale: Experience with high-volume log analysis technologies such as OpenSearch, text clustering, or AI-based log analysis techniques
- Timeseries databases: Experience working with timeseries databases and temporal data
- Metrics & observability: Hands-on experience with Grafana or similar monitoring tools
- Anomaly detection: Understanding of anomaly detection techniques and their practical application
- Coding-based analysis: Preference for solving problems through code rather than manual analysis
- Must be willing and able to work onsite five days per week.
Nice-to-Have
- Experience with Go
- Background in statistics or experimental design
- Familiarity with A/B testing and statistical inference
- Experience with CI/CD systems
- Knowledge of test automation frameworks
- Understanding of distributed systems
US Employee Benefits
Verkada is committed to fostering a workplace environment that prioritizes the holistic health and wellbeing of our employees and their families by offering comprehensive wellness perks, benefits, and resources. Our benefits and perks programs include, but are not limited to:
- Healthcare programs that can be tailored to meet the personal health and financial well-being needs - Premiums are 100% covered for the employee under at least one plan and 80% for family premiums under all plans
- Nationwide medical, vision and dental coverage
- Health Saving Account (HSA) with annual employer contributions and Flexible Spending Account (FSA) with tax saving options
- Expanded mental health support
- Paid parental leave policy & fertility benefits
- Time off to relax and recharge through our paid holidays, firmwide extended holidays, flexible PTO and personal sick time
- Professional development stipend
- Fertility Stipend
- Wellness/fitness benefits
- Healthy lunches provided daily
- Commuter benefits
Additional Information
- We do sponsor and take over sponsorship of employment visas for this role. If we make you an offer, we will make every reasonable effort to get you a visa.
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).
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.
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