Verkada · 8 hours ago
Software Engineer - Fleet Management
San Mateo, CA
Full-time
Onsite
Mid Level
$130K/yr - $280K/yr
3+ years expVerkada is transforming how organizations protect their people and places with an integrated, AI-powered platform. They are seeking a backend software engineer with strong data analysis skills to build data infrastructure and analytical tools that power safe release operations across a million+ camera devices.
Artificial Intelligence (AI)Enterprise SoftwareInternet of ThingsPhysical SecuritySmart Building
Responsibilities
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
Qualification
Required
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
Preferred
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
Benefits
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
Company
Verkada
A leader in cloud physical security, Verkada protects people and places with an integrated, AI-powered platform.
1001-5000 employees
H1B Sponsorship
Verkada has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (63)
2024 (55)
2023 (49)
2022 (43)
2021 (19)
2020 (13)
Funding
Current Stage
Late StageTotal Funding
$814.3MKey Investors
CapitalGGeneral CatalystAlkeon Capital
2025-12-03Series Unknown· $20M
2025-09-01Debt Financing· $150M
2025-02-19Series E· $200M
Leadership Team
Filip Kaliszan
Founder & CEO
Benjamin Bercovitz
Co-founder
Recent News
2025-12-08
2025-12-05
Tech Startups - Tech News, Tech Trends & Startup Funding
2025-12-04
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