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Alert Logic Jobs in California (NOW HIRING)

AllSTEM Connections

Business Analyst IV

Fairfield, CA · On-site

$104K - $124K/yr

If you are passionate about eliminating "alert fatigue," designing robust incident response ... logic constantly matures with our system architecture. Qualifications & Requirements Minimum ...

AllSTEM Connections

Business Analyst IV

Fairfield, CA · On-site

$114K - $124K/yr

Key Responsibilities Alert Rationalization & Signal Optimization • Governance Framework ... Logic: Define the rules of engagement for incident response-determining exactly when an issue ...

Saronic

Senior Security Operations Analyst

San Diego, CA · On-site

$90 - $120/hr

Perform in‑depth alert investigation and root cause analysis, documenting findings with clear ... Experience writing or iterating on detection logic, response playbooks, or SOC operational ...

New

Doist

SOC Analyst

San Francisco, CA · On-site

$90 - $120/hr

Alert Triage** Own the queue during coverage hours. Prioritize and disposition alerts accurately ... Report false positives, patterns in noise, and cases where detection logic needs adjustment.

3B Staffing LLC

Workday Extend Developer

Sunnyvale, CA · On-site

... business logic using Workday Orchestrate Implement validation rules, calculated fields, and ... alert the sender by reply email and then delete this message and any attachments. If you are not ...

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Alert Logic information

What is Alert Logic?

Alert Logic is a cybersecurity company that provides managed detection and response (MDR) solutions for businesses. Their services include threat detection, vulnerability management, and 24/7 security monitoring to help organizations protect their data and IT infrastructure. Alert Logic's offerings are designed to work across cloud, on-premises, and hybrid environments, making it easier for companies to identify and respond to security threats quickly. The company combines advanced technology with expert security analysts to deliver continuous protection and support.

What are common challenges faced by security analysts at Alert Logic, and how can new hires prepare for them?

Security analysts at Alert Logic often encounter challenges such as managing high volumes of security alerts, staying current with evolving cyber threats, and prioritizing incidents effectively. New hires can best prepare by developing strong analytical skills, becoming familiar with security information and event management (SIEM) tools, and enhancing their knowledge of the latest threat landscapes. Collaboration is key; analysts regularly work with cross-functional teams to investigate and resolve incidents, so strong communication and teamwork abilities are also essential for success.

What are the key skills and qualifications needed to thrive as an Alert Logic security analyst, and why are they important?

To thrive as an Alert Logic Security Analyst, you need a solid understanding of cybersecurity principles, incident response, and network security, typically supported by a degree in information security or related field. Familiarity with threat detection platforms, SIEM systems, and relevant certifications like CompTIA Security+ or CISSP are commonly required. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for investigating threats and collaborating with clients. These skills are critical for accurately identifying, analyzing, and mitigating security threats to protect client environments.

What is the difference between Alert Logic vs Security Analyst?

AspectAlert LogicSecurity Analyst
CertificationsSecurity+; CISSP (preferred)Security+; CISSP; CEH (optional)
Work EnvironmentManaged security services provider, cloud securityIn-house security teams, consulting firms
Industry UsageCybersecurity service providers, cloud providersOrganizations across industries, government, finance
Role FocusMonitoring, threat detection, security automationIncident response, vulnerability assessment, policy development

Alert Logic professionals typically work for security service providers focusing on cloud and managed security solutions, while Security Analysts are employed within organizations to monitor and respond to security threats. Both roles require similar certifications and involve cybersecurity but differ in scope and work environment.

What are popular job titles related to Alert Logic jobs in California?

For Alert Logic jobs in California, the most frequently searched job titles are:

What job categories do people searching Alert Logic jobs in California look for?

The top searched job categories for Alert Logic jobs in California are:

What cities in California are hiring for Alert Logic jobs?

Cities in California with the most Alert Logic job openings:

Alert Logic jobs near you
Infographic showing various Alert Logic job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 7% Part Time, 3% Contract, and 1% Nights. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution.

Data Scientist, AI Solutions

DataVisor

Mountain View, CA • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 27 days ago

Job description

DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.

Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!

Role Summary

We are seeking a hands-on Data Scientist to own the detection strategy behind our AI-powered Fraud and AML Solutions suite. You will design the logic that decides what gets flagged - typologies, segmentation, thresholds, and false-positive tradeoffs - across Real-Time Payments (RTP), ACH, Wire, Check, and Application/Onboarding. You will also solve the industry-wide "Cold Start" problem: designing detection that protects new clients from day one, before their historical data is fully integrated. Working at the intersection of fraud domain expertise and data, you will partner closely with our Product, Strategy, Data Science, Delivery, and Engineering teams to translate how fraud actually happens into scalable, automated defenses. This is a strategy and analytics role - you will work in Python and SQL every day, but the core of the job is judgment about risk.

Responsibilities
  • Design Pre-Built Detection Strategies: Build, back-test, and tune the detection strategies powering our core solution modules - Real-Time Payments (RTP), ACH, Wire, Check, and Application/Onboarding - balancing catch rate against customer friction.
  • Translate Typologies into Detection: Turn fraud and money-laundering typologies - synthetic identity, account takeover, scams, mule networks, structuring, check kiting - into concrete, testable detection logic.
  • Build the Global Consortium: Help design and stand up DataVisor's cross-industry fraud intelligence network - defining which signals to collect, how to normalize them across clients, and how to turn shared device and behavioral data into detection that generalizes.
  • Solve "Cold Start": Design generalized detection strategies that deliver immediate value to new clients, protecting them against known threats before their historical data is fully integrated.
  • Validate AI Agent Logic: Serve as the expert "Human-in-the-Loop" for our AI-driven strategy engine, reviewing automated fraud detection logic for soundness, transparency, and false-positive impact.
  • Partner Cross-Functionally: Work with Product, Strategy, Data Science, Delivery, and Engineering teams to take detection strategies from concept to production.

Requirements

Qualifications
  • Education: BS or MS in Statistics, Mathematics, Economics, Computer Science, Engineering, or a related discipline.
  • Experience: Minimum 1 year of hands-on experience in fraud strategy, AML/financial crime, risk analytics, data science, or a closely related field.
  • Domain Knowledge: Working understanding of fraud or AML typologies and payment rails (FedNow, RTP, ACH, Wire).
  • Technical Core: Proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL. Both are assessed in our technical screen.
  • Analytical Rigor: Solid foundation in performance evaluation and tradeoff analysis - precision/recall, AUC, KS, false-positive rates, alert volumes, and catch rate.
Preferred Qualifications
  • Experience owning fraud or AML strategy at a bank, credit union, fintech, or platform.
  • Familiarity with rules engines, case management systems, or alert-tuning workflows.
  • Exposure to unsupervised learning, anomaly detection, or graph/link analysis - as a consumer of these methods, not necessarily a builder.
  • Previous experience working in a high-growth SaaS or Fintech environment.

Benefits

  • Salary ranges between USD 120,000 and 170,000.
  • Total compensation includes base salary, performance bonuses, and equity options.
  • Comprehensive medical, dental, and vision insurance coverage.
  • 401(k) retirement savings plan available.
  • Discretionary Time Off (DTO) plus paid holidays.
  • Opportunities for research, development, and professional advancement.
  • Regular team-building events in a collaborative and innovative work environment.

Apply