Lead Security Operations Analyst

At Wursta, we believe technology should expand what people are capable of — not quietly erase what they are for. Buying the technology is the easy part; Wursta builds the operating system that turns technology investment into value you can measure — combining governance, workforce proficiency, and platform delivery, and then transferring the system to our clients own teams. We specialize in digital transformation, cloud services, managed services, custom development, cybersecurity, and AI solutions to help organizations scale capabilities and increase productivity.

The Managed Security Services Operations (MSSP) Team functions as a Secure AI Augmented SOC, Software Engineering (AI Product Development), and Go-To-Market for Security services (Sales Enablement). This team functions within a specialized, cross-functional MSSP unit tailored for multi-tenant cloud environments (focusing on Google Workspace and Google Cloud Platform).
The team is structured to operate as a high-velocity, automation-first security team, moving away from traditional manual Level 1/Level 2 SOC escalation trees to an AI-driven, Tier-3 led model.

The Lead Security Operations Analyst serves a dual-purpose operational and engineering role. As the primary tier-3 response authority and team lead, this individual oversees real-time threat monitoring, incident response, and SLA delivery across client tenants within the proprietary MSSP platform.
Google Gemini and Anthropic Claude API) to architect automated escalation workflows and orchestrations, engineer high-fidelity detections, and integrate custom AI agents into the core MSSP application stack. Security Monitoring & Incident Response (24/7 Operations Lead)
Threat Detection & Triage:

Lead the operational triage, analysis, and prioritization of complex security events across multi-tenant client environments.
Incident Response Leadership:

Function as the Incident Commander during critical security events, adhering strictly to

NIST SP 800-61r2 ( Computer Security Incident Handling Guide ) to execute containment, eradication, and recovery strategies.
Utilize the

MITRE ATT&CK Framework

to map adversary tactics, techniques, and procedures (TTPs), proactive threat hunting, and writing custom correlation rules (e.g., Ensure all incident notifications and responses meet contractual Service Level Agreements (SLAs) and regulatory reporting timelines.
MSSP App Automation & AI Development
Utilize AI development environments and APIs to write clean, production-grade Python, Node.js, or Go code to extend the backend logic of the MSSP application.
As needed, build integrations to meet Client needs for monitoring other security solution telemetry such as EDR solutions (CrowdStrike, SentinalOne, Etc), DNS Security Alerts, Threat Intelligence (GTI, etc), SPAM/Phishing solutions, IDM solutions (Okta, Jumpcloud, etc), Firewall/IDS alerts, and other related monitoring needs.
Design and build automated orchestration playbooks (SOAR) within the MSSP platform to execute dynamic triage, identity enrichment, and automatic tenant isolation.
Implement AI-driven alert summarize-and-enrichment pipelines using LLM frameworks (e.g., Gemini models for internal threat databases, BigQuery SIEM data lakes, and third-party APIs via REST webhooks to construct dynamic Retrieval-Augmented Generation (RAG) pipelines, and MCP servers) to provide context-rich incident tickets for analysts and end-clients.
Continuously optimize detection pipelines using machine learning and AI filters to reduce false positive alert volume.
Compliance, Governance & Multi-Tenant Architecture
Understanding of security monitoring controls directly to

NIST CSF 2.0 (Detect/Respond),

ISO/IEC 27001:2022 Control A.8.16 ( Monitoring Activities ), and

NIST SP 800-53r5 controls (AU, IR, and SI families).
Data Privacy Compliance:

Ensure incident response procedures and telemetry collection strictly adhere to

EU GDPR

(Article 33 notification obligations),

Brazil LGPD

, and US State Privacy Laws ( CCPA/CPRA ).
SIEM & XDR Platforms:

Splunk, Microsoft Sentinel, Elastic SIEM, CrowdStrike Falcon, SentinelOne, Palo Alto Cortex XDR.
Network & Telemetry:

Wireshark, Zeek, Suricata, PCAP analysis, Syslog, Windows Event Logs, CloudTrail/CloudWatch.
AI & Automation Tools:

Python (Pandas, Requests), REST APIs, Cursor IDE, GitHub Copilot, Claude/OpenAI APIs, LangChain, Webhooks, Docker.
Python, PowerShell, Bash, Demisto/Cortex XSOAR, Shuffle, Tines.
MITRE ATT&CK (Enterprise, Cloud), NIST SP 800-61r2, Cyber Kill Chain, YARA, Sigma Rules.
Cloud Environments:

AWS, Azure, GCP security architectures, IAM, and log architectures.
3+ years

in a SOC or MSSP environment with at least 2+ years

in a Level 3 / Lead SOC capacity.
~ Demonstrated proficiency using AI-assisted coding tools (e.g., Cursor, Copilot) to build, refactor, and deploy automation scripts and lightweight applications rapidly.
~ Expertise in log analysis across endpoint, identity (Okta, Azure AD), network, and multi-cloud environments.

GIAC:

GIAC Certified Incident Handler (GCIH), GIAC Continuous Monitoring & Security Operations (GMON), or GIAC Network Forensics Analyst (GNFA).
CompTIA / Offensive Security:

CySA+, CASP+, or OSCP.
ISC2:

Certified Information Systems Security Professional (CISSP).

We move fast and adapt to change like nobodys business. Work Style Survey

: A brief survey to help us learn more about your work style.

A 20-30 minute chat with our hiring coordinator to see if we’re a good fit. Wursta provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.