Job DescriptionJunior SOC Analyst I - onsite Job, 1+ Year Experience
Annual Income:
$64K - $78K
A valid work permit is necessary in the US
About us:
Patterned Learning is a platform that aims to help developers code faster and more efficiently. It offers features such as collaborative coding, real-time multiplayer editing, and the ability to build, test, and deploy directly from the browser. The platform also provides tightly integrated code generation, editing, and output capabilities.
Responsibilities
The SOC Analyst (Level 1) is responsible for:
Initial triage of security events using established procedures, tools, and monitoring platforms including, but not limited to:Firewalls and network devicesServers and workstationsWeb proxiesIntrusion detection and prevention systems (IDS/IPS)Anti-malware systemsSecurity Incident and Event Management systems (SIEM)Data Loss Prevention systems (DLP)Advanced Endpoint Detection and Response systems (EDR)External communications from outside entities, users, phone calls, and emails.Assist senior members of the SOC with analyzing and responding to potential security incidentsMaintain situational awareness of emerging cyber trends by reviewing open-source reports for recent vulnerabilities, malware, and other threats that have the potential to impact our client organizations.Document threat campaign(s) techniques, lateral movements and extract indicators of compromise (IOCs).Manage the Security monitoring tools, and set up dashboards and alerts.Develop and maintain technical documentation and Standard Operating Procedures (SOP).Conduct security research and intelligence gathering on emerging threats and exploits.Participate in shift transition calls to ensure all open cases and tasks are properly managed and addressed.Periodic reporting of metrics and corresponding analysis for client review and strategic information security program adjustments and planning.Maintenance and management of various security technology platforms.Qualifications
Highly motivated to work in information securityCandidate must be a US citizen / permanent resident.Customer-oriented & professional.Strong verbal and written communication skills, fluent in English.Ability to understand and correlate data from multiple sources, not limited to user authentication events, windows security event logs, Syslog, NetFlow/PCAP data, DHCP logs, DNS logs, intrusion detection alerts, proxy logs, packet captures, and firewall events.Knowledge of various security methodologies and processes, and technical security solutions a plus.Understanding how both Windows, Linux, and network platforms are compromised is a plus.Experience as a Security/Network Administrator or equivalent knowledge. Previous Security Operations Center (SOC) experience is a plus.Experience with Security Information and Event Management (SIEM) tools is a plus.Regular expression creation experience to support dynamic security event analysis.Solid understanding of IP networking fundamentals, including IPv4, TCP/IP, LAN/WAN design theory, static and dynamic routing protocols, NAT, ACLs, etc.Solid Understanding of TCP/IP, the OSI Model, and underlying Protocols.Scripting language skills in Python or PowerShell are a plus.Understanding of cyber forensics concepts including malware, hunt, etc. a plus.Understanding how to interpret vulnerability and penetration scan results is a plus.Configuration and knowledge of design and implementation concepts of firewall, VPN, IPS, vulnerability management platforms, and other security technologies is desirableBachelor's degree in Information Technology or equivalent experience preferred; background will be considered instead of formal education.Competency with Microsoft Operating Systems, including server and workstation and AD engineering and administration capabilities, is desirableBasic knowledge of Linux operating systems (command line and GUI) is a plusExpected to stay current on security industry trends, new threats and attack techniques, mitigation techniques, and emerging security technologies
Why Patterned Learning LLC?
Patterned Learning can provide intelligent suggestions, automate repetitive tasks, and assist developers in writing code more effectively. This can help reduce coding errors, improve productivity, and accelerate the development process.
Pattern recognition is particularly relevant in the context of coding. Neural networks, especially deep learning models, are commonly employed for pattern detection and classification tasks. These models simulate human decision-making and can identify patterns in data, making them well-suited for tasks like code analysis and generation.
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