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Unix/Linux Infrastructure Forensics & Incident Engineer

Strategic Resources InternationalSan Jose, CA🇺🇸United StatesPosted Sep 16, 2026

Quick Overview

Seniority

Mid Senior

Work mode

Hybrid

Location

San Jose, CA, United States

Posted

Yesterday

DockerShellAWSOAuthSSOTCP/IPActive DirectoryAzureBashDNSGoogle CloudHTTPHTTPSKubernetesLDAPPerlPowerShellPythonRisk AssessmentTriage

Job Description

Level: Senior/Staff Digital Forensics and IR Engineer Function: Cybersecurity / Digital Forensics
About the Role
Key Responsibilities
Digital Forensics & Incident Response

Lead complex digital forensic investigations involving Unix/Linux servers, infrastructure, endpoints, cloud workloads, and enterprise applications.
Perform forensic acquisition, preservation, analysis, and documentation of compromised systems.
Investigate security incidents including:

Account compromise and credential theft
Malware and rootkits
Privilege escalation
Lateral movement
Persistence mechanisms
Data exfiltration
Insider threats
Supply-chain compromises
Web/application server compromises
Cloud infrastructure attacks

Analyze system artifacts including filesystem metadata, logs, processes, memory, network connections, authentication records, scheduled tasks, services, SSH activity, shell history, and persistence mechanisms.
Conduct timeline analysis and attack reconstruction to determine initial access, attacker activity, persistence, lateral movement, and impact.
Develop and maintain forensic playbooks, investigation procedures, and incident response methodologies.

Unix/Linux Infrastructure Forensics

Perform deep forensic analysis of Linux/Unix operating systems, including RHEL, CentOS, Ubuntu, Debian, SUSE, and other enterprise distributions.
Investigate compromised infrastructure including:

Web servers
Application servers
Database servers
DNS/DHCP infrastructure
Authentication services
Kubernetes/container hosts
CI/CD infrastructure
Build systems
Source-code repositories
Network infrastructure

Analyze Linux artifacts such as /var/log, /etc, /proc, /sys, systemd, cron, SSH configuration, authentication logs, bash history, package databases, filesystem metadata, and kernel/process information.
Investigate rootkits, kernel-level persistence, malicious binaries, unauthorized users, SSH keys, modified system services, and privilege escalation.
Perform live-response investigations while minimizing evidence contamination.

Incident Response & Threat Hunting

Participate in and lead high-severity incident response investigations across global enterprise infrastructure.
Develop hypotheses and conduct proactive threat hunting across Linux, cloud, identity, network, and application environments.
Correlate forensic evidence with SIEM, EDR, network telemetry, cloud logs, authentication data, and threat intelligence.
Identify attacker TTPs and map activity to frameworks such as MITRE ATT&CK.
Develop indicators of compromise (IOCs), behavioral detections, and threat-hunting queries.
Work with SOC and detection engineering teams to convert forensic findings into scalable detection capabilities.

Cloud, Containers & Modern Infrastructure

Investigate incidents involving AWS, Azure, Google Cloud Platform, and hybrid environments.
Perform forensic analysis of cloud workloads, virtual machines, containers, Kubernetes clusters, and cloud control-plane activity.
Investigate compromised containers, images, orchestration infrastructure, CI/CD pipelines, and software supply chains.
Understand cloud-native logging, identity, networking, storage, and workload telemetry.

Malware & Artifact Analysis

Analyze suspicious files, scripts, binaries, and system artifacts.
Perform basic static and dynamic analysis of malware and attacker tooling.
Identify malicious scripts involving Bash, Python, Perl, PowerShell, and other scripting languages.
Collaborate with malware reverse engineers when deeper binary analysis is required.

Investigation Automation & Tooling

Develop Python, Bash, or other automation tools to accelerate forensic collection, triage, evidence analysis, and incident response.
Build scalable forensic collection and investigation capabilities across thousands of enterprise systems.
Automate IOC searches, log analysis, timeline generation, artifact collection, and evidence correlation.
Evaluate and integrate modern DFIR and AI-assisted investigation technologies.

Incident Management & Executive Communication

Serve as a technical lead during critical security incidents.
Coordinate with Security Operations, Infrastructure, Cloud, Networking, IAM, Engineering, Legal, Privacy, and other stakeholders.
Produce high-quality forensic investigation reports, root-cause analyses, and remediation recommendations.
Clearly communicate technical findings, business impact, risk, and recommended actions to senior leadership.

Required Qualifications

6+ years of professional experience in cybersecurity, digital forensics, incident response, infrastructure security, or a related discipline.
Strong hands-on experience with Unix/Linux operating systems and enterprise infrastructure.
Proven experience conducting complex computer forensic investigations and security incident response.
Strong understanding of Linux internals, filesystems, processes, memory, networking, authentication, and system services.
Experience investigating compromised servers and enterprise infrastructure.
Strong knowledge of TCP/IP, DNS, HTTP/HTTPS, SSH, TLS, VPN, firewalls, proxies, and network security.
Experience with SIEM, EDR/XDR, network security monitoring, vulnerability management, and security telemetry.
Experience with scripting/programming languages such as Python, Bash, Perl, or PowerShell.
Understanding of MITRE ATT&CK and modern attacker TTPs.
Experience working in large-scale, high-availability high-tech or cloud environments.
Strong analytical, problem-solving, documentation, and communication skills.
Ability to work effectively during high-severity incidents and under time-sensitive conditions.

Preferred Qualifications

Experience with AWS, Azure, or Google Cloud Platform forensics.
Experience with Kubernetes, Docker, containers, and cloud-native infrastructure.
Experience with memory forensics using tools such as Volatility.
Experience with forensic platforms and tools such as EnCase, FTK, Autopsy, Sleuth Kit, Velociraptor, KAPE, or equivalent technologies.
Experience with Linux forensic frameworks and live-response tooling.
Experience with malware analysis and reverse engineering.
Knowledge of identity attacks involving Active Directory, LDAP, Kerberos, SSO, OAuth, and cloud identity.
Experience investigating software supply-chain and CI/CD compromises.
Experience with threat intelligence and adversary tracking.
Experience building automated DFIR capabilities at enterprise scale.
Experience using AI/ML technologies to enhance threat hunting, forensic analysis, and incident response.