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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Cyber Intel Analyst - **Company:** Leidos, Inc. - **Location:** Washington, DC, United States (Remote available) - **Experience:** Experienced - **Salary:** $87,100.0 - $157,450.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Build Automation, Microsoft Azure, Bash Shell, Big Data, Cloud Computing, Data Cleansing, Query Languages, Domain Name System (DNS), Hypertext Transfer Protocols (HTTP), Intrusion Detection and Prevention, Intrusion Detection Systems, Python (Programming Language), Log Analysis, Network Architecture, Packet Analyzer, Open Source Intelligence, Windows PowerShell, Kusto Query Language, Security Information and Event Management, TCP/IP, Office365, Mitre Att&ck, Cyber Threat Analysis, Containerization, Cybercrime, Cyber Warfare, Splunk - **Published:** September 16, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9166132/cyber-intel-analyst ## About the Role * Current DoD TS/SCI clearance, and ability to pass additional customer suitability screening prior to start and maintain throughout employment * Education and experience depending on job level: + Level III: Bachelor's degree in a related discipline and 4+ years of relevant work experience OR Master's degree in a related discipline and 2+ years of relevant work experience. Additional experience may be considered in lieu of degree. + Level IV: Bachelor's degree in a related discipline and 8+ years of relevant work experience OR Master's degree in a related discipline and 6+ years of relevant work experience. Additional experience may be considered in lieu of degree. * DoD 8570 IAT Level II or higher required to start - e.g., Security+, CySA+, GSEC, SSCP, CASP+ CE, CCNP Security, CISA, GCED, GCIH, or CISSP * DoD 8570 CSSP Analyst certification required within 180 days of onboarding - e.g., CySA+, Cloud+, GCIA, CEH * DoD 8570 CSSP Infrastructure Support certification required within 180 days of onboarding - e.g., CySA+, Cloud+, CEH, CND, CHFI, GICSP, SSCP * Strong knowledge of networking protocols (TCP/IP, DNS, HTTP/S) and security controls (IDS/IPS, next-gen firewalls) Preferred Skills * Query languages: SPL (Splunk), KQL (Kusto), or Elastic DSL for large-scale data analysis * Scripting: Python, PowerShell, or Bash for automation and data enrichment * Cloud familiarity: AWS, Azure, O365, containerized workloads * Framework fluency: MITRE ATT&CK, Cyber Kill Chain, Diamond Model of Intrusion Analysis * DFIR experience (packet capture / endpoint log analysis, root-cause reconstruction) * Experience with Threat Intelligence Platforms (Anomali, ThreatConnect, MISP) or OSINT/commercial threat portals (Recorded Future, VirusTotal, Mandiant Advantage) * Prior work in a Cyber Fusion Center (CFC) or Joint Operations Center (JOC) * AI-driven analytics experience for anomaly/behavioral detection * Strong analytical writing - translating technical findings into executive-level briefings ## Description Leidos' Digital Sector is seeking Cyber Analysts with backgrounds in Threat Hunting, Threat Intel, and/or Cyber Fusion to join our Defensive Cyber Operations team in Washington, DC in early 2027. These positions will support our DCO team with protecting federal networked systems and services from threats to national security. These are hybrid roles that are primarily on-site, with up to 20% telework potential. Core hours are 0600-1600, supporting a team of analysts on 24/7 rotating shifts (days, swings, nights); occasional shift or weekend work may be required to cover gaps., Threat Hunting * Develop and execute hypothesis-driven hunt campaigns based on adversary TTPs * Query and correlate telemetry across cloud, identity, and network infrastructure to surface "low and slow" attacks * Partner with detection engineering to convert hunt findings into automated SIEM/EDR detection rules * Build automation for countermeasure deployment and asset isolation * Use MITRE ATT&CK to proactively search for APT activity Threat Intelligence * Produce strategic, operational, and tactical intelligence reports on emerging threats and actor motivations * Characterize adversary TTPs and build APT profiles using MITRE ATT&CK * Manage the intelligence lifecycle: PIRs, collection plans, and dissemination * Evaluate and manage IOC/IOB fidelity within a Threat Intelligence Platform (TIP) * Deliver Indications & Warnings (I&W) to support hunt and DCO operations Cyber Fusion * Synthesize external threat intelligence with internal hunt telemetry into a unified operational picture * Author Fusion Reports blending forensics and strategic intelligence for leadership * Correlate global threat activity against internal sensor logs via SIEM/TIP * Pair vulnerability data with active threat reporting to prioritize remediation * Maintain the team's "single source of truth" for prioritized threat data Shared across all tracks * Maintain situational awareness of the evolving threat landscape and its relevance to the customer enterprise * Author clear technical reporting and metrics on findings, gaps, and posture improvements * Collaborate across Hunt, Intel, Engineering, and Fusion functions to ensure intelligence drives defensive action ## Related Videos - [Cyber Sleuth: Finding Hidden Connections in Cyber Data](https://www.wearedevelopers.com/videos/893-cyber-sleuth-finding-hidden-connections-in-cyber-data) - [An Applied Introduction to eBPF with Go](https://www.wearedevelopers.com/videos/1075-an-applied-introduction-to-ebpf-with-go) - [Our journey with Spring Boot in a microservice architecture](https://www.wearedevelopers.com/videos/511-our-journey-with-spring-boot-in-a-microservice-architecture) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Turning Container security up to 11 with Capabilities](https://www.wearedevelopers.com/videos/718-turning-container-security-up-to-11-with-capabilities) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## Related Articles - [9 Ways to Make Money Hacking](https://www.wearedevelopers.com/magazine/333-9-ways-to-make-money-hacking) - [Dev Digest 134 - Where pixels sing?](https://www.wearedevelopers.com/magazine/477-dev-digest-134-where-pixels-sing) - [Best Paying Jobs in Technology](https://www.wearedevelopers.com/magazine/256-best-paying-jobs-in-technology) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [What’s the Difference between a Junior, Mid, and Senior Developer?](https://www.wearedevelopers.com/magazine/238-what-s-the-difference-between-a-junior-mid-and-senior-developer)