Reverse Engineer Skill Level 4 - VV-1463

Nyla Technology Solutions

$171K — $202K *
Technical Services
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of professional experience in reverse engineering, malware analysis, or software development (or equivalent qualifications)
  • Hands-on expertise with disassemblers and decompilers like IDA Pro, Ghidra, or Binary Ninja
  • Strong ability to analyze malicious binaries for functionality and evasion mechanisms
  • Proven track record in extracting and documenting Indicators of Compromise (IOCs)
  • Degree in Computer Science, Cyber Security, or related field preferred but extensive experience can substitute

Responsibilities

  • Conduct in-depth reverse engineering of complex malware binaries
  • Analyze malicious binaries using static and dynamic techniques
  • Identify and extract actionable Indicators of Compromise (IOCs)
  • Develop detection rules and mitigation strategies based on findings
  • Collaborate with team members to solve intricate security challenges

Benefits

  • Comprehensive benefits package that supports employee well-being and work-life balance
  • Opportunities for professional development and career growth
  • Dynamic work environment focused on innovation and teamwork
  • Access to cutting-edge technology and tools for threat analysis
Full Job Description
Job Description

ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED

In this role, you won't just run automated tools-you will dive under the hood to dissect complex, malicious binaries through static and dynamic analysis. You'll unravel intricate code structures, uncover hidden functionality, and extract actionable Indicators of Compromise (IOCs) to power threat detection and mitigation strategies across the enterprise. If you love solving messy technical puzzles, staying ahead of sophisticated adversaries, and bringing your creative, authentic self to solve tough mission problems, Team Nyla wants you on the front lines with us!

The annual base salary range for this role is $171,000-$202,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

Required Skills

  • Reverse Engineering Mastery: Hands-on experience reverse engineering complex malware binaries using disassemblers and decompilers (e.g., IDA Pro, Ghidra, Binary Ninja).
  • Deep Technical & Binary Analysis: Demonstrated capability in analyzing malicious binaries to determine functionality, system impact, and underlying evasion mechanisms.
  • Indicator Extraction & Threat Detection: Proven ability to identify, extract, and document Indicators of Compromise (IOCs) and translate findings into effective detection rules (e.g., YARA, Snort, Sigma) and mitigation strategies.
  • Malware Analysis Methodologies: Experience applying both static analysis (code analysis, headers, imports) and dynamic analysis (debugging, sandboxing, behavioral observation).


Education: Bachelor's Degree in Computer Science, Computer Engineering, Cyber Security, or a related technical discipline, PLUS 7+ years of professional experience in reverse engineering, malware analysis, or software development OR Master's Degree in a related field, PLUS 5+ years of specialized technical experience OR High School Diploma / GED, PLUS 11+ years of relevant hands-on experience in reverse engineering and low-level code analysis in lieu of a degree.

Desired Skills

Signature Creation: Experience crafting custom YARA rules or SNORT signatures based on binary findings.

Scripting & Automation: Proficiency with Python or C/C++ to build custom plugins, automate routine triage, or unpack payloads.

Network Protocol Dissection: Experience analyzing packet captures (PCAP) to correlate binary execution with network traffic patterns.

OS Internals: Deep understanding of OS API calls, process execution models, and memory management mechanics.

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