As a Sr. Software Engineer specializing in Rust, you will join a multidisciplinary team working at the intersection of machine learning, big data, and cybersecurity. This role involves developing robust software libraries and SDKs, performing feature extraction and file format analysis, and collaborating closely with data scientists to create high-impact solutions. You will work across Windows, macOS, and Linux platforms, engaging in reverse engineering, malware analysis, and advanced software development. The role emphasizes independent ownership, innovative problem solving, and delivering scalable, secure, and efficient software solutions to internal and external stakeholders. It offers a remote-friendly environment and the opportunity to contribute to cutting-edge projects that directly influence product capabilities.

Accountabilities

Develop file format parsing and feature extraction engines for multiple operating systems and file types
Engineer new machine learning features in collaboration with data scientists, translating research into practical software solutions
Design, implement, test, optimize, and maintain libraries and SDKs for internal and external use
Document complex software designs and participate in constructive code reviews to maintain high-quality standards
Expose APIs and integrate robust services for broader usability and reliability
Conduct reverse engineering, malware analysis, and troubleshooting across different platforms
Collaborate with cross-functional teams to ensure seamless integration of software components and continuous improvement

Requirements

12+ years of professional experience in Rust, C, C++, and Python software development
Strong experience with file formats such as PE, ELF, Mach-O, MS Office, Zip, and packers
Reverse engineering expertise and ability to analyze complex software systems
Hands-on experience with unit testing, integration testing, and CI/CD pipelines (Git, Bitbucket, Jenkins)
Comfortable working across Windows, macOS, and Linux environments
Familiarity with algorithms and data structures for solving complex technical challenges
Independent, self-starter with strong problem-solving skills and a passion for learning new technologies
Excellent documentation, communication, and collaboration skills

Benefits

Experience with fuzzing tools such as Jazzer, AFL, or Peach
Knowledge of software vulnerabilities and secure coding practices
Familiarity with cloud platforms (AWS, GCP, Azure)
Interest or experience in applying machine learning in software solutions

Benefits

Flexible, remote-friendly work environment
Competitive compensation and equity opportunities
Paid time off, including birthday leave, and retirement contribution programs
Professional development opportunities, including workshops, technical presentations, and mentorship
Participation in Employee Resource Groups, wellness programs, and community initiatives
Engaging and dynamic workplace culture with global recognition as a Great Place to Work™
Opportunity to work on high-impact, innovative projects at the forefront of cybersecurity and data science

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience and achievements.

📊 It compares your profile to the job's core requirements and past success factors to determine your match score.

🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.

🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!