As a Senior Software Engineer specializing in Rust, you will play a key role in developing high-performance software that powers advanced cybersecurity and data science applications. You will collaborate closely with multidisciplinary teams, including machine learning experts, to implement robust features, file parsers, and APIs for internal and external use. This role offers the opportunity to work on challenging problems at the intersection of Big Data, AI, and security, while contributing to software architecture, code quality, and innovative solutions. You will be responsible for leading complex feature development, conducting code reviews, and ensuring reliability across platforms such as Windows, macOS, and Linux. The position requires strong analytical skills, independence, and a willingness to adopt new technologies. Your work will have a direct impact on the efficiency and security of critical software systems.

Accountabilities

Develop and maintain file format parsing and feature extraction engines
Implement, test, optimize, and maintain software features in the form of libraries and SDKs
Collaborate with data scientists to engineer new machine learning features
Document software designs and conduct thorough, constructive code reviews
Expose simple APIs to deliver robust services to internal and external customers
Perform reverse engineering, malware analysis, and integration testing for complex systems
Contribute to cross-platform development on Windows, macOS, and Linux environments

Requirements

12+ years of professional experience in software development, including Rust, C, C++, and Python
Expertise in file formats such as PE, ELF, Mach-O, MS Office, ZIP, and packers
Experience with reverse engineering, feature engineering, and security-related software development
Proficiency with Git, Bitbucket, Jenkins, and Jira
Strong understanding of algorithms and software design for complex technical problems
Familiarity with continuous integration and continuous delivery (CI/CD) systems
Self-motivated, independent, and able to work in a fast-paced environment
Strong communication and collaboration skills for working with multidisciplinary teams

Bonus Skills:

Experience with fuzzing tools (e.g., Jazzer, AFL, Peach)
Knowledge of software vulnerabilities and secure programming practices
Familiarity with cloud platforms (AWS, GCP, Azure)
Interest in machine learning and AI applications

Benefits

Competitive salary and equity options
Flexible and remote work culture
Paid time off, including birthday leave, and retirement savings plans where applicable
Opportunities for professional development, workshops, and tech talks
Mentorship and guidance from experienced team members
Participation in wellness, community engagement, and employee resource programs
Work on impactful projects at the intersection of security, AI, and big data
Certified Great Place to Work™ environment

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 assessments) are then made by their internal hiring team.

Thank you for your interest!