Lookout, Inc. is a globally recognized cybersecurity leader delivering advanced protection for the most vulnerable element of any enterprise security strategy — human error and manipulation. Cloud-native by design, the Lookout platform offers rapid, scalable deployment and simplified security operations, defending the frontline of human-centric attacks—the mobile device.
Attackers now target the human element more than ever, with mobile devices providing the most direct path to their victims. Using social engineering techniques that exploit basic human instincts like trust, curiosity, and urgency, they deceive users into revealing sensitive credentials, allowing them to slip past legacy security solutions.
Lookout Endpoint Detection and Response (EDR) continuously monitors mobile endpoints for signs of human-centric attacks, as well as traditional malware, software vulnerabilities, and other anomalous activity. It uses advanced threat detection techniques, including artificial intelligence (AI) and behavioral analysis, to identify threats before they escalate across the enterprise.
Learn more at www.lookout.com and follow us on the Lookout Blog, LinkedIn, and X.This posting is for an existing vacancy. We are actively recruiting to fill this position immediately.
As a Software Engineer on the Security Intelligence team, you will contribute broadly to the detection engines, analysis systems, and other core intellectual property at Lookout. This position is an opportunity to take on some of the most interesting challenges in the company and join the team that provides the fundamental technological building blocks of the Security Platform that underlies Lookout’s category-defining personal and enterprise products. Lookout’s Security Platform is capable of analyzing millions of apps on a daily basis. Our analysis is trusted by Google to help identify potentially harmful applications before they enter the Play Store and by the world’s leading telecommunications providers to protect their customers. These are challenging problems and you must be open-minded to tackling new exploratory areas as well as evolving and continually improving key existing systems. You may be called on to work in high scale cloud systems, or directly on mobile platforms.
We're looking for a motivated engineers who has experience building, monitoring, and maintaining high-volume, low-latency distributed SaaS solutions. You will be a member of the team that is responsible for a massively scalable platform that performs static analysis of iOS and Android applications, applying behavioral and malware detection policy.
In this role, you will work closely with Lookout’s security research, data ingestion, and machine learning teams to:
enable threat hunting for state level security actors and their infrastructure.
support processing of continuously acquired Android and iOS applications.
identify components and functionality of mobile applications that can be used to determine their behavior and evaluate possible privacy risks.
invent new app analysis techniques, engines, and domain specific languages.
participate in hackathons and innovation fairs.
Requirements for this position:
A strong motivation for self-directed learning, while collaborating with experts across Lookout engineering teams, to take on challenges in areas such as:
Scalable distributed systems design.
Reverse engineering of mobile applications and runtimes.
Mobile devices and platforms.
ML based data analysis support.
Experience designing/implementing large-scale, distributed, production class software on public cloud platforms such as AWS and GCP.
Strong software engineering fundamentals: object-oriented design, data structures, and algorithms.
Functional programming experience is highly desired.
Desire and ability to work across platforms and languages.
A quality-oriented mindset with a strong commitment to automated testing, metrics collection, monitoring, and continuous improvement in all of your work.
Ability to drive features from conception to deployment in an agile team with continual delivery.
8+ years of overall development experience.
BS degree in Computer Science or similar Engineering discipline, or equivalent work experience.
Technologies that you will have an opportunity to work with:
Primarily Scala, with some Java, and occasionally Ruby (in JVM).
iOS, Android, and their respective development toolchains.
Graph, SQL, and NoSQL databases including TinkerPop, ElasticSearch, and others.
AWS and GCP primitives and distributed technologies.
The Canadian base salary range for this full-time position is available below. We offer base + bonus + equity + benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all Canadian locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in Canadian role postings reflect the base salary only, and do not include bonus, equity, or benefits.
Remote, Canada$130,000—$170,000 CAD