Lookout Logo

Lookout

Staff Backend Software Engineer (Java/Scala)

Posted 19 Days Ago
Be an Early Applicant
Easy Apply
Remote
Hiring Remotely in Canada
Senior level
Easy Apply
Remote
Hiring Remotely in Canada
Senior level
Build and maintain massively scalable backend systems for mobile security analysis. Design distributed cloud services, enable app processing and detection engines, collaborate with security research and ML teams, and drive features from conception to production.
The summary above was generated by AI

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

Top Skills

Scala,Java,Ruby,Jvm,Ios,Android,Tinkerpop,Elasticsearch,Aws,Gcp,Graph Databases,Sql,Nosql

Similar Jobs

51 Minutes Ago
Remote or Hybrid
Woodbridge, ON, CAN
Internship
Internship
Automotive • Hardware • Robotics • Software • Transportation • Manufacturing
Assist the Quality department by performing inspections, producing reports, and supporting quality initiatives within the automotive industry.
Top Skills: Cmm MeasurementsGd&TMS OfficeSpc
2 Hours Ago
Remote or Hybrid
3 Locations
Senior level
Senior level
Cloud • Insurance • Payments • Software • Business Intelligence • App development • Big Data Analytics
The Bilingual Implementation Business Consultant assists agencies in transitioning operational workflows into Applied Epic while optimizing policy lifecycle management and ensuring effective customer support and project delivery.
Top Skills: Agency Management SoftwareApplied Epic
6 Hours Ago
In-Office or Remote
Richmond, BC, CAN
Mid level
Mid level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Design, develop, deploy, and operate cloud-native, containerized services. Write scalable, testable code, contribute to architecture and technical direction, mentor teammates, collaborate across teams, and participate in on-call rotation to support production.
Top Skills: .NetAzure)C#Ci/CdContainerized ApplicationsGCPMicroservicesNginxNosql (Couchbase)Public Cloud (AwsUnit Testing

What you need to know about the Montreal Tech Scene

With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.

Key Facts About Montreal Tech

  • Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
  • Major Tech Employers: SAP, Google, Microsoft, Cisco
  • Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
  • Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
  • Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
  • Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account