דרושים » אינטרנט ודיגיטל » Malware Researcher (Mid-Level)

We are seeking an experienced Malware Research Team Leader to build, manage, and mentor a team dedicated to malware research and review. This role presents an exciting opportunity to establish a high-performing team from scratch, providing comprehensive training, guidance, and leadership while ensuring high-quality deliveables.
The position balances managerial responsibilities with hands-on technical work (approximately 50% each). The ideal candidate demonstrates a positive, proactive attitude and excels as a reliable team player.
Key Responsibilities: (Onsite, Full-Time Position)
Recruit, mentor, and manage a team of malware researchers
Detect and document emerging malware trends
Regularly share knowledge with team members and collaborate across departments
Evaluate and enhance team accuracy and performance
Continuously improve malware analysis and review processes
Conduct in-depth malware research
Write detection rules and develop automation processes for malware identification at scale

We are seeking candidates with quantitative portfolio management experience and intimate knowledge of systematic strategies
Job Responsibilities (include, but not limited to the following)

Develop systematic strategies that use statistical signals associated with various market inefficiencies applied to a broad variety of asset classes including global equities and/or ETFs, futures
Lead, manage and grow quantitative investment portfolio
Contribute to broader firm research and strategic initiatives

We are seeking a highly skilled Senior Automation Infrastructure Engineer to join our quality engineering team and drive innovation in our automation infrastructure. This role is ideal for an experienced engineer passionate about building scalable, robust test frameworks and infrastructure that empower automation and development teams to deliver high-quality products efficiently.

As a Senior Automation Infrastructure Engineer, you will play a key role in developing and maintaining the core components of our automation ecosystem. You will collaborate with automation engineers, developers, DevOps, and QA to design and enhance infrastructure for comprehensive end-to-end, component, API, and UI testing. Your work will enable teams to accelerate their testing cycles through reliable and efficient tooling.

This is a hands-on engineering role with significant ownership and impact across multiple teams and services.

Your Role & Impact:

Design, build, and maintain scalable automation infrastructure and tools for E2E, API, UI, and component testing.

Develop and extend automation services using Python and BDD-based frameworks.

Collaborate closely with QA, DevOps, and development teams to integrate test infrastructure into CI/CD pipelines.

Identify and implement improvements in test stability, performance, and developer experience.

Build and maintain test utilities for reporting, debugging, and failure triage (e.g., log collection, dashboards).

Investigate test infrastructure issues, identify root causes, and drive resolutions to improve reliability.

Ensure infrastructure and tools support test execution across environments (e.g., Dockerized, cloud-native deployments).

Contribute to documentation, best practices, and knowledge sharing across teams.

eTeacher Group is an EdTech pioneer and innovator that has been on the cutting edge of educational technology since its foundation. Today our company has grown to over 800 employees while we deliver high quality live courses to over 50,000 students a year on our online Learning Platform. Our strategy is to continue on our path of innovation to deliver personalized, outcome focused learning experiences, by leveraging AI technology and advanced teaching methodologies. We are looking for an outstanding QA Lead to drive the quality strategy for our educational apps. You’ll define testing standards, lead QA across products, and ensure top-quality releases. Working in an Agile/Scrum setup, you’ll collaborate with Product and Dev teams to deliver smooth, user-friendly learning solutions—while setting QA guidelines, enforcing processes, and leading continuous improvement. Responsibilities include: QA Strategy: Define and implement QA standards and test plans across projects. Test Execution: Lead manual and automated testing (functional, regression, exploratory, performance, security, integration). Automation Leadership: Build and maintain automated test frameworks (e.g., Selenium), integrate with CI pipelines, and mentor team on automation best practices. Collaboration & Shift-Left: Work closely with Product and Engineering teams to embed QA early, review requirements, and enforce quality gates in CI/CD. Metrics & Reporting: Track QA metrics (e.g., coverage, defect rates), share reports and dashboards with leadership. Team Leadership & Mentoring: Manage and mentor QA engineers, review work, and lead training. Process Improvement: Continuously enhance QA tools, processes, and stay updated on industry trends. Hands-On Contribution: Contribute directly when needed—writing tests, debugging, or executing complex test This is a full-time remote position.

We are looking for a DevOps Engineer to join our expanding team, responsible for cloud technologies, software development life cycle processes, and 24/7/365 production reliability. You will be promoting DevOps practices and collaborating in an engineering environment, where you will work closely with software architects, developers, and support engineers, to provide solutions to enable innovation and support our customers. What you’ll do: Identify, integrate, and adapt new cloud technologies to meet evolving needs Ensure high availability, reliability, and performance of Earnix’ services Develop and maintain CI/CD pipelines, tools, and processes Build and manage the Earnix platform and automation using Infrastructure as Code (IaC) principles Troubleshoot and resolve issues across development, testing, and production environments Document infrastructure, processes, and configurations for knowledge sharing and future reference

Position Intro:
Earnix is the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. Earnix has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.

we are seeking an exceptional individual to join the firm as a Quantitative Researcher. The person must have a strong understanding of the investment research process to create computer-based models that seek to predict movements of global financial markets. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Candidates will have a research scientist mind-set; be a self-starter, a creative and persevering deep problem solver who is motivated by unsolved challenges.

Job Responsibilities (including, But Not Limited To, The Following)

Building algorithmic, computer-driven models
Conducting research on academic quantitative finance literature
Exploring and handling data
Applying an alignment of innovative methods in Applied Mathematics, Computer Science and Financial Economics.

We are looking for a skilled and motivated Engineering Tech Lead to join our Data Science Engineering team. The ideal candidate will have a deep understanding of software development and the ability to guide technical solutions. This role requires a combination of technical expertise, strong problem-solving skills, and the ability to collaborate effectively with cross-functional teams. As an Engineering Tech Lead, you will play a crucial role in exploring and investigating solutions and technologies, contributing to technological and architectural decisions with a hands-on approach.

What Youll Do:

Develop and maintain software infrastructure and solutions to support the efficient development, deployment, and maintenance of machine learning models and our surveillance pipe solution in production.
Collaborate with data scientists, engineers, and subject matter experts to deliver high-quality, production-ready machine learning models and a fully integrated scalable solution.
Design and implement software architecture for machine learning solutions.
Work with containerized environments such as Kubernetes and Docker.
Utilize AWS for cloud-based machine learning solutions.
Conduct unit testing and ensure continuous integration and continuous deployment (CI/CD) practices are followed.
Work in a production environment and closely with data science teams to ensure seamless model deployment and maintenance.
Stay updated with the latest advancements in machine learning, software development, and related technologies.

We are looking for a DevOps Engineer to join our expanding team, responsible for cloud technologies, software development life cycle processes, and 24/7/365 production reliability. You will be promoting DevOps practices and collaborating in an engineering environment, where you will work closely with software architects, developers, and support engineers, to provide solutions to enable innovation and support our customers.
What youll do:
Identify, integrate, and adapt new cloud technologies to meet evolving needs
Ensure high availability, reliability, and performance of our company services
Develop and maintain CI/CD pipelines, tools, and processes
Build and manage the company's platform and automation using Infrastructure as Code (IaC) principles
Troubleshoot and resolve issues across development, testing, and production environments
Document infrastructure, processes, and configurations for knowledge sharing and future reference.