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We are looking for an excellent highly motivated Senior SW Verification Engineer with experience in embedded software development to join the software testing team in the Data Processing Unit (DPU) SW Group. We are looking for a candidate with a strong quality-oriented mindset, the ability to thrive in an environment with complex software and hardware designs, and a passion for deep-dive verification of key DPU components. The role includes working closely with HW, FW, and SW teams all over the world, and take our product to next level.
What youll be doing:
Design and implement comprehensive verification plans and automated environments, using Python, to validate high-end hardware and software which is at the forefront of innovation
Lead end-to-end feature validation, from architectural review to final system integration, ensuring robust HW-SW interoperability
Identify, analyze, and report software defects, inconsistencies, and other quality issues
Make better product quality by improving tests coverage
Take an active part in development, integration and verification with R&D
Drive improvements for performance, quality, stability around SW acceleration solutions
Stay up to date with industry best practices, new technologies, and emerging trends in software verification.

We are looking for a highly motivated, service‑oriented student to join our IT Services team. The role reports to the IT Services APAC Team Leader. This position is a great fit for students or junior candidates who are curious, service‑oriented, and eager to gain hands‑on IT experience, even without prior formal experience in the field.
Position Details:
Part‑time position - minimum of 3 working days per week
Approximately 27 hours per week
On‑site role only
Responsibilities:
Support employee onboarding, including setting up laptops, user accounts, software, and peripherals
Provide end‑user IT support and troubleshooting
Handle IT requests through a ticketing system and provide on‑site support
Diagnose and resolve basic hardware, software, operating system, and connectivity issues
Assist with IT documentation, workflows, and internal guides
Maintain office IT equipment and meeting room setups
Help manage and track IT inventory

We are looking for a Full Stack Developer to join our fast-growing team. You will report to the Full Stack Team Leader and play a key role in contributing to our teams ongoing success and growth.
Responsibilities :
Design, develop, and maintain high-performance web applications using React and TypeScript, incorporating advanced AI features into the user experience.
Building and optimizing robust backend APIs to support payment workflows, including multi-agent state management and LLM lifecycle governance.
Collaborate cross-functionally with product managers, architects, DevOps, and UX/UI designers to translate business requirements into comprehensive, scalable solutions.
Drive development efficiency by leveraging AI-assisted tools to improve code velocity, consistency, and overall system reliability.

We are looking for a customer-oriented and patient QA Engineer to join our fast-growing QA team. Reporting to our QA Team Leader, you will be supporting the team on all aspects of the quality of the development project.
Responsibilities:
Design, create, and execute manual test plans
Work closely with the developers and product team
Understanding the business and technical requirements of existing and new products
Conduct root cause analysis of identified bugs, providing required information to understand, replicate, and resolve them
Manage bug tracking and resolution processes so that a consistent and documented process is used and followed
Deliver a high-quality product within defined timelines
Assisting in overseeing problematic areas, underestimated risks, scopes, and bottlenecks.

We are looking for an OCC Monitoring Specialist to join our fast-growing OCC Monitoring team. Reporting to our OCC Monitoring Team Leader, you will be responsible for monitoring the infrastructure, applications, and business aspects of the company. We provide the opportunity to become acquainted with the inner workings of the exciting world of Fintech and online payments. Many of our OCC Monitoring Specialists have been promoted internally and integrated into development, DevOps, and product teams.
This position doesn't include a hybrid mode; it only involves working from the office.
We work in 24/7 shifts: 08:00 to 17:00, 17:00 to 00:00, 00:00 to 08:00, including weekends and holidays.
Responsibilities:
Responding to events and various technical problems in real-time
Monitoring and liaising activities of the production environment, maintaining the company's monitoring systems, network, business transactions reports, and data analysis regularly
Tracking the events until problems are resolved, contacting the relevant parties in the organisation as needed
Data analysis and fault investigations

We are looking for best-in-class Physical Design Engineers to join our outstanding Networking Silicon engineering team, developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency! Come and take a part in designing our groundbreaking and innovating chips, enjoy working in a meaningful, growing and highly professional environment where you make a significant impact in a technology-focused company.
What you'll be doing:
Physical design of blocks according to specifications under challenging constraints targeting for the best power, area, and performance.
Be exposed and work on a variety of challenging designs (including high cell count and HS blocks). Resolving complex timing and congestion problems.
Daily work involves all aspects of physical design chip development (RTL2GDS) - synthesis, power and clock distribution, place and route, timing closure, power and noise analysis, and physical verification.
Taking part in flows development.

We are looking for a Software Automation QA Engineer to join our Storage team. This position will be part of the QA team while the main goal is to test the Storage and Networking area, which enables our products to meet the industry-leading benchmarks of efficiency and quality. The ideal candidate will engage in testing of Storage and Networking drivers, be able to learn new features, execute manual and automated tests.
What you'll be doing:
Review arch design and requirements for new features
Design and execute tests for the new features, as part of software GA releases
Report bugs found during execution, assist with reproduction and debugs to understand root cause, verify bug fixes provided by the R&D team, raise if not fixed
Execute tests in different scopes: regression, performance, functional, security. report the progress of testing and provide summary reports of testing activity
Define and build setups topologies for appropriate product coverage
Writing automation infrastructure in multiple frameworks (Python, Perl). Developing sophisticated, stable, automation frameworks to increase efficiency, re-usability, and flexibility. Enhancements & maintenance of each framework.
Schedule test runs, publish reports and analysis with detailed and specific bug reports for failures.

We are looking for a Senior Data Engineer to join the NSV (Network Solutions Validation) group. NSV builds high-performing software automation for our Data Center environments and helps drive the data growth of the world's biggest companies. In this role, you will design, build, and maintain scalable, high-performance data pipelines that handle massive volumes of data from hardware, communication modules, firmware, and large-scale AI and HPC clusters. You'll also contribute to our growing Agentic AI initiatives, helping develop AI Agents that bring our data capabilities to the next level.
What you'll be doing:
Define and execute the group's data technical roadmap, aligning with Infra, DevOps, and Performance teams
Design and maintain flexible ETL/ELT frameworks for ingesting, transforming, and classifying cluster verification and telemetry data
Build and optimize streaming pipelines using Apache Spark, Kafka, and Databricks, ensuring high throughput, reliability, and adaptability to evolving data schemas
Ensure data quality and pipeline health through observability standards, schema validation, lineage tracking, monitoring, and alerting
Deliver reliable insights for cluster performance analysis, telemetry visibility, and end-to-end test coverage
Support self-service analytics for engineers and researchers via Databricks notebooks, APIs, and datasets
Drive best practices in data modeling, code quality, and operational excellence; collaborate with cross-functional teams to support data-driven decision-making
Contribute to the development of AI Agents that enhance the visibility and accessibility of insights and data for our users.

We are looking for an excellent Firmware Verification Engineer for our FW PHY verification Group. The person will be part of FW PHY verification of our Products. Will closely work with our FW PHY development, architecture teams and gain deep understanding of our products and technologies.
What you'll be doing:
Own the responsibility for delivering Networking features and their verification aspects.
Define, develop and maintain verification infrastructure and regression tests suites - make test suites robust, maintainable and easy portable.
Work with continuous integration system, regression tools, automate builds, run test suites and analyzing results.
Innovate! Bring our product to next quality level.

we are seeking an experienced and visionary Data Science Team Lead to join our dynamic technology organization.
The successful candidate will lead a team of talented data scientists, driving innovation and delivering business value through advanced machine learning techniques and Generative AI solutions.
This role requires a strategic thinker with hands-on expertise in both traditional and cutting-edge data science methodologies, exceptional leadership skills, and a passion for continuous learning and development.
Responsibilities:
Lead, mentor, and develop a team of data scientists both methodologically and technically to deliver high-impact projects aligned with business objectives.
Design, implement, and optimize classic machine learning models to solve complex business problems.
Apply gradient boosting techniques (e.g., XGBoost, LightGBM, CatBoost) to enhance predictive accuracy and model robustness.
Drive the exploration and integration of Generative AI applications, including Large Language Models (LLMs) to create innovative solutions for products and services.
Collaborate with cross-functional teams (engineering, product, business) to translate business requirements into actionable data science projects.
Establish best practices for model development, validation, deployment, and monitoring in production environments.
Promote a data-driven culture, encouraging experimentation, sharing of knowledge, and adoption of state-of-the-art technologies.
Communicate project progress, insights, and results to stakeholders at all levels of the organization.

We are always looking for exceptional talent to join us on the journey!
We are always looking for exceptional talent to join us on the journey!


Your Mission

As an MLOps Engineer at Nuvei, your mission is to design, build, and operate the platforms that power our machine learning and generative AI products spanning real-time use cases such as large-scale fraud scoring, MCP & agentic workflows support. Youll create reliable CI/CD for models and Agents, robust data/feature pipelines, secure model serving, and comprehensive observability. You will also support our agentic AI ecosystem and Model Context Protocol (MCP) services so that models can safely use tools, data, and actions across .
You will partner closely with Data Scientists, Data/Platform Engineers, Product, and SRE to ensure every model from classic ML to LLM/RAG agents moves from prototype to production with strong reliability, governance, cost efficiency, and measurable business impact.
Responsibilities:
Operate & Develop ML/LLM platforms on Kubernetes + cloud (Azure; AWS/GCP ok) with Docker, Terraform, and other relevant tools
Manage object storage, GPUs, and autoscaling for training & low-latency model serving
Manage cloud environment, networking, service mesh, secrets, and policies to meet PCI-DSS and data-residency requirements
Build end-to-end CI/CD for models/agents/MCP tooling (versioning, tests, approvals)
Deliver real-time fraud/risk scoring & agent signals under strict latency SLOs.
Maintain MCP servers/clients: tool/resource definitions, versioning, quotas, isolation, access controls
Integrate agents with microservices, event streams, and rule engines; provide SLAs, tracing, and on-call runbooks
Measure operational metrics of ML/LLM (latency, throughput, cost, tokens, tool success, safety events)
Enforce governance: RBAC/ABAC, row-level security, encryption, PII/secrets management, audit trails.
Partner with DS on packaging (wheels/conda/containers), feature contracts, and reproducible experiments.
lead incident response and post-mortems.
Drive FinOps: right-sizing, GPU utilization, batching/caching, budget alerts.

We are looking for a Product Data Director to lead our global product data strategy and governance. In this role, you will own the vision, implementation, and continuous improvement of how data is captured, structured, and leveraged across product ecosystem. Youll partner closely with Product, Engineering, BI, and Operations teams to ensure data excellence, enable data-driven decision-making, and unlock insights that enhance our products, customer experience, and business growth.
Responsibilities:
Develop and execute a comprehensive product data strategy aligned with business goals.
Define and own data standards, taxonomy, and governance frameworks across all product lines.
Partner with Product, BI, and Engineering to design scalable data models and infrastructure supporting product analytics, reporting, and performance tracking.
Lead a cross-functional data excellence initiative, ensuring high-quality, accurate, and consistent data.
Work with product managers to embed data-driven decision-making in product planning, experimentation, and optimization processes.
Oversee the implementation of data instrumentation and tracking for new product launches.
Collaborate with the Analytics and Data Engineering teams to ensure data availability and reliability across systems.

We are looking for a .NET developer to join our fast-growing Acquiring dev team. You will report to the ACQ Integration Team Leader and play a key role in enhancing the Acquiring system by developing innovative new features, contributing to our teams ongoing success and growth.
Responsibilities :
Participate in all aspects of software development, including designing, hands-on coding, implementing, debugging, deployment, and troubleshooting
Accountable for overseeing the complete lifecycle of new product features and components from inception to deployment
Provide mentorship for other team members
Conduct code reviews
Be a source of knowledge for the team members regarding the technical and business aspects of the daily work
Assist the team leader in any way that is required, including leading feature development and providing guidance for other team members
Define and enforce coding standards

we are seeking an experienced and visionary Data Scientist to join our dynamic technology organization. The successful candidate will be a part of a team of talented data scientists, driving innovation and delivering business value through advanced machine learning techniques and Generative AI solutions. This role requires a strategic thinker with hands-on expertise in both traditional and cutting-edge data science methodologies, and a passion for continuous learning and development.
Responsibilities:
Gradient boosting techniques (e.g., XGBoost, LightGBM, CatBoost) are used to enhance predictive accuracy and model robustness.
Drive the exploration and integration of Generative AI applications, including Large Language Models (LLMs), to create innovative solutions for products and services.
Collaborate with cross-functional teams (engineering, product, business) to translate business requirements into actionable data science projects.
Establish best practices for model development, validation, deployment, and monitoring in production environments.
Promote a data-driven culture, encouraging experimentation, sharing of knowledge, and adoption of state-of-the-art technologies.
Communicate project progress, insights, and results to stakeholders at all levels of the organization. Design, implement, and optimize classic machine learning models to solve complex business problems.

About the Position Alice is seeking an experienced Head of Cyber Operations to drive our Android malware research operation. The role reports to the Group Manager of Cyber Operations and combines project planning and delivery, day-to-day coordination across research and development teams, and direct communication with clients on active engagements. The 5 team leaders running the operation report to the Group Manager. This role partners closely with them and with the Group Manager, and steps in to cover management responsibilities when the Group Manager is unavailable. We're looking for an experienced operator with a strong analytical background who can work with technical teams, support team leaders day-to-day, and engage with business stakeholders. Key Responsibilities Operational delivery
* Plan, manage, and deliver malware research and development projects end-to-end, covering scope, timelines, milestones, risk management, and stakeholder communication.
* Coordinate across research, development, and product teams to ensure smooth execution and clear handoffs.
* Refine operational processes, workflows, and quality standards for research delivery.
* Track new employee onboarding and ramp-up progress on active projects. Team leader partnership
* Work closely with the 5 team leaders on day-to-day execution, blockers, and delivery planning.
* Cover for the Group Manager on management matters when the Group Manager is unavailable, including approvals, escalations, and operational decisions.
* Support team leaders in process adoption, prioritization, and operational improvements. Analytics & performance
* Work with SQL and statistical analysis to measure project performance, throughput, and quality.
* Partner with team leaders to track delivery metrics and identify where the team needs support.
* Track employee performance against defined metrics and surface insights to team leaders and the Group Manager. Client engagement
* Serve as the primary day-to-day point of contact for clients on active engagements, managing expectations, progress updates, and deliverable reviews.
* Partner with the Group Manager, who owns the overall client relationship, providing operational visibility and supporting strategic conversations.
* Present project status and research outcomes to clients and internal stakeholders.

About Alice:
Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact—whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection.