Role Description RBC is seeking to hire Sr. Software Development Engineer in Test (Sr. SDET) for RBC Caribbean technology for Core Banking and Specialized applications, who will be responsible for QE and automation processes, methodologies, and test strategy improvements. You will be accountable for driving quality by leveraging automation to improve quality through early defect detection. - Accountable for driving test automation framework development and automated test case creation and execution, maximizing automation for all project deliverables and common quality activities. - Responsible for developing and executing automated test plans for ecosystem/program/large projects (might assume planning execution accountability). - Accountable for driving quality and champion defect prevention/early defect detection. - Use AI driven testing approaches including intelligent test generation and predictive defect analysis. - Accountable for guiding a team of SDETs in Automation to provide the best support and automation for our test activities in projects/programs. - Create Test Suite, Traceability matrix etc. and provide support on test suite walkthrough with different teams. - Develop and maintain existing applications automation scripts for test activities and aligning to RBC Quality Engineering practices while partnering across IT and with assigned business lines to plan functional and non-functional testing activities. Qualifications - Computer Engineering, Computer Science or related (technical) degree / diploma. - 7+ years of proven experience in design and development of test automation infrastructure and automation scripts for large enterprises. - Deep technical knowledge of Python, JavaScript, Java, BDD, Playwright, Cucumber, RestAssured, Robot Framework, TestNG, Microservices and APIs, build tools such as Maven/Gradle and Source Code Management tool such as Git and GitHub. - Banking functionality knowledge. - Experience in test case design and automation at different levels (component/service/APIs, integration, mobile, end to end/user scenarios) and non-functional testing (performance testing, security testing). Requirements - Certified ISTQBE Test Automation Engineering (Nice-to-have). - Experience as a developer (Nice-to-have). - Experience in testing IBM iSeries Applications, Web Applications and File validations with proven knowledge of API and Database testing and test automation and rich experience in different types of testing (Nice-to-have). - Experience with cloud solutions such as ELK and Kafka and frameworks such as Spring (Nice-to-have). Benefits - A comprehensive Total Rewards Program including bonuses and flexible benefits. - Leaders who support your development through coaching and managing opportunities. - Ability to make a difference and lasting impact. - Work in a dynamic, collaborative, progressive, and high-performing team. - Opportunities to do challenging work. - Access to world-class training.

Role Description We are looking for a Research Engineer, Agentic Retrieval . You'll work at the seam between agent systems research and retrieval engineering, running a tight loop between hypothesis, experiment, and shipped artifact. - Chase questions about agent memory structure, re-querying versus reasoning, skill and tool retrieval, and defining success in multi-step trajectories. - Investigate how real agent stacks use Qdrant today and identify areas for improvement. - Maintain awareness of the fast-moving agent ecosystem. - Every cycle should produce actionable insights for the field, customers, or the company. What you will own - Define what good agentic retrieval looks like. - Characterize retrieval patterns inside real agent loops and develop a vocabulary for the team and field. - Treat agent memory as a systems problem, focusing on episodic, semantic, and procedural memory. - Investigate skill and tool retrieval as a first-class problem. - Design and run experiments on retrieval inside agent loops. - Build evaluation infrastructure for agentic retrieval. - Profile agent retrieval traces end to end. - Study how real agent stacks use Qdrant in production. - Pair with design-partner teams to incorporate real constraints into research priorities. - Influence the roadmap by translating evidence into product bets. Qualifications - You read and reason about LLM behavior directly. - You treat memory as a systems design problem. - You understand tool and skill systems as retrieval problems. - You have a working theory of context engineering. - You build evals before features. - You know vector search internals at a decent level. - You write precisely. Nice to have - Contributions to agent stacks, skill systems, MCP servers, RAG tooling, or eval harnesses. - Experience designing agent benchmarks or running them at scale. - Familiarity with Qdrant or comparable vector search systems under production agent traffic. - Track record working with design-partner customers or open-source community contributors. Benefits - A remote-first, international team working on cutting-edge AI infrastructure. - A competitive salary with additional perks. - Flexible working hours and async-friendly culture. - High ownership and real impact. - Open-source, engineering-driven culture. - Choose your own laptop equipment. - For US-based candidates, a comprehensive benefits package including 401k match, health, dental, and vision insurance, plus flexible PTO policy. Company Description Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations. Trusted by global leaders like Canva, HubSpot, Tripadvisor, Bosch, and Deutsche Telekom, we’re building the retrieval infrastructure layer for modern AI. Recently raising $50M in Series B funding, we are growing rapidly and committed to transforming how AI understands and interacts with data. As a remote-first company, we believe diverse backgrounds, perspectives, and experiences fuel innovation. Here, you’ll own meaningful work, tackle challenges, and grow alongside passionate individuals dedicated to shaping the future of AI.

Role Description As Research & Model Intelligence Lead, you'll take full ownership of the systems and science that power our edge — from model research and fine-tuning to inference optimization, evaluation frameworks, and the AI agent intelligence layer. You will be expected to lead a team that builds, evaluates, and deploys models that support our investment activities. This is a senior role with real leadership weight. You'll lead a team of ML engineers, NLP specialists, and quantitative researchers — setting research direction, running evaluation cycles end-to-end, and ensuring that model improvements translate to trading performance. You'll partner tightly with traders, strategists, and platform engineers. We're looking for an AI-native, agentic engineer-researcher: someone who instinctively uses LLMs and modern tooling to accelerate experimentation, evaluation, and iteration — and teaches their team to do the same. You create leverage through models, people, and rigorous evaluation. What You'll Do - Own the research and model intelligence domain - Take end-to-end ownership of the systems that generate, evaluate, and serve our trading intelligence — including fine-tuned LLMs, prompt engineering pipelines, NLP signal extraction, agent architectures, and evaluation infrastructure. - Lead and scale a team - Act as a true people leader: set research direction, coach performance, run planning, and create clarity across a team spanning ML engineering, NLP, quantitative research, and agent development. - Bridge research and production - Turn model improvements into deployed trading performance. Own the full pipeline from hypothesis through evaluation to production serving — keeping it fast, reliable, and measurable. - Partner with senior stakeholders - Work directly with trading strategists, execution engineers, and platform leads. Translate trading needs into research priorities and keep everyone aligned as strategies evolve. - Build with an AI-first mindset - Use LLMs and agentic workflows to accelerate research processes — including experiment design, evaluation automation, literature synthesis, and knowledge management. - Architect for inference quality and speed - Design model serving, evaluation, and agent orchestration systems that are observable, reproducible, and optimized for performance. Own tradeoffs between model capability and serving performance. - Set the standard - Define how the team designs experiments, evaluates results, reviews model performance, and ships to production — both scientifically and operationally. Qualifications - Strong people leader with experience running technical teams through real delivery - Systems thinker who understands the full lifecycle from research to production inference - Comfortable operating in ambiguity and bringing structure through experimentation - Strong project management instincts — able to sequence research bets and manage evaluation cycles - AI-native and scrappy — focused on leverage, automation, and modern tooling - Values rigor, measurable outcomes, and impact over complexity or consensus Requirements - Experience leading ML, NLP, or research teams shipping models in high-stakes or latency-sensitive environments - Ownership of evaluation and continuous monitoring systems for deployed models - Experience with LLM fine-tuning, prompt optimization, inference serving (quantization, multi-provider racing, GPU orchestration), or agent architectures - Strong applied ML or quantitative research background with a focus on production deployment - Curiosity, learning speed, and ownership mindset (financial markets experience not required) Nice to Have - Experience managing senior cross-functional stakeholders and driving alignment - Background in trading, finance, crypto, or similar domains with direct P&L impact - Familiarity with NLP for news or event-driven signal extraction - Ideally based within ±3 hours of EST Benefits - Base Salary + Benefits Package + Performance related bonus (TBD on %) Company Description Ant-tech is a reputable headhunter agency in France, specializing in providing high-quality recruitment services for companies across various industries. With a team of experienced professionals and an extensive network of partners, Ant-tech connects talented candidates with organizations in need, particularly in the technology, finance, and other sectors. Committed to delivering optimal recruitment solutions, Ant-tech focuses not only on finding the right talent but also ensuring long-term and sustainable growth for both candidates and partner companies.

Role Description The Intelligence Analyst Internship is fully remote and requires no travel. Your work location is the city/town/province you will be working from remotely. Interns are also invited to work out of the CrowdStrike office located closest to their remote location. The team you are applying to – the Applied Research Cell (ARC) — lives at the intersection between software engineering, malware analysis, and cyber threat intelligence connecting the two worlds of reverse engineering and forward engineering. To that extent we are working closely with different teams from the wider mission with the end-goal of tracking the most advanced threat actors and ultimately stopping breaches. ARC Interns will be assisted during the development of projects with well-defined deadlines. The goal is to approach the following topics: - Conducting and evaluating open source research on cyber threats. - Learning cyber security concepts and threat actor Tactics, Techniques and Procedures (TTPs). - Conducting research on predetermined malware families and learning about various triage techniques. - Developing tools and integrating them to high-scale malware processing pipelines. The internship will be scoped in a project to be completed during 12 weeks. Qualifications - Currently completing your penultimate year of University (2027 graduate) and be working towards a BA or BS / MA or MS degree in Computer Science, Computer Engineering, Math, Information Security, Information Assurance, Information Security Management, Intelligence Studies, Cybersecurity, Cybersecurity Policy, or a related field. - An eagerness to learn through hands-on experience and collaborative projects specific to your internship field. - Experience in malware research. - Experience with programming (Python, C or similar languages). Requirements - Although CrowdStrike is a primarily remote company, collaboration is intrinsic to the success of our mission. Therefore, the strongest applicants will be those who can communicate effectively and frequently, and work well with fellow interns and employees. Benefits - Market leader in compensation and equity awards. - Paid holidays (including birthday holidays) and 401k matching (where applicable). - Professional development opportunities including workshops, tech talks, and Executive Speaker Series. - Assigned mentors from across the company for continuous support and feedback. - Participation in companywide initiatives including FalconFIT, Wellness Programs, and Employee Assistance Program. - Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections. - Vibrant office culture with world class amenities. - Ownership of impactful projects that move the company forward. - Great Place to Work Certified™ across the globe. Company Description CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance.