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Location: Amsterdam Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT: Design, build, and operate high-throughput distributed data systems that power quantitative research and production trading workflows. Develop production-grade Python services and pipelines to acquire, process, validate, and distribute large volumes of market and reference data. Build systems supporting both large-scale historical data processing and time-critical overnight pipelines on the path to trading. Design scalable processing architectures that partition work across QRT’s on-premises compute infrastructure and AWS. Build comprehensive observability and operational tooling to monitor data freshness, completeness, quality, and pipeline health. Collaborate closely with quantitative researchers, trading teams, software engineers, and infrastructure teams to onboard new datasets and improve research productivity. Take ownership of systems end-to-end, from architecture and implementation through deployment, production operation, and incident resolution. Your present skillset: 5+ years of experience building and operating production-grade data platforms, distributed systems, or large-scale data-processing applications. Strong Python software engineering experience, including the design of maintainable, tested, and performance-conscious production applications. Strong understanding of distributed processing concepts such as partitioning, parallelism, concurrency, fault tolerance, idempotency, and failure recovery. Experience designing systems that process large data volumes with demanding throughput or completion-time requirements. Hands-on experience with workflow orchestration technologies such as Apache Airflow. Experience with AWS services including S3, EC2, AWS Batch, IAM, CloudWatch, and cloud SDKs. Experience operating business-critical pipelines and diagnosing data, performance, and reliability issues in production. Excellent problem-solving skills and the ability to collaborate effectively across research, trading, engineering, and infrastructure teams. Nice to have: Experience building market-data platforms or other high-throughput financial data systems. Knowledge of non-equity asset classes such as futures, fixed income, commodities, or FX. Experience with time-sensitive overnight processing or systems operating on the path to production trading. Familiarity with Apache Parquet, Apache Arrow, or distributed processing frameworks such as Spark, Ray, or Dask. Experience with Docker, Kubernetes, and Infrastructure-as-Code tools such as Terraform or CloudFormation. C++ development experience. Experience working in high-performance computing or hybrid cloud environments. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Chicago Our formula for success is simple: hire exceptional talent, empower bold thinking, and reward performance that drives impact. As a Software Developer at DRW, you will be an integral member of a dynamic team of technologists, quantitative researchers, and traders. Collaborating closely, you will contribute across the full technology stack tackling complex problems that require careful analysis and swift execution. We’re looking for individuals who are eager to learn, think critically, and deliver solutions that drive tangible impact. From day one, you will be entrusted with meaningful responsibility, supported by mentorship from experienced engineers, and participate in a rigorous training program designed to accelerate your growth in this role. At DRW, you’ll thrive in a fast-paced, collaborative environment that values innovation, adaptability, and excellence—providing the tools and opportunities to make a direct difference. How You Will Make an Impact: You will design, develop, test, and deploy proprietary software that powers fundamental aspects of our business, such as: Design, develop , test and deploy proprietary software including : Trading strategy simulation software optimized for distributed computation Large scale data acquisition, storage, accessibility, and visualization Ultra-low-latency trading strategies Complex algorithmic trading systems Real time trade management and risk analysis platforms Low level optimizations for data processing Fully automated trading strategies Adapters for exchange protocols Robust inter process communication mechanisms Analyze and tune system performance Collaborate with experienced teammates to learn and implement bespoke solutions that balance speed, features, and cost to improve our technology stack What You Bring to the Team: You’ll join us with a strong technical foundation and the ability to collaborate effectively. Specifically, you bring: A degree in Computer Science, Physics, Mathematics, or a related engineering discipline, with graduation expected between December 2026 and June 2027 (Bachelor’s, Master’s, or PhD) Proficiency in modern C++, Java or Python Skills in multi-threading, API design and integration, data processing, and UI development Skills in network programming (TCP/IP), multi ‐ threaded applications, computational intelligence, real ‐ time programming or GUI programming A strong grasp of object-oriented design, data structures, and algorithms Solid programming fundamentals paired with clear logical thinking and effective communication The ability to clearly articulate and advocate for your ideas within a collaborative team environment DRW is a diversified trading firm with over three decades of experience bringing together sophisticated technology and exceptional talent to operate in markets around the world. We trade using our own capital and at our own risk, giving us the autonomy to move quickly and adapt to new opportunities. Headquartered in Chicago, with offices across the U.S., Canada, Europe, and Asia, we participate in a broad range of asset classes, including fixed income, ETFs, equities, FX, commodities, and energy—trading across all major global markets. Beyond traditional trading, we’ve extended our expertise into real estate, venture capital, and cryptoassets. At DRW, we value respect, curiosity, and open-mindedness. We believe that how we work is just as important as what we do. Our culture is defined by high expectations, integrity, innovation, and a willingness to challenge the status quo. The annual base salary range for this position is $225,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus.  In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-DNI

Location: United States Workplace: Remote ABOUT THE TEAM The AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end-to-end. This includes the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and the AI/ML partnerships that distribute them — together with the shared components and expertise that let every other ClickHouse team ship AI in the surfaces they own. Our team is looking for highly skilled and experienced software engineers to join us, who will be responsible for designing, building, and operating the products that make ClickHouse the platform of choice for agents and data scientists. WHAT YOU WILL DO - Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform. - API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services. - Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools. - Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation. - Oncall: Participate in the daytime oncall rotation along with the rest of the team. - UI/UX Implementation: Build responsive, intuitive user interfaces that make complex AI functionalities accessible and valuable to users of all technical backgrounds. - Developer Experience: Design and implement developer tools, SDKs, and documentation that enable users to leverage ClickHouse’s AI/ML capabilities. WHAT YOU WILL BRING ALONG - 5+ years of software engineering experience in production environments - Exposure to working directly with AI/ML technologies - Backend development experience in TypeScript or Python, with a focus on API design and service architecture - A high level of ownership and can drive features from concept to production with minimal supervision - Ability to thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders - Backend development experience in one of Python, Go, or TypeScript, with a focus on API design and service architecture Nice to have - Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases - Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment - Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Sahibzada Ajit Singh Nagar (Mohali), India Workplace: hybrid We are currently seeking an Applied Machine Learning / Computer Vision Engineer to join one of our clients’ innovative AI teams. This is an exciting opportunity to work on a next-generation AI platform combining Computer Vision, Multimodal AI, Applied Machine Learning, and Large Language Models . Key Responsibilities As an Applied ML / Computer Vision Engineer, you will: Design, develop, and improve Computer Vision and image-processing pipelines. Build solutions for video analysis, video understanding, and real-time visual processing. Develop multimodal AI systems combining vision, audio, and language data. Work with object detection, image segmentation, classification, tracking, and related Computer Vision techniques. Implement and fine-tune Vision-Language Models and Transformer-based architectures. Integrate Large Language Models into AI products for reasoning, analysis, and automated decision-making. Evaluate, optimize, and deploy machine-learning models in production environments. Improve model inference speed, accuracy, scalability, and resource efficiency. Translate research papers and emerging AI techniques into practical product features. Build APIs and production-grade services for AI model integration. Collaborate with engineering and product teams to understand business requirements and deliver effective AI solutions. Monitor model performance and continuously improve deployed systems. Maintain clear, reusable, and well-documented code. 1–4 years of experienc e in Applied Machine Learning, Computer Vision, Deep Learning, or a related field. Strong programming skills in Python. Hands-on experience with PyTorch. Practical knowledge of OpenCV and image or video processing. Strong understanding of Deep Learning fundamentals. Experience with object detection and/or image segmentation models. Knowledge of Transformer architectures. Experience working with Vision-Language Models. Familiarity with the Hugging Face ecosystem. Experience with model inference, evaluation, and optimization. Understanding of how to move models from experimentation into production. Experience using Docker and Git . Ability to independently investigate technical challenges and propose practical solutions. Ability to understand, reproduce, and implement methods described in research papers. Strong analytical and problem-solving skills. Curiosity and willingness to explore new technologies. Passion for AI, Machine Learning, and product development. Ownership mindset and accountability for delivered solutions. Ability to work independently and contribute within a collaborative team. Interest in building practical products rather than focusing only on model experimentation. Comfortable working in a fast-moving and research-driven environment. Nice to Have Experience with one or more of the following technologies would be considered an advantage: YOLO GroundingDINO SAM or SAM2 Florence-2 Whisper Qwen2.5-VL LLaVA InternVL CUDA TensorRT ONNX FastAPI (Exceptional fresh graduates may also be considered if they can demonstrate strong technical knowledge through relevant academic work, personal projects, GitHub repositories, Kaggle participation, research, or a technical portfolio.)

Location: Cyprus Workplace: hybrid About the Team We are Quadcode, a fintech company excelling in financial brokerage activities and delivering advanced financial products to our global clientele. Our flagship product, an internal trading platform, is offered as a Software-as-a-Service (SaaS) solution to other brokers. We're looking for an AI Engineer to join our AI Platform team, which builds and operates the generative AI pipelines powering our products, many of which involve financial and trading data, terminology, and specifications. You'll join a small high-impact team where you'll have real ownership from day one. You'll work across our broader AI-platform portfolio: prompting and prompt evaluation, agentic systems, MCP tooling, and evaluation pipelines: writing backend Python on top of LLM providers like OpenAI, Anthropic, and xAI. This is an applied engineering role focused on shipping and maintaining production LLM systems. This role is hybrid, based in our Limassol office. Tasks: Design, build, and maintain LLM-powered features and pipelines for our generative AI products, including those handling financial and trading content Develop and improve agentic systems and multi-agent workflows, including integrations using MCP (Model Context Protocol) servers/tooling Write production-grade backend Python services on top of LLM provider APIs (OpenAI, Anthropic, xAI) and/or on-premise LLMs Build and iterate on prompt engineering and prompt-evaluation pipelines, including structured output generation and validation Take prototypes and proofs-of-concept and turn them into reliable, maintainable production services Monitor and manage LLM cost, latency, and reliability trade-offs across pipelines Collaborate closely with a small, senior AI Platform team on architecture, code review, and technical direction. Requirements: Production LLM experience: You've shipped real, live features using OpenAI and/or Anthropic APIs, or with on-premise/open-weight LLMs, not just experimentation or side projects Hands-on experience building multi-agent systems or workflows and working with MCP servers Strong Python & software engineering fundamentals (2–4+ years): REST APIs, SQL, Docker, git, and concurrency, with a demonstrated ability to take projects from prototype to maintainable production service Practical LLM engineering skills: Comfortable working with structured outputs, prompt evaluation, and cost-aware design decisions in real systems English fluency (written and verbal). Nice to Have: Prior experience working in fintech Finance/markets knowledge: tickers, earnings, technical indicators, forex/CFDs Quant background Experience with model fine-tuning/training, RAG, or LLM optimization techniques Track record in Kaggle competitions focused on LLMs or multi-agent frameworks GPU infrastructure experience: provisioning GPU compute or serving open-weight models (e.g., Hugging Face inference) Experience with Kubernetes, Kubeflow, or Airflow Data analysis and statistics experience Experience with cloud platforms (AWS, GCP, etc.) Fluent Russian. We know the combination of production LLM engineering and finance-domain knowledge is rare. If you're a strong AI/LLM engineer without a finance background, we still want to hear from you. What we offer: Hybrid work model in our brand-new office in Limassol. Health insurance and mental health services. 13th salary and 21 vacation days per year. Sick leave without medical certificate: 3 days per quarter. Catered lunches in the office. Tuition reimbursement (kindergartens/schools). Onsite Gym. Corporate events and workshops. Bonuses for special events (e.g., child's birth). Birthday and anniversary gifts. Company-provided laptop. Corporate AI subscriptions (Claude, Gemini, GPT, etc.). Access to a rewards marketplace offering products and language courses, redeemable using the company’s internal currency. With a team of 500+ creative and tech-driven people across the globe, Quadcode is the place where ideas turn into impact, where every project is a chance to grow, innovate, and make your mark. Join us today, and let's shape the future of fintech together! Note: All applications will be treated with strict confidence. We thank all applicants for their interest, however, only those candidates selected for interviews will be contacted. #LI-JM1

Location: London, UK Workplace: Hybrid Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. About this role:   We're looking for a Full Stack Developer (main back end focus) to work on our advertising analytics platform. We gather and process BIG amounts of data and deliver meaningful insights to our customers. We have browser extensions, databases, panelists, servers, so many servers, and a great hybrid culture with coworkers locally and across the globe.   There's a good mix of extremely difficult problems, impossible problems, easy problems, bugs, performance issues, and the occasional thing that's a joy to work on – join us!   What you will do in a typical day: - Tackle interesting performance and scalability challenges. - Meticulously refactor bunches of reports decimating code size and run time while preserving results. - Intelligently manage tech debt while simultaneously delivering new features for the business. - Code in SQL and C# (and occasionally js) in a mixed environment (Windows and Linux but mostly Windows) utilizing AWS, SQL Server, Redshift, Mongo, EntityFramework and ASP.NET http://asp.net/ Core. - Participate in a Kanban/Devops dev process with fluid requirements, weekly scrums, and potentially be on-call w/Pagerduty - Be a proponent for continuous improvement, architecture, clean code, and good systems design - We use Github for source control and Jira for project management - We review PRs! (usually) and ship often. What you can bring: - Experienced C# developer. - Be able to code in C#, SQL and occasionally in Ruby. - Big Plus: Comfortable reading and modifying Javascript/React. - Friendly - You will be working in cross function with a lot of cool people! - Love for data - Our platform provides data intelligence for the digital economy! Our Engineering Culture We believe that "Simplicity is a prerequisite for reliability." We are looking for engineers who align with our core values:   - Simplicity: We avoid over-engineering. We prefer the tools we already have and the most straightforward solutions over "shiny new toys." - Quality: We write code that is a pleasure to read because we know code is written once but read many times. We don't cut corners, and we polish to a high level before shipping. - Extreme Ownership: We don't just do the minimum. We expect you to understand the "why" behind your work and own the ultimate goal of fixing problems at their root cause, avoiding temporary band-aids. - Prioritization: We focus relentlessly on what is important, not just what is urgent.   Read more about some of our Technical challenges here (written by members of our engineering team): https://sensortower.com/blog/speeding-up-the-backend-with-graph-theory   https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Tel Aviv Via is on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, Via is recognized as the leading transportation technology and service provider globally. As a Front-End Team Lead at Via’s Tel Aviv R&D center, you will lead a talented group of engineers in building the technology powering our Operation Center—the real-time heartbeat of our global service. This is a highly impactful, mission-critical role combining people leadership, technical ownership, and product impact. You will shape our Front-End architecture and foster a culture of high-quality craft, directly shaping the daily lives of hundreds of thousands of riders. We are looking for a high-agency leader who leverages modern AI to outpace traditional workflows, continuously driving your team's growth and elevating the way we build products. About the Role: Lead and mentor Front-End engineers, supporting their professional growth and helping them reach their full potential. Own both the people and operational aspects of the team, ensuring effective execution and continuous improvement. Drive technical excellence through architecture decisions, design discussions, and code reviews. Take ownership of improving development processes, engineering practices, and the way the team works. Collaborate closely with Product, Design, and other engineering teams to build impactful user experiences. Understand the product deeply and make technical decisions that create real value for users. Implement and improve Front-End tools and libraries used across Via.Improve the user experience across Via’s platform. About You: B.Sc. in Computer Science or a similar field. At least 2 years of experience leading and managing a team of engineers5+ years of professional software development experience. Strong experience with React or similar Front-End frameworks. Strong technical abilities with the ability to quickly understand complex systems and make thoughtful decisions. Experience with architecture, system design, and code reviews. A proactive and ownership-driven mindset, with a passion for continuously improving products and processes. Experience with map-based application development (Mapbox, Google JS SDK, etc.) — an advantage.Experience with backend development (Python) — an advantage. Compensation and Benefits: Our product impacts millions of users around the world  providing alternative transport solutions that are more: efficient and accessible, changing cities to make them greener. Competitive compensation package which includes base salary and equity Health insurance with a discount for family members Hybrid work and a lovely office situated in the heart of TLV, in Midtown, close to the light rail and train station Career development and growth opportunities Other perks: Freefit and other sports lessons, 10bis/Cibus - you choose!, happy hours, team events, communities and many more benefits There has never been a more exciting time to be on the cutting edge of public mobility. Ready to join the ride? Via is an equal opportunity employer.

Location: Remote, United Kingdom GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. Summary: Lead the Switchboard team, which owns the Tenant management product for Dedicated environments. This team is diverse in skills (Frontend, Backend and Reliability engineers) and owns the product end to end. The product enables self-service and workflow automations for customers and internal operators of our large scale Dedicated tenant fleet. Key Responsibilities: Lead the fullstack Switchboard team responsible for GitLab Dedicated’s customer-facing control panel, and set clear direction for how the team delivers and evolves that product. There is a strong coordination with the assigned Product Manager. Hire and develop a high-performing team  where team members can thrive and produce results with quality and speed. Partner with Technical Team Leads to provide direction and act as final decision-maker and unblocker of the team to move forward fast. Partner closely with Product and Design on the customer-facing control panel, including wireframes and UI direction for external users. Own planning with the Product Manager, including priorities, dependencies, and the quarterly delivery epic. Ensure fast, high quality and  cross-functional execution across frontend, backend, UX, product, and technical writing. Drive improvements in quality, security, and performance. Support the team’s mission of enabling GitLab Dedicated customers to manage their tenant environments while reducing manual operations on the large scale Dedicated fleet. Take part in on-call or operational support where your team’s ownership model requires it. We're looking for a technical engineering manager to lead a team building and operating large-scale distributed systems. The ideal candidate combines deep technical expertise with strong operational instincts and a passion for building high-performing teams. What you'll bring: Proven track record building and owning large-scale distributed services, with the technical depth to dive into architecture and guide the team on technical strategy Experience with fleet management products, including Terraform, Kubernetes, AWS and automated provisioning at scale (20+ clusters) Experience in driving operational excellence and you've owned services running at four-nines (99.99%) SLOs and know what it takes to keep them there Experience leveraging AI tooling to boost team productivity, with real lessons learned from both wins and missteps A history of building and managing high-performing, accountable team cultures, including managing out when necessary Comfort driving complex projects to completion without relying on a dedicated TPM Experience leading distributed and remote teams effectively How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Krakow, Poland Workplace: Remote Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. About this role:   We're looking for a Full Stack Developer (main back end focus) to work on our advertising analytics platform. We gather and process BIG amounts of data and deliver meaningful insights to our customers. We have browser extensions, databases, panelists, servers, so many servers, and a great hybrid culture with coworkers locally and across the globe.   There's a good mix of extremely difficult problems, impossible problems, easy problems, bugs, performance issues, and the occasional thing that's a joy to work on – join us!   What you will do in a typical day: - Tackle interesting performance and scalability challenges. - Meticulously refactor bunches of reports decimating code size and run time while preserving results. - Intelligently manage tech debt while simultaneously delivering new features for the business. - Code in SQL and C# (and occasionally js) in a mixed environment (Windows and Linux but mostly Windows) utilizing AWS, SQL Server, Redshift, Mongo, EntityFramework and ASP.NET http://asp.net/ Core. - Participate in a Kanban/Devops dev process with fluid requirements, weekly scrums, and potentially be on-call w/Pagerduty - Be a proponent for continuous improvement, architecture, clean code, and good systems design - We use Github for source control and Jira for project management - We review PRs! (usually) and ship often. What you can bring: - Experienced C# developer. - Be able to code in C#, SQL and occasionally in Ruby. - Big Plus: Comfortable reading and modifying Javascript/React. - Friendly - You will be working in cross function with a lot of cool people! - Love for data - Our platform provides data intelligence for the digital economy! Our Engineering Culture We believe that "Simplicity is a prerequisite for reliability." We are looking for engineers who align with our core values:   - Simplicity: We avoid over-engineering. We prefer the tools we already have and the most straightforward solutions over "shiny new toys." - Quality: We write code that is a pleasure to read because we know code is written once but read many times. We don't cut corners, and we polish to a high level before shipping. - Extreme Ownership: We don't just do the minimum. We expect you to understand the "why" behind your work and own the ultimate goal of fixing problems at their root cause, avoiding temporary band-aids. - Prioritization: We focus relentlessly on what is important, not just what is urgent.   Read more about some of our Technical challenges here (written by members of our engineering team): https://sensortower.com/blog/speeding-up-the-backend-with-graph-theory   https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Warsaw, Poland Workplace: Remote Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. About this role:   We're looking for a Full Stack Developer (main back end focus) to work on our advertising analytics platform. We gather and process BIG amounts of data and deliver meaningful insights to our customers. We have browser extensions, databases, panelists, servers, so many servers, and a great hybrid culture with coworkers locally and across the globe.   There's a good mix of extremely difficult problems, impossible problems, easy problems, bugs, performance issues, and the occasional thing that's a joy to work on – join us!   What you will do in a typical day: - Tackle interesting performance and scalability challenges. - Meticulously refactor bunches of reports decimating code size and run time while preserving results. - Intelligently manage tech debt while simultaneously delivering new features for the business. - Code in SQL and C# (and occasionally js) in a mixed environment (Windows and Linux but mostly Windows) utilizing AWS, SQL Server, Redshift, Mongo, EntityFramework and ASP.NET http://asp.net/ Core. - Participate in a Kanban/Devops dev process with fluid requirements, weekly scrums, and potentially be on-call w/Pagerduty - Be a proponent for continuous improvement, architecture, clean code, and good systems design - We use Github for source control and Jira for project management - We review PRs! (usually) and ship often. What you can bring: - Experienced C# developer. - Be able to code in C#, SQL and occasionally in Ruby. - Big Plus: Comfortable reading and modifying Javascript/React. - Friendly - You will be working in cross function with a lot of cool people! - Love for data - Our platform provides data intelligence for the digital economy! Our Engineering Culture We believe that "Simplicity is a prerequisite for reliability." We are looking for engineers who align with our core values:   - Simplicity: We avoid over-engineering. We prefer the tools we already have and the most straightforward solutions over "shiny new toys." - Quality: We write code that is a pleasure to read because we know code is written once but read many times. We don't cut corners, and we polish to a high level before shipping. - Extreme Ownership: We don't just do the minimum. We expect you to understand the "why" behind your work and own the ultimate goal of fixing problems at their root cause, avoiding temporary band-aids. - Prioritization: We focus relentlessly on what is important, not just what is urgent.   Read more about some of our Technical challenges here (written by members of our engineering team): https://sensortower.com/blog/speeding-up-the-backend-with-graph-theory   https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Lisbon, Portugal Workplace: Remote Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. About this role:   We're looking for a Full Stack Developer (main back end focus) to work on our advertising analytics platform. We gather and process BIG amounts of data and deliver meaningful insights to our customers. We have browser extensions, databases, panelists, servers, so many servers, and a great hybrid culture with coworkers locally and across the globe.   There's a good mix of extremely difficult problems, impossible problems, easy problems, bugs, performance issues, and the occasional thing that's a joy to work on – join us!   What you will do in a typical day: - Tackle interesting performance and scalability challenges. - Meticulously refactor bunches of reports decimating code size and run time while preserving results. - Intelligently manage tech debt while simultaneously delivering new features for the business. - Code in SQL and C# (and occasionally js) in a mixed environment (Windows and Linux but mostly Windows) utilizing AWS, SQL Server, Redshift, Mongo, EntityFramework and ASP.NET http://asp.net/ Core. - Participate in a Kanban/Devops dev process with fluid requirements, weekly scrums, and potentially be on-call w/Pagerduty - Be a proponent for continuous improvement, architecture, clean code, and good systems design - We use Github for source control and Jira for project management - We review PRs! (usually) and ship often. What you can bring: - Experienced C# developer. - Be able to code in C#, SQL and occasionally in Ruby. - Big Plus: Comfortable reading and modifying Javascript/React. - Friendly - You will be working in cross function with a lot of cool people! - Love for data - Our platform provides data intelligence for the digital economy! Our Engineering Culture We believe that "Simplicity is a prerequisite for reliability." We are looking for engineers who align with our core values:   - Simplicity: We avoid over-engineering. We prefer the tools we already have and the most straightforward solutions over "shiny new toys." - Quality: We write code that is a pleasure to read because we know code is written once but read many times. We don't cut corners, and we polish to a high level before shipping. - Extreme Ownership: We don't just do the minimum. We expect you to understand the "why" behind your work and own the ultimate goal of fixing problems at their root cause, avoiding temporary band-aids. - Prioritization: We focus relentlessly on what is important, not just what is urgent.   Read more about some of our Technical challenges here (written by members of our engineering team): https://sensortower.com/blog/speeding-up-the-backend-with-graph-theory   https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Barcelona, Spain; Madrid, Spain About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities We are looking for a hands-on Engineering Manager to lead a team building core internal infrastructure and developer-facing systems. This role sits at the intersection of project management, engineering leadership, and platform development. The team (Evaluation Engines / Data processing engines) owns foundational components which are embedded into higher level workflow engines and tools. Examples are formula evaluation, data transformation according to predefined mapping, decision models, etc. The team is technically strong and highly autonomous. We are looking for an Engineering Manager who can operate effectively in this environment: someone with a strong engineering background who understands complex systems, but does not need to be the deepest technical expert in every area. Your role will be to help experienced engineers work effectively together, create clarity across interconnected initiatives, and improve how the team plans, collaborates, and delivers. What You’ll Do Lead a strong engineering team You will manage and develop experienced engineers with significant ownership of their technical domains. The team is mostly Rust engineers, however they also build libraries for several other programming languages: Go, Ruby, Java, Python, and WASM. You will be responsible for regular 1:1s, feedback, performance management, career development, hiring, onboarding, and team health. We expect you to create an environment where engineers can remain highly autonomous while having clear priorities, ownership, and accountability. You will be responsible for team capacity planning and hiring when needed. Build strong product You will be working closely with Product Managers and department VP to define how the products look, what to build and in which order, what new exciting features we can bring to our customers. As this area is highly technical and speaks Computer Science terms at times, Product Managers will greatly rely on your and your team expertise to make decisions. You will be responsible for working with Quality Engineering and Product Security teams to deliver high-quality products. At the same time in this AI era we expect you to embrace new tools to shift quality and security scans left. Drive planning and execution The team owns several interconnected technical areas, often developed across separate repositories and involving dependencies between engineers and projects. You will: Own planning and operational execution across multiple engineering workstreams. Create visibility into priorities, dependencies, timelines, and resource allocation. Help the team turn broad technical direction into an executable roadmap. Identify and remove blockers before they significantly impact delivery. Balance new development, customer commitments, operational work, and technical debt. Define meaningful engineering metrics and use them to identify opportunities for improvement. Keep stakeholders informed about progress, risks, and trade-offs. Plan release and update cycles of the product. Maintain the product, be responsible for defects triaging and mitigation. Stay close to technology This is strictly not a purely people-management role. Technical background and experience is a must. We don't expect you to be a fluent Rust developer, we in fact are not expecting you to know Rust at all. But you should be comfortable participating in technical discussions, reviewing designs and architecture proposals, understanding engineering trade-offs, and challenging assumptions when needed. You should have a wide industry knowledge, and understand the pros and cons of different programming languages and platforms. Depending on your background and interests, you may also review code, contribute to tooling or prototypes, participate in incident investigation, or use automation and AI-assisted development to improve engineering workflows. At the same time, we do not expect the Engineering Manager to make every technical decision. Senior engineers (your team will contain a mix of engineers up to Staff and Architect levels) own significant parts of the technical direction, and a key part of the role is enabling them to do that effectively. What We’re Looking For We are looking for someone with: Significant software engineering experience before or alongside engineering management. Experience managing senior, autonomous engineers. A strong background in platform engineering, developer infrastructure, developer productivity, backend infrastructure, or distributed systems. Experience with CI/CD, release engineering, developer tooling, or internal engineering platforms. Experience owning roadmaps and delivering multi-quarter engineering initiatives. Strong understanding of software development lifecycle and engineering practices. Experience managing technical debt alongside product and business priorities. Ability to understand complex technical discussions without needing to personally own every implementation decision. Strong stakeholder management and cross-functional communication skills. Experience hiring, coaching, and developing engineers. A pragmatic approach to engineering processes: enough structure to make teams effective, without unnecessary bureaucracy. What Makes Someone Successful in This Role You are comfortable joining a team where engineers may understand individual systems more deeply than you do. Instead of trying to become the technical owner of every component, you ask the right questions, understand trade-offs, create clarity, and help engineers make good decisions together. You enjoy finding problems in the engineering system itself: unclear ownership, slow reviews, hidden dependencies, fragmented tooling, competing priorities, or processes that depend too heavily on individuals pushing things forward. You can move between a conversation about architecture or CI pipelines, a 1:1 with an engineer, roadmap prioritization with Product, and a discussion about why delivery is taking longer than expected. You are comfortable aligning your team roadmap with requirements from Product Managers, and from Engineering leadership, which may be different, and working with different stakeholders in general. Most importantly, you combine technical credibility with strong people and execution leadership. Nice to Have Experience with some of the following would be particularly relevant: Golang or Rust; understanding of WASM platform. Basic understanding of formal grammar, AST, compiler frontends. Observability and operational tooling. Open-source development. AI-assisted software development and automated code review. PostgreSQL or database infrastructure. Kubernetes, Docker, Terraform, or cloud infrastructure. Multi-repository development environments. Developer-facing APIs, SDKs, libraries, or integrations. (REQ ID: 2582)

Location: London As a participant in our yearlong middle and back-office rotation program, referred to internally as our Leadership Rotation Network (LRN), you’ll begin your journey with our immersive onboarding experience. This will reinforce your knowledge of market fundamentals, equipping you for the dynamic rotations that follow. Additionally, it offers an invaluable opportunity to build strong relationships with your fellow cohort members and integrate into the wider LRN community. Following onboarding, you will rotate through up to three targeted middle and/or back-office teams such as Global Trading Operations, Treasury/Cash and Business Management.  Upon successful program completion, you will earn a post-LRN role on one of the participating middle/back-office teams with the aim of alignment between both your career aspirations and DRW’s business needs. This position is not a trading or quant role and does not involve trading strategy or investment decision-making. Instead, examples of how we empower our LRNers to make an impact include: Apply your acquired knowledge and skills to deliver tangible value through rotations in various middle and back-office teams Analyze situations, develop solutions aligned with our strategic goals and respond constructively to feedback Effectively collaborate within diverse teams and build lasting relationships with cohort members and the LRN community Lead projects and participate in daily processes, gaining insight into each team’s scope and their collective role in supporting our trading business Develop a comprehensive understanding of the business and a foundation of how our trading functions work together cohesively You'll be right at home if you have: A Bachelor’s or Master’s degree in Business, Finance, Business Analytics, Economics, or a related field, with a graduation date between December 2026 and June 2027 A strong desire to learn, a curious mindset, a commitment to integrity, and the ability to deliver results both independently and as part of a team Excellent critical thinking and problem-solving skills, with the ability to learn quickly, act with urgency, and communicate effectively The ability to work independently while building strong relationships across business groups Strong Excel skills and comfort working with large, structured data sets Foundational knowledge of SQL, Python, or similar data tools, with the interest and ability to deepen these skills on the job The ability to use AI-enabled tools to accelerate analysis, troubleshoot issues, draft queries or scripts, summarize information, and identify opportunities to improve workflows Sound judgment when validating AI-generated outputs, protecting confidential information, documenting assumptions, and escalating uncertainty A demonstrated analytical mindset, strong attention to detail, and the ability to investigate data discrepancies, reconcile information across systems, and communicate conclusions clearly An interest in automation, process improvement, and using technology to reduce manual effort and operational risk Work authorisation in the United Kingdom without the need for sponsorship in the future Additional target candidate qualities: An interest in the trading and technology industry, with a specific aspiration to build a career in the middle/back-office (this role is not a pathway to the front office) A desire to live and work in London (this opportunity requires physical presence and is not offered remotely) A solid understanding of financial securities and their markets Prior internship experience in/exposure to middle or back-office roles and operations but no prior full-time work experience (LRN is a junior analyst leadership pipeline opportunity best suited for new grads joining the workforce for the first time) If you excel in performance-driven environments and thrive on challenges, we encourage you to apply! DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world.  We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.  DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice .

About the role We’re building a high-performance computer vision system that detects and recognizes objects on fast-moving trains and trucks. The application runs on Linux and is built with Rust/C++ and OpenCV. You’ll join a small team of engineers and ML specialists, working directly with the technical lead on software that powers logistics, automation, tracking, and access control for ports, railways, and industrial facilities. This is not an ML research role. Our ML team trains the models—you’ll focus on everything around them: recognition quality, algorithms, tooling, performance, and developer experience. What you’ll do Improve recognition quality through data analysis and application logic Build internal tools, scripts, and developer utilities Refactor and optimize existing systems for performance and stability Contribute to other engineering projects when needed (web, mobile, embedded, infrastructure) Depending on the project, you may also work with Go, Python, React/TypeScript, SQL/Postgres, and Linux tooling. We’re looking for someone with Strong Rust, C++, or equivalent systems programming skills Solid Linux, Git, and command-line experience Basic understanding of ML or data analysis Good written and spoken English We value engineers who are curious, take ownership, debug systematically, communicate well, and enjoy solving challenging real-world problems. Nice to have OpenCV, CUDA, deep learning, or custom ML model training Linux internals, performance optimization, or low-level debugging Docker, networking, distributed systems, or embedded development Strong personal or open-source projects Why Bravora? We’re a small, fully remote engineering team where you’ll have real ownership, direct impact, and plenty of room to grow. We actively modernize our stack, encourage AI-assisted development, and provide access to state-of-the-art LLM tools. Interested? Send us your CV, GitHub or portfolio (if available), your earliest start date, expected hourly rate, and a few sentences about why this role interests you.

Location: Paris ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role As a Learning & Development Lead on the People team, you will establish the foundation for learning culture and capabilities to support Mistral AI’s growth. As the first hire in this area, your work will directly define processes, infrastructure, and strategy for continuous skill development across the organization. You’ll collaborate closely with teams in France, the USA, the UK, Germany, and Singapore to build programs that align with business goals and employee progression. Your efforts will ensure that our workforce is equipped with the skills needed for evolving business needs, making learning an integral part of everyday work. What You Will Do - Develop and deliver a learning and development strategy aligned to company objectives - Assess and prioritize skill gaps to inform training initiatives - Design and implement onboarding, upskilling, and reskilling programs - Build scalable learning paths for key roles and career growth - Source and curate external content and partnerships to supplement internal offerings - Collaborate with leaders to identify high-potential employees and development plans - Select, configure, and roll out a Learning Management System, ensuring adoption and alignment with HR and IT systems - Set up metrics and regularly measure L&D impact on organizational performance What We're Looking For - At least 8 years of HR experience, with significant time in tech start-ups or high-growth companies - Proven ability to build and manage L&D functions across multiple countries - Strong background in implementing and managing Learning Management Systems - Experience designing training programs for various teams and roles - Knowledge of instructional design and adult learning theory - Excellent communication, influence, and stakeholder management skills - Strong analytical and problem-solving mindset - Ability to adapt, work without clear structure, and turn strategy into action     WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Berlin ROLE HIGHLIGHTS: - IT Onsite Support Specialist - Location: Berlin - Department: IT - Reports to: CEO of ICEYE Germany - Employment type: Permanent - Workplace model: Onsite - Employment is subject to applicable security screening (incl. SUPO, where required) WHY THIS ROLE MATTERS:   Serving as an IT On-Site Support specialist, you will deliver direct, hands-on assistance to keep local team operations running smoothly. Working alongside a global IT team, you will manage local and global requests and route complex escalations to the appropriate team members.   WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.   ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.   ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.   Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. YOUR DAY-TO-DAY RESPONSIBILITIES - Provide responsive, friendly first-line desktop and hands-on IT support for local and global staff across macOS, Windows, and Linux workstations. - Manage local mobile phone subscriptions. - Set up, deploy, and physically maintain laptops, docking stations, monitors, printers, and meeting room AV equipment. - Support basic day-to-day hardware maintenance, workstation setups, and physical network patching on the manufacturing floor. - Assist with user onboarding and offboarding by imaging laptops and provisioning standard accounts using checklists. - Triage, resolve, and document local support tickets within Jira Service Management, escalating complex network or infrastructure issues to senior specialists. - Maintain accurate local hardware inventory, track asset movement, and help keep site IT documentation up to date.       WHAT WE’RE LOOKING FOR Must haves: - 2+ years of practical IT support, desktop support, or service desk experience (or a completed vocational qualification / degree in IT or a related field). - Foundational troubleshooting skills across Windows and macOS, with basic comfort or strong curiosity to learn Linux fundamentals. - Practical experience assembling, cabling, and configuring desktop peripherals, monitors, and conference room tech. - Basic understanding of core networking concepts (TCP/IP, DHCP, DNS, Wi-Fi connectivity, and physical cable patching). - Working familiarity with cloud productivity suites such as Google Workspace or Microsoft 365. - Clear verbal and written English and German communication skills with a customer-focused, helpful attitude.   Nice to haves: - Initial exposure to ticketing platforms like Jira Service Management. - Basic understanding of identity and access concepts (such as Okta or Active Directory). - Familiarity with or curiosity about manufacturing, lab, or cleanroom environments. - Basic knowledge of MDM tools such as Jamf or Omnissa Workspace ONE.   APPLICATION PROCESS - TA Screen (30 mins) - Technical Interview with Team (45 - 60 mins) - Interview with Country Manager (45 mins) WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.   OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Tel Aviv-Yafo, Tel Aviv District, Israel About Aidoc Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year. Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions. Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need. About this role We are seeking a Backend Tech Lead to join a Full-Stack team that is part of the group responsible for Aidoc's main product line, the Imaging platform. This team focuses on the radiologist's experience, providing the primary access point to Aidoc's AI. The team manages the application installed on the radiologist's computer and the Python-based Gateway service that delivers data to its endpoints. In this role, you will be responsible for leading the design and development of our backend services, encompassing architecture, coding, and developer mentorship. Responsibilities Lead Full-Stack Development: Lead the design and development of scalable and reliable backend services that power Aidoc's radiologist-facing applications . Architectural Leadership: Drive architectural discussions and make key technical decisions within the team's domain, ensuring high quality, performance, and maintainability Ownership : Receive end-to-end ownership for product features from ideation to deployment, and work closely with Product and UX to bring the team’s imagination to life. Development Work : Contribute hands-on to the implementation of backend services and occasionally to frontend components when needed. Mentorship: Mentor and support engineers through design reviews, code reviews, and architectural discussions, promoting technical excellence and best practices. Incorporate Best Practices: Champion best practices for code quality, testing, and CI/CD processes to enhance delivery consistency and reliability. Strategic Collaboration and Influence: Work cross-functionally with product, design, and other engineering teams to ensure alignment and technical coherence across the Imaging Platform Requirements 10+ years of hands-on experience designing and developing complex, production-grade systems. Proven experience building and maintaining backend services end-to-end: architecture, development, testing, deployment, and monitoring. At least 2 years of experience in technical leadership — guiding design and implementation within a team or across multiple components. Previous responsibility of mentoring engineers and scaling engineering culture Demonstrated ability to lead high-scale, high-quality technical projects, applying best practices such as design reviews and architectural trade-offs. Deep understanding of system design, APIs, and distributed systems principles. Strong coding skills in at least one modern backend language (e.g., Python, Go, Node.js, Java, C#). Experience with cloud environments (AWS or equivalent), containers (Docker, Kubernetes), and CI/CD pipelines. Excellent collaboration and communication skills; able to lead through influence and example. A proactive mindset, strong sense of ownership, and passion for building well-engineered, impactful products. Experience and understanding of production monitoring and observability tools. Advantage: Familiarity with frontend technologies and frameworks — able to contribute occasionally across the stack. Working at Aidoc Our Perks: Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives) We work in a hybrid model, with our new offices located at 34 HaMasger Street in Tel Aviv and parking for employees. Amazing and healthy breakfasts and lunches prepared daily by our personal chef! Stocked up kitchen & meal card Wellness: Aidoc employees-only gym, plus Pilates, Yoga, and functional workouts classes. Amazing culture - collaborative, transparent & fun! Attractive compensation package & benefits Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.

Location: Singapore Our formula for success is to hire exceptional people, encourage their ideas and reward their results. As a Quantitative Researcher , you will develop mathematical models using advanced statistical learning methods to build automated trading strategies across multiple asset classes. Our research team collaborates on idea generation and strategy development, while encouraging independent exploration and original approaches. You will have access to clean data integrated with compute resources and the support of experienced researchers, traders and dedicated software developers. You will conduct quantitative analysis of market data to uncover relationships and identify historical trends. We do not require familiarity with or prior experience in financial markets for this role. We will give you the training you need to be successful. How you will make an impact Extract predictive signals from financial data through both traditional statistical analysis methods and cutting edge machine learning techniques Assist software developers to translate research strategies into production software Optimize the order execution and risk management of our trading system Create robust solutions to problems presented in the trading environment Formulate and apply mathematical modeling techniques to enhance existing trading strategies and perform innovative new research with the goal of identifying and capturing trading opportunities Automate human-decision based trading strategies; prototype algorithmic trades from trading ideas You will be right at home if you have… A degree in a technical discipline with a focus on statistics, machine learning, signal processing, optimization and control graduating between December 2026 and August 2027 (Bachelor’s, Master’s, PhD) A curiosity for model development and experience handling large data sets Expertise in programming using Python, R, MATLAB, or C++ for conducting research Can advocate for your beliefs in a concise and effective way with the team Significant hands-on experience applying machine learning algorithms to real world problems Strong problem-solving and statistics skills The proactive ability to take the lead on assignments and deliver practical research results in a timely manner DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world.  We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.  DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-LT2