List of job offers

• Taking charge of the onboarding process for various client types and products (Cash and Derivatives) on behalf of the desk/FNBG
• Engaging in active discussions with Sales/FNBG to effectively prioritize tasks
• Acquiring in-depth knowledge of AML, KYC, and product-to-legal-entity alignment requirements
• Developing a comprehensive understanding of Client Onboarding policy and process criteria
• Effectively managing tight timelines for fund launches, market-specific deadlines, and trade dates -...

• 1-3 years experience in KYC role
• Exceptional verbal and written English skills
• Demonstrated common sense, along with a robust analytical and logical approach to all tasks
• Essential qualities include flexibility, proactivity, and high energy
• Strong problem-solving and facilitation abilities
• Capable of working independently with minimal supervision
• A team player with the ability to work efficiently and effectively under pressure

• Build & Optimize Infrastructure
• Own our GCP infrastructure stack, ensuring it's scalable, reliable, and cost-efficient.
• Modernize our Kubernetes environments, implement infrastructure as code with Terraform, and establish best practices that enable the engineering organization to move faster with confidence.
• Enable Developer Velocity
• Partner with development teams to accelerate their delivery through improved CI/CD pipelines, tooling, and processes.
• Guide engineers in ...

• Hands-on experience with GCP and Kubernetes in production environments.
• Proficient with infrastructure as code (Terraform) and deep understanding of CI/CD principles.
• Experience with GitLab CI, Flux CD, Istio, or similar tools is valuable.
• Positive attitude with high integrity and low ego.
• Ability to communicate complex technical concepts to non-technical stakeholders.
• Experience in cross-functional leadership and collaboration.

• Supporting the configuration of modern workflow management software using JSON files and GIT repositories
• Assisting with implementation, day-to-day maintenance, and operational support of IT solutions
• Performing testing and verification of implemented functionalities
• Attending meetings with stakeholders and the development team to gain project exposure
• Supporting senior team members with daily analytical and documentation activities

• University student (3rd–5th year) – preferably in information systems, computer science, economics, or related fields
• Fluent English, both written and spoken, with the ability to understand technical documentation
• Attention to quality and detail
• Good interpersonal and communication skills
• Analytical and organizational mindset
• Ability to work effectively in a team
• Good knowledge of MS Office (Excel, PowerPoint, Word)
• Nice to have:
• Basic knowledge of any programming language ...

• Take ownership of existing signups, drive acquisition, and grow accounts into active users
• Analyze and segment the pipeline to focus on the highest-potential opportunities
• Plan, launch, and test email and multichannel campaigns to engage prospects and existing users to drive results
• Run demos, intro calls, and follow-ups to guide users through onboarding and activation
• Build and maintain strong customer relationships to ensure success and satisfaction
• Manage the sales process ...

• 3 years of sales experience in B2B SaaS environments
• Fluent English proficiency, both written and spoken
• Confidence in conducting demo calls, negotiating, and driving results
• Strong prospecting and research skills to uncover new opportunities
• Hands-on experience in outreach via LinkedIn, email, and multichannel campaigns
• Strong presentation, communication, and relationship-building skills
• Data-driven mindset, comfortable working with metrics, dashboards, and analysis
• Hands-on ...

• Design and prototype machine learning solutions to improve the software development workflow.
• Apply existing open-source models or train custom ones as needed.
• Build training and evaluation pipelines that support fast iteration and ensure reproducibility.
• Stay up to date with the latest advancements in applying machine learning to source code.
• Collaborate with colleagues and provide mentorship when appropriate.

• Experience designing machine learning systems from scratch.
• Background in natural language processing or code modeling.
• Proven track record of delivering machine learning projects.
• Knowledge of designing reproducible ML experiments.
• Enjoy working on projects with high uncertainty.
• Proficiency in Python, Java, or Kotlin.
• Hands-on experience with modern ML frameworks.
• It would be nice if you have:
• Experience applying machine learning to programming languages.
• Hands-on ...

• Develop and optimize features that enable seamless integration with JetBrains IDEs.
• Collaborate closely with team members to define architecture and technical decisions for future enhancements.
• Work on refining the UI/UX experience using Jetpack Compose to meet the highest usability standards.
• Take ownership of key components and drive them from conception through deployment.

• Solid programming experience with Kotlin and coroutines.
• Familiarity with Compose UI.
• Ability to understand other people's code (both test and product code).
• Ability to grasp new concepts quickly and to work both in a team and independently.
• Willingness to propose new ideas and improvements for current approaches.

• Communicate effectively and clarify ambiguous requests.
• Ensure each analytics request has a well-defined business value.
• Collaborate comfortably with diverse stakeholders.
• Plan work and make decisions independently, consulting others as needed.
• Proactively delve into topics to account for all relevant details.
• Create and maintain dashboards to track product usage and key business metrics.
• Derive insights from billing data to back up product development decisions.
• Analyze current ...

• Expertise in statistics and data analysis.
• Extensive experience with SQL and Python.
• At least two years of experience with Tableau, Power BI, or other BI tools.
• Data visualization and interpretation skills.
• Experience with LLM-related analytics (preferred).
• Ability to distill complex analyses into clear, straightforward explanations.

• Work with stakeholders to convert business requirements into technical specifications.
• Train LLMs from scratch on a large GPU cluster.
• Collect and process pre-training and fine-tuning datasets.
• Support and improve existing subsystems.

• Experience in design, deployment, and support of production ML systems.
• A strong theoretical background in NLP and transformer-based approaches.
• Proficiency with modern deep learning frameworks such as PyTorch and common libraries for NLP.
• Experience in distributed training of multi-billion parameter models.
• Attention to detail in everything you do and great communication skills.
• Passion for learning and a desire to stay up to date with the latest developments in the LLM field.

...

• Be responsible for improving end-to-end performance for multi-node LLM pre-training and post-training pipelines.
• Profile hotspots (Nsight Systems/Compute, NVTX) and fix them using compute/comm overlap, kernel fusion, scheduling, etc.
• Design and evaluate architecture choices (depth/width, attention variants including GQA/MQA/MLA/Flash-style, RoPE scaling/NTK, and MoE routing and load-balancing).
• Implement custom ops (Triton and/or CUDA C++), integrate via PyTorch extensions, and upstream ...

• Strong PyTorch and PyTorch Distributed experience, having run multi-node jobs with tens to hundreds of GPUs.
• Hands-on experience with Megatron-LM/Megatron-Core/NeMo, DeepSpeed, or serious FSDP/ZeRO expertise.
• Real profiling expertise (Nsight Systems/Compute, nvprof) and experience with NVTX-instrumented workflows.
• GPU programming skills with Triton and/or CUDA, and the ability to write, test, and debug kernels.
• A solid understanding of NCCL collectives, as well as topology and fabric ...

• CloudFinOps: Analiza i optymalizacja kosztów infrastruktury chmurowej (AWS, Azure), wdrażanie praktyk FinOps, raportowanie kosztów. Przekazywanie do zespołów produktowych rekomendacji i ich egzekwowanie.
• Tech Partner Programs: Zarządzanie programami partnerskimi z dostawcami technologii (np. AWS, Microsoft Azure, GCP).
• Budgeting & Spendings: Koordynacja budżetowania i monitoring wydatków, miesięczne przeglądy P&L w obszarze kosztów infrastruktury chmurowej.
• ...

• Praktyczna znajomość narzędzi FinOps (AWS Cost Explorer, Azure Cost Management).
• Umiejętność pracy z danymi: zaawansowany Excel/Google Sheets, narzędzia BI (Power BI, QuickSight).
• Doświadczenie w środowisku macierzowym i zarządzaniu projektami.
• Bardzo dobra znajomość języka angielskiego (min. B2).
• Mile widziane: znajomość ulg BR i KUP, doświadczenie w automatyzacji procesów raportowych.

• Planning, facilitating, and supervising all testing activities, including User Acceptance Testing (UAT) processes.
• Configuring workflows in Azure DevOps according to best practices to support both system implementation and operations.
• Creating and maintaining automated test cases for various applications using the Leapwork tool.
• Leading stand-up meetings and bug triage sessions, as well as effectively managing relationships with stakeholders involved in testing processes.
• Developing ...

• Experience working with Microsoft Dynamics 365FO in the context of implementation and operations.
• Proficiency in Azure DevOps, including the ability to configure workflows supporting testing and deployment.
• Practical skills in test automation for various applications using Leapwork.
• Knowledge of ITIL standards and methodologies within the scope of IT service management.
• Experience working in a regulated environment (Life Science), including ERP system validation and creating ...

• Design, build, and maintain our data infrastructure, including data pipelines, warehouses, and databases.
• Ensure data quality and integrity by implementing data validation, testing, and monitoring processes.
• Collaborate with cross-functional teams to understand data needs and translate them into technical requirements.
• Develop and implement data security and privacy policies and procedures.
• Optimize data processing and storage performance, ensuring scalability and reliability.
• Stay ...

• 3 years of experience in data engineering.
• Strong knowledge of data engineering tools and technologies, including SQL and GCP.
• Experience with big data processing frameworks, such as Spark or Hadoop.
• Experience with data warehousing solutions: BigQuery, GCP, Dataform, and Composer.
• Strong data security and privacy knowledge and experience.
• Experience with agile development methodologies is a plus.

• Develop, maintain, and monitor integrations using SAP CPI to ensure secure and reliable data exchange.
• Support issue analysis and troubleshooting for existing integration flows.
• Collaborate with project teams to gather requirements and translate them into technical integration solutions.
• Prepare and maintain technical documentation for integration developments.
• Participate in knowledge-sharing activities and internal SAP community initiatives.

• Minimum 2 years of hands-on experience with SAP CPI (Cloud Platform Integration).
• Experience with SAP PI/PO will be considered an advantage.
• Basic understanding of Java, Groovy, or XSLT scripting used in integration development.
• Understanding of SAP ERP processes (ECC or S/4HANA).
• Good command of English (spoken and written).
• Strong problem-solving skills and attention to detail.
• Ability to work collaboratively in an international environment.