List of job offers

• Development and roll-out of modules and applications such as ServiceNow.
• Collaborate with various internal teams to understand business needs and translate them into functional and non-functional requirements.
• Perform system and integration testing with sample and live data.
• Monitor health, usage, and overall compliance of the ServiceNow platform.
• Develop software solutions and ServiceNow applications based on business needs.
• Create and manage scripts and workflows within ServiceNow....

Minimum Qualifications

• Bachelor's degree in computer science with 5 years of professional experience or master's degree in computer science with 3 years of professional experience or equivalent experience.
• Object Oriented Programming experience with languages such as Python, JavaScript, etc.
• Experience with REST APIs or other relevant web technologies such as JSON, HTML, etc.

Preferred Qualifications

• Understanding of IT Asset Lifecycle Management.
• Proficient in data modeling, ...

• Perform manual and automated testing activities
• Document and track test results, ensuring defects are correctly logged
• Review and analyze project documentation
• Work closely with Production Support, Test Management, Solution Delivery, and Business Analysts
• Raise and escalate issues or risks appropriately
• Create, run, and analyze automated test scripts

• Required Skills (Exposure During Studies or Self-Learning):
• SQL
• UNIX
• XML
• Excel
• JIRA
• Agile & Waterfall methodologies
• Java/Python for test automation (ideally Java)
• API testing
• JUnit
• Optional: Any additional QA or technical tools you’ve explored
• Fluent English (spoken and written)
• Higher education degree (STEM or IT-related preferred, but all considered)
• Exposure to software testing or QA concepts through university projects, training, bootcamps, or self-study
• ...

• Work collaboratively with the engineering team and the Mobile Operator to build a network stack to support millions of users.
• Own every step of the solution from design through implementation.
• Strive for a deep understanding of core technologies while building redundancy and establishing best practices.

• BA/BS in Computer Science or related technical field is a must.
• 5 years of work experience, including programming experience in Java/any JVM language/PHP/C++/Scala/Lua.
• 5 years of experience building secure scalable web services.
• Experience with distributed systems and RESTful services.
• Good understanding of network stack and HTTP protocol.
• Experience with concurrency, multithreading, or asynchronous programming.
• Understanding of data modeling in SQL and/or NoSQL environment.
• ...

• Prowadzenie projektów end-to-end w środowisku międzynarodowym
• Koordynacja współpracy z dostawcami zewnętrznymi i zespołami wewnętrznymi
• Nadzór nad budżetem, harmonogramem i zakresem projektu
• Zarządzanie ryzykami, zależnościami i kluczowymi wskaźnikami
• Przygotowywanie dokumentacji projektowej oraz cyklicznych raportów statusowych
• Utrzymywanie efektywnej komunikacji pomiędzy interesariuszami
• Zapewnienie zgodności działań projektowych z wymaganiami sektora bankowego

• Duże doświadczenie w roli Project Managera
• Udokumentowana praca z zewnętrznymi dostawcami w projektach międzynarodowych
• Mile widziane doświadczenie w branży finansowej lub bankowej
• Certyfikaty Agile (np. CSM, SAFe Scrum Master lub równoważne)
• Bardzo dobra znajomość metodyk Agile i frameworku Scrum
• Doświadczenie w pracy z narzędziami Jira, Confluence
• Bardzo dobra znajomość języka angielskiego (codzienna komunikacja)
• Wysokie umiejętności komunikacyjne i ...

• Praca z zespołem w metodyce Agile w frameworku SAFE
• Projektowanie i rozwijanie zaawansowanych aplikacji w języku Java oraz Angular lub Vue
• Praca z technologiami i narzędziami:
• Spring Framework
• Maven
• PL/SQL
• MyBatis
• Liquibase
• OSGI
• REST
• SOAP
• SonarQube
• GitLab
• TypeScript
• JavaScript
• WebPack
• Optymalizacja i refaktoring istniejącego kodu
• Pisanie testów za pomocą JUnit, Mockito, WireMock
• Aktywna współpraca z innymi działami technicznymi i biznesowymi

• Min 5 lat doświadczenia w programowaniu w języku Java oraz Angular/Vue
• Min 3 lata doświadczenia w pracy w metodologii Agile/Scrum
• Biegłe tworzenie kodu z wybranym LLM
• Bardzo dobra umiejętność pracy w zespole i komunikatywność
• Zaawansowana znajomość Java 8
• Zaawansowana znajomość Angular / Vue
• Bardzo dobra znajomość Spring Framework
• Znajomość i praktyczne doświadczenie w procesach CI/CD w oparciu o narzędzia Jenkins / GitLab
• Doświadczenie w testowaniu pisanego...

• Poszukujemy doświadczonego FullStack .NET & Angular Regular Developera, który dołączy do zespołu pracującego nad rozwojem nowoczesnych, skalowalnych aplikacji w architekturze mikroserwisowej.
• Praca w stabilnym, doświadczonym zespole z dużym wpływem na kierunek rozwoju produktu.

• Backend:
• Bardzo dobra znajomość C#
• .NET Core
• Doświadczenie w projektowaniu i wdrażaniu systemów w architekturze mikroserwisowej
• Dobra znajomość zasad SOLID, wzorców projektowych, IoC, DI
• Doświadczenie z REST API
• Praktyczna znajomość MSSQL
• Frontend:
• Doświadczenie z Angular
• Dobra znajomość JavaScript
• Jakość kodu:
• Umiejętność pisania testów automatycznych jednostkowych
• Procesy i narzędzia:
• Znajomość procesu SSDLC
• Doświadczenie z ...

• Architecting and designing the core infrastructure of Akamai Inference Cloud, ensuring it is performant, compliant, economical, and explainable.
• Providing thought leadership on AI inference optimization, model serving architectures, and establishing technical standards for the platform.
• Making critical technical decisions on frameworks, tools, and approaches for AI workload deployment and global traffic orchestration.
• Mentoring engineers and collaborating with cross-functional teams to ...

• Broad software engineering experience with deep expertise in AI inference optimization, model serving, and LLM deployment at scale.
• Mastery of inference frameworks (TensorRT, vLLM, TorchServe, Triton), containerization strategies, and hardware-specific optimizations for AI workloads.
• Expert-level proficiency with cloud-native technologies, Kubernetes, distributed systems, and architecting services at global scale with strict SLOs.
• Strong opinions and proven experience building platforms ...

• Benchmarking and profiling AI models and inference workloads across different hardware configurations, measuring latency, throughput, and resource utilization.
• Researching and implementing model optimization techniques including quantization, pruning, distillation, and hardware-specific optimizations.
• Optimizing inference frameworks and infrastructure to maximize performance, working with TensorRT, vLLM, TorchServe, Triton, and other serving platforms.
• Establishing performance baselines ...

• Experience in performance engineering with hands-on expertise in AI/ML model optimization and inference performance tuning.
• Solid knowledge of inference optimization techniques including quantization (INT8, FP16), model compilation, hardware acceleration, and familiarity with compiler optimizations and ML compilers.
• Proficiency with GPU optimization and understanding of memory hierarchies and techniques to maximize hardware utilization.
• Experience with profiling and benchmarking tools ...

• Provide subject matter engineering, thought leadership, and project delivery related to NEP Security control issues and initiatives.
• Focus on network enforcement point (both traditional firewall and host-based) security products, solutions, architecture, and best practices.
• Apply security solutions to real-world challenges faced by HSBC to maintain and improve network security controls.
• Ensure adherence to network security standards and the wider cybersecurity control framework.
• ...

• Detailed understanding of network design, firewalling and micro-segmentation, content filtering, load balancing, DDoS, NAC, WAF, and network segmentation technologies.
• Detailed understanding of network security threats and risks.
• Extensive experience in data networks and security design and engineering, preferably in a highly regulated environment.
• Experience in data gathering from various sources including business inputs, offline spreadsheets, IT systems, etc.
• Understanding of data ...

• Leading the design and implementation of critical platform components for Akamai Inference Cloud, ensuring performance, scalability, and reliability.
• Driving technical decisions for your domain, selecting appropriate tools, frameworks, and approaches for AI inference workloads.
• Mentoring and guiding engineers on the team through code reviews, design discussions, and technical problem-solving.
• Implementing and optimizing containerized AI workloads with hardware-specific optimizations and ...

• Broad software engineering experience with relevant proficiency in distributed systems, cloud services, and platform engineering.
• Hands-on experience with AI inference, model serving, or LLM deployment with working knowledge of inference frameworks (TensorRT, vLLM, TorchServe, Triton).
• Expertise in cloud-native architectures including containerization and orchestration technologies like Kubernetes and Docker.
• Proven experience building scalable, high-performance systems with modern ...

• Complete cyber control assurance, security, and risk assessments for third-party engagements.
• Deliver all aspects of TPSA Service and Operation, ensuring efficient delivery and continuous improvement.
• Collaborate with HSBC Business and third-party stakeholders, TPSA region leads, and TPSA Team members to meet defined SLAs.
• Ensure security assessments comply with relevant regulations, standards, and internal controls.
• Communicate requirements and manage stakeholders effectively to ...

• 2 years of experience in Cyber technical or specialist roles or similar experience.
• Strong knowledge and experience of IT systems and infrastructure and data security.
• Good understanding of service management principles.
• Experience in Third Party Security Assessment Process, control testing, or audit disciplines.
• Relevant Cybersecurity certifications or knowledge is a plus.
• Genuine enthusiasm for cyber security and willingness to share knowledge and experience.
• Strong communication...

• Building and scaling a world-class engineering team from the ground up, recruiting top talent in AI infrastructure and ML operations.
• Leading the technical strategy for a global AI inference platform that is performant, compliant, economical, and explainable.
• Ensuring availability, performance, scalability, and security within the Akamai Inference Cloud environment.
• Designing global traffic orchestration for AI workloads and establishing platform standards and blueprints for ...

• Relevant experience with a track record of building and scaling high-performing engineering teams that shipped successful AI/ML products.
• Hands-on experience with AI inference optimization, model serving, and LLM deployment at scale.
• Deep knowledge of inference frameworks (TensorRT, vLLM, TorchServe, Triton).
• Expertise in cloud-native technologies like Kubernetes and distributed systems globally.
• Experience with AI application platforms (RAG, agents, fine-tuning).
• Knowledge of AI ...

• Design and implementation of solutions processing large and unstructured datasets (Data Lake Architecture, Streaming Architecture)
• Implementation, optimization, and testing of modern DWH/Big Data solutions based on Azure cloud platform and Continuous Delivery / Continuous Integration environment
• Data processing efficiency improvement, migrations from on-prem to public cloud platforms

• At least 3 years of experience in Big Data or Cloud projects in processing and visualization of large and unstructured datasets
• Practical knowledge of the Azure cloud in Storage, Compute (Serverless), Networking, and DevOps areas supported by commercial project work experience
• Theoretical Azure cloud knowledge supported with certificates (e.g., DP-900, DP-200/201, AZ-204, AZ-400)
• Familiarity with several technologies: Data Lake Gen2, Event Hub, Data Factory, Databricks, Azure DWH, API ...

• Lead AI initiatives in Finance & Risk data domain, ensuring best practices and scalability.
• Introduce and implement modern AI solutions, including generative AI and LLM-based workflows for finance.
• Analyze existing AI solutions from other areas and identify reusable components for current projects.
• Design and optimize data pipelines for AI training and inference, collaborating with finance SMEs.
• Evaluate and improve model performance, ensuring accuracy, compliance, and iterative ...

• MSc or PhD in Finance, Mathematics, Data Science, or a related quantitative/technical field.
• Strong experience in AI model development and deployment, ideally in the banking or insurance industry.
• Proficiency in Python (mandatory) and SQL.
• AI expertise in LLMs, prompt engineering, reinforcement learning, and model fine-tuning.
• Proven track record in data engineering (e.g., Databricks, Spark).
• Familiarity with finance workflows (risk modeling, valuation, forecasting, regulatory ...