Вакансии

проводить ручное тестирование (функциональное, интеграционное, регрессионное). писать качественные автотесты на Java как с использованием LLM, так и без неё.

Обязателен опыт разработки в архитектуре микрофронтед. Отличное знание JavaScript, HTML/CSS.

Разрабатывать фичи на React 19 и TypeScript в режиме strict. Уверенный опыт разработки на React: хуки, контекст, мемоизация, эффекты, управление перерисовками.

Location: Riyadh, Saudi Arabia; Cairo, Egypt; Dubai, United Arab Emirates; New Delhi, India Job Summary We are seeking a highly skilled IBM Watson AIOps / IBM Netcool Operations Insight (NOI) Consultant/Developer with hands-on experience in designing, customizing, and implementing enterprise event management and AIOps solutions. The ideal candidate will be responsible for developing customized solutions based on customer requirements, implementing automation, and creating Netcool Impact policies to support advanced event correlation and scenario-based event processing. The successful candidate should possess strong technical expertise in IBM Watson AIOps, Netcool Operations Insight, Netcool Impact, OMNIbus, event integration, and automation, along with excellent problem-solving and customer engagement skills. Key Responsibilities Design, develop, and implement IBM Watson AIOps and IBM Netcool Operations Insight (NOI) solutions. Analyze customer requirements and translate them into scalable technical solutions. Customize IBM Watson AIOps and NOI components to meet customer-specific operational requirements. Develop and maintain Netcool Impact policies for: Event enrichment Event correlation Event suppression Event automation Scenario-based event processing Business logic implementation Create policy-driven workflows to reduce alert noise and improve operational efficiency. Integrate IBM NOI with monitoring tools and third-party systems using REST APIs, JDBC, SNMP, Webhooks, Kafka, or other supported interfaces. Configure and customize IBM Netcool OMNIbus ObjectServer and probes. Develop automation workflows using IBM Watson AIOps Event Manager. Perform event mapping, event normalization, and event enrichment. Implement topology-aware event correlation where applicable. Develop dashboards, reports, and operational views. Troubleshoot and resolve issues related to IBM Watson AIOps and NOI components. Optimize system performance and improve event processing efficiency. Prepare technical documentation, solution designs, implementation guides, and operational runbooks. Provide technical support during implementation, testing, and production rollout. Work closely with customers, architects, and support teams throughout the project lifecycle. Requirements Required Technical Skills IBM Technologies IBM Watson AIOps IBM Netcool Operations Insight (NOI) IBM Netcool Impact IBM Netcool OMNIbus IBM Event Manager IBM Agile Service Manager (ASM) IBM Cloud Pak for AIOps (preferred) Development Skills Netcool Impact Policy Development JavaScript (Impact Policies) SQL REST APIs XML / JSON Shell Scripting (Linux) Python (preferred) Integration Skills SNMP Web Services REST API Integration JDBC Kafka Webhooks Message Queues Infrastructure Knowledge Linux Administration Red Hat OpenShift Docker / Kubernetes Networking Fundamentals TCP/IP SSL Certificates Required Experience 5+ years of experience with IBM Netcool products. 3+ years of experience with IBM Watson AIOps or IBM Cloud Pak for AIOps. Proven experience developing Netcool Impact policies. Experience implementing event correlation and event automation solutions. Experience integrating enterprise monitoring platforms into IBM NOI. Strong troubleshooting and debugging skills. Experience working in production support environments. Experience with customer-facing solution implementation projects. Preferred Qualifications IBM Watson AIOps Certification. IBM Netcool Certification. Experience with OpenShift and Kubernetes. Experience integrating ServiceNow, Maximo, or enterprise ITSM platforms. Knowledge of DevOps, CI/CD, and automation tools. Familiarity with AI-driven event analytics and anomaly detection. Soft Skills Excellent analytical and problem-solving skills. Strong verbal and written communication. Ability to work independently and as part of a team. Customer-focused approach with strong stakeholder management skills. Ability to manage multiple priorities in a fast-paced environment. Education Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline. Equivalent industry experience will also be considered. Preferred Candidate Profile The ideal candidate should have deep expertise in IBM Watson AIOps and Netcool technologies, with a proven ability to develop customized solutions and Netcool Impact policies that automate event management, reduce operational noise, and address complex customer requirements. Experience in designing scenario-based event correlation and automation workflows within enterprise environments is highly desirable.

Location: Albania; Azerbaijan; Georgia; Serbia; Slovenia; Poland Intetics Inc. , a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced Go Developer to join our dynamic team on a full-time basis. We are looking for a Senior/Lead Go Backend Engineer with strong Identity and Access Management (IAM) expertise to design, build, and operate secure, high-performance authentication services. The candidate should have 7+ years of backend engineering experience, including 5+ years with Go and 3–4+ years working with authentication, authorization, SSO, MFA, OAuth 2.0, OpenID Connect, JWT, and session management in production environments. Project Responsibilities: - Design, develop, and operate high-throughput, low-latency identity services: Single Sign-On (SSO), Multi-Factor Authentication (MFA), session management, and federation. - Own features end-to-end from design through production and support. -Implement and scale modern authentication and authorization protocols and token formats (OAuth 2.0, OpenID Connect, JWTs), including secure token issuance, rotation, and revocation strategies. -Write clean, concurrent, and highly performant backend services primarily in Go; design idiomatic, testable code and clear API contracts (gRPC/HTTP). - Use your DevOps experience to deploy, manage, and automate identity infrastructure (CI/CD, monitoring, and incident response). - Serve as the subject matter expert on authentication and identity: own internal security reviews, threat modeling for identity flows, and guide other teams on secure integrations with our platform. Integrate and maintain solutions with custom and standard identity providers (e.g. Keycloak and AWS Cognito), and federation patterns. - Mentor engineers, conduct design reviews, and contribute to the team's technical roadmap and security posture. Requirements 7+ years of backend engineering experience, including 5+ years with Go and 3–4+ years working with authentication, authorization, SSO, MFA, OAuth 2.0, OpenID Connect, JWT, and session management in production environments Strong production experience with Go and gRPC; building complex distributed backend systems Deep knowledge of authentication and authorization: OAuth2, OIDC, RBAC, JWT, token security, session management, cryptography Strong understanding of web security, federated identity, secure coding, and OWASP Top 10 Hands-on experience with AWS, Kubernetes, and Terraform Experience designing high-throughput, low-latency systems with a focus on security and correctness Strong communication skills; able to explain security and architecture trade-offs to technical and non-technical stakeholders Nice to have: Experience with SAML, SCIM, PKI, JWKs/JWKS endpoints, key management (KMS/HSM) and token introspection. Working knowledge of identity platforms (commercial or open source), rate limiting, abuse mitigation, and adaptive authentication. Experience with IntelicsML

Разработка и сопровождение внутренней CRM системы для управления объектами недвижимости и клиентскими данными. Реализация серверной и клиентской логики с использованием Java (Spring Boot) не ниже 11, PostgreSQL, MySQL.

Senior QA Компания: Devquality Локация: РФ Формат работы: Удаленно Зарплата: до 157 000 ₽ на руки Требования Гражданство: только РФ Уверенный TypeScript, опыт разработки и поддержки автотестов для Frontend и Backend от 3 лет.

-3+ years of experience in software development. -Hands-on experience building for the web, including HTML, CSS, responsive layouts, and browser APIs.

- Design, build, and evolve the company’s quality engineering platform and testing architecture. - Build and maintain reusable testing frameworks, shared libraries, fixtures, and developer tooling.

-Опыт коммерческой разработки от 4 лет.

-Опыт работы в QA от 5 лет, включая ручное и автоматизированное тестирование, в том числе от 3 лет коммерческого опыта в QA Automation.

-Разработка и поддержка серверных приложений и микросервисов на Java. -Проектирование и разработка высоконагруженных REST API.

• Ручное и автоматизированное (с нуля) тестирование Web и Mobile. • Разработка и поддержка автотестов.

-Организация хранения данных. -Доработка и создание API в СУБД.

- Функциональное, интеграционное, E2E, smoke- и regression-тестирование; - Анализ требований и документации, выявление рисков;

Вы проектируете проверки, ставите задачи AI, проверяете результат и доводите решение до надежной работы в проекте Чем предстоит заниматься: Автоматизировать приоритетные сценарии с учетом риска для игрока и бизнеса: критичные игровые механики, сохранение прогресса и интеграции;

Роль предполагает руководство командой DevOps и инфраструктурных инженеров, развитие архитектуры и надежности инфраструктурных решений, автоматизацию процессов развертывания и эксплуатации, внедрение практик CI/CD, а также обеспечение отказоустойчивости и масштабируемости систем.

Location: Beograd, Serbia Workplace: hybrid About the role We’re looking for a highly autonomous Senior Data & ML Engineer who wants to be the true owner of how data works for the teams they support, delivering solutions completely end-to-end, from initial scoping and design through to delivery, implementation, and full business adoption. Operating with full autonomy, you will work directly with both commercial stakeholders (Product, Finance, Operations, Compliance, and Marketing) and engineering teams. You will translate complex needs into well-defined and well-modelled data products, using scalable processes and pipelines, ensuring those solutions are trusted, documented, and actively used to drive business value. Beyond foundational data architecture, you will support and lead machine learning engineering efforts. You will lead machine learning engineering efforts by transitioning predictive models into production. This involves building the infrastructure, automated MLOps pipelines, and serving architectures required to deploy, monitor, and maintain machine learning solutions at scale. What You’ll Be Doing Data Engineering and Platform Design, build, and maintain data pipelines and transformations on Databricks using Python, PySpark, and SQL. Deploy, operationalize, and monitor machine learning models (MLOps) in production environments. Build and maintain data marts as the primary source of truth for key business domains. Apply data modelling practices (e.g., dimensional modelling, medallion architecture) to maintain data consistency and reusability. Implement data quality checks, monitoring, and alerting. Optimise pipeline performance and cost-efficiency. Lead and actively contribute to engineering standards and process improvements across the data team. Ownership and Stakeholder Management Act as the primary data partner for specific business areas, understanding their processes, goals, and pain points. Deliver end-to-end solutions, managing scoping, discovery, design, delivery, user adoption, and iteration. Gather and translate business requirements into technical solutions. Communicate with engineering peers and commercial stakeholders to define priorities and manage trade-offs. Identify opportunities where data or machine learning can improve decisions, efficiency, or customer outcomes. Enablement and Self-Service Build and maintain datasets that power reporting and dashboards in Preset. Onboard and support users on Preset to promote data self-sufficiency. Promote data practices, including data definitions, documentation, and governance. What You’ll Need to Be Successful 5+ years of experience as a Data/ML Engineer, with a track record of independently owning data/ML solutions from scoping to adoption. Proficiency in Python, SQL, and PySpark/Spark. Experience with modern data platforms, such as Databricks (Delta Lake, Unity Catalog, MLflow, workflows). Stakeholder management skills, with the ability to navigate commercial and engineering discussions, manage expectations, and drive cross-functional decisions. Data modelling skills and experience designing data marts for analytics and reporting. Experience building production pipelines with orchestration, testing, monitoring, and version control. Experience with BI tools (e.g., Preset, Tableau, Metabase, Power BI) and data usability principles. Demonstrated accountability for project outcomes and commercial impact. Clear, structured communication in English. Nice to Have Experience in ML Engineering, including deploying machine learning models to production, maintaining MLOps pipelines, and integrating models into data platforms. Experience in fintech, financial services, or payments, particularly regarding transaction, reconciliation, settlement, or regulatory reporting data. Experience with sensitive or regulated data and an understanding of data privacy and governance (e.g., GDPR). Experience with infrastructure as code (Terraform/Tofu), cloud platforms (AWS, Azure, or GCP), and data engineering CI/CD. Experience mentoring engineers or analysts. Interest in applying AI tools to improve data engineering productivity and quality. Why Join Paysend? Make a Global Impact: Join a company that is transforming how people and businesses move money around the world. Your work will contribute to products and services that help millions of customers stay connected globally. Own Meaningful Outcomes: We empower our people to take ownership, make decisions, and drive real impact. You'll have the opportunity to shape solutions, challenge the status quo, and see the results of your work firsthand. Grow with Us: As a fast-growing global fintech, we offer opportunities to learn, develop new skills, take on new challenges, and advance your career across functions and geographies. Collaborate with Exceptional People: Work alongside talented colleagues from diverse backgrounds and disciplines who are united by a shared ambition to build, innovate, and deliver great outcomes for our customers. Move Fast and Make Things Happen: We value action, curiosity, and continuous improvement. You'll be part of a culture that encourages experimentation, embraces change, and focuses on delivering meaningful results. Be Part of Our Journey: We're building the future of the global money movement. Join us at an exciting stage of growth where your ideas, expertise, and contributions can help shape what's next.