Вакансии

-Разработка сервисов и интеграций в составе команды высоконагруженного проекта. -Разработка нового функционала и развитие существующего под руководством старших разработчиков.

-Проектирование и разработка LLM-сервисов и API (REST/gRPC) для интеграции с внешними системами. -Создание и оптимизация RAG-пайплайнов и систем гибридного поиска для повышения качества и точности ответов.

— Проектировать и развивать архитектуру платформы и доменную модель: заявки, биллинг, платежи, лицевые счета, пропускные системы. — Принимать ключевые технические решения, оценивать trade-offs, доводить их до реализации и описывать в виде понятных команде договорённостей.

Location: Belgrade, Remote Workplace: remote Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 15 million users choose Tabby to stay in control of their spending and make the most out of their money. The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 40,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores. Tabby generates over $10 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region. Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $4.3 billion. We are forming a new Observability team responsible for the design, evolution, and operation of our company-wide monitoring, logging, and tracing platforms. This role is a key part of our strategic shift from Datadog to a self-hosted observability stack fully compliant with local regulatory requirements. Today, we operate multiple observability systems — our legacy stack based on Datadog (logs, metrics, APM, RUM, dashboards, and alerts), and our new Elastic Enterprise platform used for storing audit, access, application, and database logs required by regulators. On top of Elastic, we've built SOC2 and SIEM integrations with external vendors. You'll be part of a small, highly technical team tasked with defining the future of observability at scale - designing, migrating, and maintaining the platforms that power visibility, compliance, and reliability across the organization. Key Responsibilities Build and operate the new observability platform on Kubernetes: telemetry collectors, Kafka-based ingestion and processing pipelines, and the storage and query layer (ClickHouse, Mimir, Grafana) Automate the platform's infrastructure with Terraform, Helm, and GitOps tools (FluxCD or ArgoCD) Troubleshoot the platform end-to-end (Kubernetes, networking, pipelines) and plan its capacity, scaling, and cost Support and gradually decommission Datadog integrations (logs, metrics, APM, RUM, dashboards, monitors) Collaborate with SRE, DevOps, and Security teams to ensure observability compliance and integration with SOC 2 / SIEM Define and maintain SLIs, SLOs, and error budgets, improving service reliability and visibility Document architecture, data flows, and best practices Requirements: Must Have: 4+ years in DevOps / SRE / Observability roles 3+ years running production workloads on Kubernetes Infrastructure as code with Terraform Solid Linux and networking fundamentals, with strong troubleshooting skills Hands-on experience with a public cloud (GCP preferred; AWS or Azure also welcome) Experience building or operating data pipelines or observability platforms at scale (logs, metrics, or traces) Nice to Have: OpenTelemetry (collectors, Grafana Alloy, instrumentation) Kafka and ClickHouse Hands-on experience with metrics and APM platforms (Prometheus, VictoriaMetrics, Mimir, etc.) and Grafana Elastic Stack (Elasticsearch, Logstash, Kibana, Beats, log shippers) Exposure to security monitoring / SIEM integration Service mesh (Istio) Why Join Us: Design and build the next-generation observability platform from the ground up Work on large-scale, multi-cloud environments with a strong focus on compliance, performance, and reliability Collaborate with experienced SRE, Platform, and Security teams Competitive compensation, remote work model, and strong career growth opportunities What we offer: Full-time B2B contract Fully remote setup, work from anywhere in Europe Up to 20% tax allowance 22 paid leave days annually Stock options (ESOP) in a fast-scaling, pre-IPO company Flexi benefits you can use for wellness, travel, or learning Work alongside a high-performing, international engineering team in a global fintech unicorn Relocation support is available to our hubs in Armenia, Georgia, Serbia, and Spain, including flights, temporary accommodation, and legal setup.

Опыт в функциональном тестировании от 3 лет; Опыт в автоматизированном тестировании от 2 лет (обязателен опыт работы с RestAssured);

Location: Kyiv Workplace: onsite Ajax Systems, an international tech company and the largest manufacturer of security systems in Europe. We are looking for a new team member to join our System devisions as Java Developer. The System Division is responsible for building and developing the Ajax software ecosystem. The team develops and maintains OS Malevich and the Video Management System, builds scalable cloud infrastructure, and creates client applications for multiple platforms, ensuring that all system components work together as a unified ecosystem. The division works with Java, Kotlin, Swift, C, C++, and Python. It includes embedded, cloud, mobile, and desktop engineers who ensure the stable operation of Ajax as a single digital platform. Required skills: 5+ years of commercial experience in backend development with Java in an enterprise environment. Strong understanding of Java Concurrency and hands-on experience with concurrent programming in production systems. Solid understanding of SOA, microservices and event-driven architecture. Practical experience with cloud computing platforms. Experience building and supporting high-load, scalable and highly available systems; Hands-on experience with messaging brokers. Strong understanding of modern backend infrastructure, NoSQL, key-value databases and in-memory storage solutions. Practical experience with Kubernetes. Experience with Git, Gradle or othet CI/CD tools. Strong knowledge of unit testing and automated testing approaches   Would be a plus: experience with these technologies: Redis, Netty, Akka, NATS, AWS, Kafka, MongoDB, gRPC. Practical experience with Kotlin. Desire to grow into a team leadership role. What you will do:   design and develop core backend services and data pipelines for the product line. Build clean, maintainable, and production-ready code with a strong focus on quality. Contribute to backend architecture, drive technical decisions and document solutions for reliable deployment and operations. Ensure proper test coverage with unit and integration tests. Take ownership of performance, scalability and cost efficiency within your domain. Maintain production reliability through monitoring, alerting, dashboards, and runbooks. Investigate and resolve production issues, including deep-dive analysis of complex cases. Work in a strong engineering culture with testing, continuous delivery and DevOps practices. Collaborate closely with product and engineering teams to deliver new features and improve existing services.   We offer:   The opportunity to suggest and implement your own ideas that directly influence the product and its mass production A place in a fast-growing company with a motivated and professional team Competitive salary Medical insurance English classes The opportunity to participate in Ajax’s internal beta-testing program for security systems  Discounts from partner companies Discounts on Ajax products

отличные навыки troubleshooting/debug желателен опыт работы в финтехе Ты будешь: проводить code review участвовать в принятии архитектурных решений оценивать сложности задач и прогнозировать трудозатраты не исключено, снятие и разбор дампа процессов участвовать в проведение оптимизаций в коде/инфраструктуры.

– Опыт ручного тестирования от 3 лет; – Навыки тестирования API (REST/gRPC), работа в Postman, анализ сниффер‑трафика;

Location: London, United Kingdom Workplace: none About InvestEngine InvestEngine is a fast-growing, London-based fintech on a mission to make ETF investing simple and accessible. More than 150,000 customers trust us with over £3.5 billion in assets, and we’ve been featured by Forbes, MoneyWeek and Finder. And we’re just getting started. About the Role We’re looking for a Middle Backend Engineer to join our Backoffice team. Backoffice is the technical foundation behind our growing business: the internal systems, workflows and integrations that Operations, Compliance and Business teams rely on every day. As the company scales, there are more processes to automate and more systems to strengthen than the current team can deliver. This isn’t a role for fast ticket execution. You’ll own problems end-to-end: understand how a back office process actually works, find where it can be automated or made more reliable, design a sound solution, align with the teams who depend on it and drive it through to production. It’s a hands-on engineering role with no people management. What You’ll Do Build and maintain backend services in Python 3.11 with Django / DRF Automate back office processes and workflows, working directly with Product, Compliance and Business teams Question proposed solutions and help shape the right one before building it Design and improve REST APIs for internal and external integrations Work with MySQL and Redis to improve performance, reliability and scalability Investigate and resolve production issues, find bottlenecks and reduce technical debt Contribute to architecture discussions and technical decisions in your area Improve our development processes and internal tooling Keep code quality, testing and engineering practices at a high standard Work with Git and CI/CD pipelines (TeamCity, GitHub Actions) What We’re Looking For 3+ years of backend development experience Strong Python skills and good knowledge of Django or a similar framework Solid understanding of relational databases, caching, REST APIs and service design Experience troubleshooting production issues Ownership: you can take a task and see it through independently Familiarity with Git, CI/CD practices and modern development workflows Good communication and problem-solving skills English at B2 level or higher, and fluent Russian Nice to Have Experience in fintech, regulated industries or internal B2B tools AWS and Docker Message brokers such as RabbitMQ or Kafka Open-source contributions or side projects No prior fintech experience is required. How We Work We’re a lean, collaborative engineering team where developers have real influence on architecture, product direction and engineering culture. You’ll have autonomy, trust and support while working on business-critical systems that scale with the company, without micromanagement or unnecessary bureaucracy. What We Offer Impact from day one on the systems that keep the business running Growth opportunities and increasing responsibility over time Influence on architecture and the long-term development of our platform Modern stack: Python 3.11, Django, MySQL, Redis, AWS, GitHub, TeamCity Fully remote, work from anywhere Unlimited vacation A supportive and experienced engineering team Hiring Process HR interview with our Talent team Technical interview with the Backend team Gamified cognitive assessment to understand how you think and problem-solve Final conversation with our CTO

Уверенный разработчик на Java или Kotlin. Хорошо знает SQL и умеет работать с реляционными базами данных.

• Backend: опыт разработки на .NET, проектирования и интеграции REST API, работы с Kafka и MS SQL Server. • Frontend: опыт разработки на JavaScript с использованием React или Vue, уверенное владение HTML и CSS.

▪️ От 3 лет коммерческой разработки интеграций на Python 📅.

Опыт разработки микросервисов и REST API, понимание Reactive / Non-blocking подхода, практический опыт с Project Reactor / WebFlux, Kafka и базами данных.

В команду листинга (сервис коммерциализации товаров) мы ищем аналитика, который будет работать на всех этапах жизненного цикла продукта: от сбора и валидации требований до приемочного тестирования и сопровождения внедренных решений. ● Опыт самостоятельного ведения задачи от бизнес-требований до релиза.

Задачи: — Проектирование и разработка backend-сервисов на Java. — Реализация транзакционной и финансовой логики. — Создание REST / gRPC API. — Развитие Event-Driven архитектуры на Kafka / RabbitMQ. — Работа с PostgreSQL: транзакции, уровни изоляции, блокировки и оптимизация сложных запросов. — Обеспечение надёжности распределённых систем. — Решение задач идемпотентности, обработки ошибок и concurrency control. — Участие в развитии инфраструктуры и технической архитектуры продукта. Требования: — Опыт коммерческой backend-разработки на Java от 4 лет. — Глубокие знания Java Core и Spring Boot / Spring Framework. — Опыт работы с микросервисной архитектурой и распределёнными системами. — Отличное владение SQL. — Глубокое понимание PostgreSQL: транзакции, уровни изоляции, блокировки, оптимизация производительности. — Практический опыт проектирования REST / gRPC API. — Опыт работы с Kafka / RabbitMQ. — Знание Docker, Kubernetes и CI/CD. — Опыт работы с инструментами observability. Условия: удалённая работа.

Location: San Jose, California, United States Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Opportunity We are looking for an experienced engineer to lead the architecture and hands-on development of the ML and data infrastructure behind our risk and fraud prevention systems. You will help teams move models from experimentation into reliable production services, improve model execution performance, and build scalable data foundations for training, evaluation, and real-time decisions. What You’ll Be Doing Improve model inference latency, throughput, resource utilization, and cost. Profile the full prediction path —from feature retrieval and preprocessing to model execution — and deliver measurable improvements without unacceptable model-quality regressions. Build reusable infrastructure for model packaging, versioning, deployment, serving, monitoring, and rollback across cloud platforms and regions. Design and optimize offline data pipelines on Databricks, Apache Spark, and warehouse/lakehouse technologies, addressing data modeling, partitioning, joins, shuffles, skew, incremental processing, and cost. Connect offline and online feature pipelines, ensuring point-in-time correctness, consistent feature definitions, freshness, lineage, and reproducible backfills. Evolve reliable feature services and data integrations supporting risk models and decision systems. Set technical direction, mentor engineers, and lead delivery across ML, data engineering, cloud infrastructure, security, and product teams. What We Look For In You A record of building and operating large-scale distributed systems, ML infrastructure, or data platforms, with technical ownership across teams. Hands-on experience optimizing production model performance, supported by measurable improvements in latency, throughput, utilization, or cost. Deep understanding of Databricks and Spark, or comparable offline data platforms, including execution plans, distributed query optimization, storage layouts, data correctness, and workload cost management. Experience with the model lifecycle, including training/serving integration, validation, deployment, observability, and rollback. Strong Python, SQL, and at least one backend or systems language such as Java, Scala, Go, or C++. Ability to turn ambiguous requirements into clear architecture and deliver maintainable systems through hands-on engineering and technical leadership. Nice to Haves SageMaker, Alibaba Cloud PAI/EAS, or comparable ML platforms. Inference optimization using tools such as ONNX Runtime, TensorRT, or Triton. Delta Lake, MLflow, feature stores, Kafka, Flink, and low-latency data stores. Fraud detection or financial risk systems. Fluency in Mandarin Perks & Benefits Competitive total compensation package L&D programs for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $214,666 to 321,999 The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. #LI-SK1 #LI-HYBRID Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: New York, Chicago, or Remote CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the multi-trillion-dollar insurance economy , creating intelligent experiences for insurers, repairers, automakers, part suppliers, and more. At CCC, we’re making life just work by empowering more than 35,000 businesses with industry-leading technology to get drivers back on the road and to health quickly and seamlessly. We’re pushing boundaries with innovative AI solutions that simplify and enhance the claims and repair journey. Through purposeful innovation and the strength of its connections, CCC technologies empower the people and industry relied upon to keep lives moving forward when it matters most. Learn more about CCC at www.cccis.com . The Role As a Senior Software Engineer - Agentic you will build the event-driven systems that keep claims moving for our customers, connecting our AI agents to the rest of CCC. When these systems work, claims move faster and the machinery stays invisible. Agentic coding tools are how you move fast. What you add is what they are worst at: distributed-systems design, correctness when things fail partway, and the debugging nobody else gets to the bottom of. You own a product area end to end and define the reliability bar it ships against. Salary range is: $180,000 - 225,000 This position is bonus eligible. Key Responsibilities: Own the delivery of backend services, built in Python and TypeScript, from an ambiguous problem, scoped with product managers and data scientists, through production operation. Build and operate durable, event-driven, multi-tenant systems in which agents run as steps inside deterministic workflows, designing their failure modes, replay semantics, and cost profile before they show up under load. Own tracing and audit for your area: every model call and agent step recorded, so any recommendation can be reconstructed and cited back to its sources by on-call and auditors alike. Own how claims automation data is modeled and managed across our relational, document, and graph stores. Ensure the security and isolation of sensitive data. Author the design documents for complex systems to get feedback and buy-in, review other engineers' designs and code with the same care, and mentor the engineers in your area. Raise the bar for how the team works with agentic coding tools: sharpen the specifications, instruction files, hooks, and permission policies they run under, and hold generated code to the same review standard before it merges. Take part in a shared on-call rotation for the systems you own. Requirements: 6+ years of professional software engineering experience, including an event-driven system you designed, shipped to customers, and ran in production. Python and TypeScript at the level of setting a team's conventions, plus a background in a systems language such as Rust, Go, Java, or C#. Strong computer science and distributed-systems fundamentals you use at work: concurrency, consistency, ordering, and how systems fail. Event-driven systems built on a broker such as Kafka, Azure Event Hubs, or Service Bus that handle duplicate, late, and failed events without losing or double-processing work. Data modeling and development across relational, document, and graph databases such as PostgreSQL, MongoDB, and Neo4j, including when each type fits and the partition-key, consistency, and tenant-isolation calls you made. Systems architected and operated on Azure or AWS, with CI/CD and infrastructure as code, and hands-on time with a durable workflow engine such as Temporal or the Durable Task Scheduler. A clear account of how you constrain an agentic coding tool's context and verify its output, from daily use of Claude Code, Cursor, GitHub Copilot, or similar on production work, plus changes you turned back, and why. Technical design documents you have authored for systems that span more than one team, used to get feedback and buy-in before building, and that those teams then built to. Clear writing and discussion for technical and non-technical audiences: drawing out a customer's real problem and explaining the trade-offs back to them. Even Better if You Have: React and TypeScript experience, so you can deliver a full-stack feature end to end, especially chat, streaming, and citation-heavy AI experiences. Formal methods or fault-injection testing, such as Lean, TLA+, or deterministic simulation. Performance work below the application layer: profiling, memory, and concurrency tuning. Familiarity with how AI agents reach their tools and enterprise systems, through the Model Context Protocol (MCP), the Agent2Agent (A2A) protocol, command-line tools, and microservices. Exposure to the insurance, claims, or automotive repair domains. What Success Looks Like: In your first six months, services you built run in production against SLOs you set, and you can show they held as load grew. You are trusted with the hardest correctness and scale problems, and you turn them into a design, a shipped system, and a number you can put in front of a customer. You are energized by what agentic coding tools make possible. Your team ships more than its headcount suggests, and your specifications and reviews are why the output survives production. You have a passion for systems that last: failures are designed for in advance, and when one happens anyway, the trace says exactly where. Standards you set for reliability, reviews, and design documents outlive the project they started on. Engineers you mentor ship reliable services without your direct involvement. You enjoy getting a product manager, a data scientist, and a customer's team into one room and coming out with a single agreed scope, and you can argue a position without needing to win it. You embrace our ambitious, collaborative, and empathetic values, and you like problems where the answer has to be measured rather than argued. Interview Policy & Privacy Notice: A video interview is required for this position. Video interviews are transcribed. Transcriptions are retained and may be reviewed by CCC and our recruiters. Candidates are not permitted to use generative AI or automated assistance during the interviews unless explicitly allowed by the interview team for a specific exercise. Our Job Applicant Privacy Notice is available HERE . About CCC's Commitment to Employees: CCC Intelligent Solutions understands that our employees play an integral role in our vision to shape a world where life just works. Our team is defined by our values of Integrity, Customer-Focus, Innovation, Inclusion & Diversity, Tenacity, and Connection. Through diverse perspectives, purposeful innovation, and the strength of connections, our technologies empower the people and industry relied upon to keep lives moving forward when it matters most. At CCC, together everyone can thrive as we innovate and collaborate, creating employee experiences that just work. We are committed to providing opportunities for our people to make real-life impacts, advance in their careers, and contribute to CCC’s success. CCC offers competitive compensation and benefits to support you and your families, including: 401K Match Paid time off Annual Incentive Plan Performance Bonus Comprehensive health insurance Adoption Assistance Tuition Reimbursement Wellness Programs Stock Purchase Plan options Employee Resource Groups For more information about our benefits, please check out our careers site . Here, you belong. You are seen, valued, and respected. We celebrate you for who you are and all you bring. Every voice is heard and is important to our success. You can hear what employees have to say about our culture here

Location: Yerevan, Armenia We are looking for a Middle .Net Developer to support the design and delivery of distributed backend solutions for a Banking App. In this role, you will work with modern .NET technologies, architectural patterns, databases, integration mechanisms, and DevOps practices in an onsite setup in Armenia. The Banking App is a financial domain project delivered from the client's office in Armenia. It is centered on developing reliable and scalable .NET based solutions with a strong focus on architecture, integration, performance, and operational quality. Develop backend solutions using the .NET ecosystem Design software architecture using Clean Architecture and microservices principles Apply design patterns and SOLID principles in implementation decisions Build and support distributed systems for scalable application workflows Optimize SQL queries and database performance Design database structures with a focus on efficiency and maintainability Implement system integration patterns using REST and messaging Collaborate on software quality and testing strategy execution Improve application performance and scalability mechanisms Work with containerization technologies including Docker and Kubernetes Support CI/CD environments and DevOps processes Integrate message brokers such as RabbitMQ and Kafka into backend workflows Implement observability practices through logging and monitoring Contribute to the design and implementation of AI powered systems Work from the client's office in Armenia as part of project delivery Experience as a Middle .Net Developer English language proficiency Knowledge of software architecture including Clean Architecture and microservices Knowledge of design patterns and SOLID principles Understanding of distributed systems Knowledge of performance and scalability mechanisms Knowledge of database design and optimization Knowledge of system integration patterns including REST and messaging Knowledge of software quality and testing strategies Advanced knowledge of the .NET ecosystem SQL and database performance optimization skills Knowledge of containerization technologies including Docker and Kubernetes Knowledge of DevOps processes Knowledge of message brokers including RabbitMQ and Kafka Knowledge of observability practices including logging and monitoring Practical knowledge of microservices architecture Knowledge of algorithms and software performance optimization Up to date knowledge of designing and implementing AI powered systems Knowledge of CI/CD environments and DevOps processes Ability to work from the client's office in Armenia