科技職缺
職缺列表
DevOps Site Reliability Engineer / SRE
Senior DevOps/SRE maintaining Rosgosstrakh's insurance platform: deploys releases, manages prod/stage/dev environments, builds Terraform/Ansible IaC, runs GitLab CI pipelines, and operates Kubernetes, PostgreSQL, and Prometheus/Grafana/VictoriaMetrics monitoring.
Python Developer
Python Developer building an AI-powered sales bot for motor insurance, integrated with the 11 bits platform and a Java/Spring Boot backend. Core stack is Python (FastAPI/Flask/Django), REST APIs, OAuth 2.0/JWT, and security-by-design practices.
Senior Automation QA Engineer (Python)/ Инженер по тестированию
Senior QA automation engineer building and maintaining a Python test framework for an AI-powered copilot/chatbot/agent platform, automating backend and frontend checks with Playwright, pytest, and asyncio.
Sr. Manager, AI Software Engineering
Our Purpose At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them…
DevOps Engineer, Professional Services R&D
DevOps Engineer role within Okta's Professional Services R&D team, supporting the infrastructure that powers Okta's identity-security platform. Based on-site in Bengaluru, India.
Senior .NET Developer
Senior back-end .NET developer role building scalable, event-driven backend services for an ASX-listed financial services firm. Day-to-day work centres on C#/.NET Core, ASP.NET Core REST/gRPC APIs, message brokers (Azure Service Bus, Kafka, RabbitMQ), and SQL/NoSQL data integration.
DevOps Engineer (GitHub Actions)
DevOps Engineer focused on building and maintaining CI/CD pipelines with GitHub Actions, Docker containerization and OCI image publishing, build automation with Maven/Gradle/Angular, and SonarQube quality gate integration.
Senior Frontend Developer - Angular
Senior Frontend Developer building cloud-based micro-frontend web libraries with Angular, TypeScript, and SCSS, applying best practices in testing and code review while supporting development tooling in cloud infrastructure.
Senior Backend Developer
Senior backend developer at MTP designing and building robust, scalable Java backend services and RESTful APIs for client applications, working with Spring, microservices, PostgreSQL/MongoDB, Docker/Kubernetes, and cloud platforms (AWS/GCP/Azure) in a hybrid Madrid setup.
Data Scientist
Data Scientist role building and deploying ML models with Python (scikit-learn, pandas, XGBoost) focused on anomaly detection. Day-to-day work covers data preparation, feature engineering, querying Elasticsearch with SQL, and productionizing models via MLOps tooling on Docker, Kubernetes, and Linux.
Senior/Senior+ ML Engineer (DLP)
Senior ML Engineer building and maintaining production ML services for a corporate Data Loss Prevention (DLP) cybersecurity product. Day-to-day work spans CV/NLP model development, LLM inference optimization, and end-to-end ML pipeline ownership using Python, PyTorch, ONNX, Triton, and vLLM.
Senior QA Engineer
Senior remote QA engineer manually testing high-load backend services (PHP, Node.js) and REST APIs, maintaining cases in Qase TMS, running Grafana K6 load tests, triaging logs in Grafana, and collaborating with product, DevOps, and developers.
Ведущий инженер по сопровождению (1С)
Lead support engineer for 1C enterprise platforms at Sberbank in Moscow: configures client-side 1C components, deploys and maintains Linux/Docker/Kubernetes infrastructure, and supports PostgreSQL, Nginx, Kafka, and monitoring stacks (Grafana/Prometheus/Kibana) for the bank's digital services.
AI Agent Engineer (NLP/LLM)
Builds multi-agent AI systems and RAG pipelines on LangGraph/FastAPI for an electrical-equipment manufacturer's corporate stack, integrating LLMs with enterprise systems (1C, Bitrix, CRM, WMS) and packaging solutions as microservices.
AI & Data Solutions Architect
Architect scalable AI and Data solutions — predictive models, generative AI tools, recommendation engines — while guiding integration with enterprise platforms and moving R&D into production via CI/CD, Python, TensorFlow, PyTorch, and Kubernetes.