科技職缺
職缺列表
Software Engineer II
Mid-level Software Engineer on Level Data's Talent team, building data infrastructure for K-12 education state agencies. Day-to-day work is hands-on feature delivery across a C#/.NET and SQL Server core with React/Node (TypeScript) frontends and Postgres on newer services, in a fully remote Scrum team.
AI & Machine Learning Engineer
Design and build scalable AI/ML and data science solutions for clients across telecom, media, and tech sectors. Day-to-day work spans Python-based ML pipelines, Generative AI (LLMs, RAG, LangChain, LlamaIndex), MLOps on AWS/Azure, and technical team leadership.
QA-инженер (финтех / крипто)
QA engineer at a Belarus-based fintech/crypto product company, performing functional and non-functional testing of payment and digital-asset workflows. Tests REST APIs with Postman and Swagger, analyzes traffic in DevTools, writes bug reports and test cases, and collaborates with developers via Jira.
Mid-level Software Engineer (C# and .NET)
Mid-level Software Engineer developing full-stack web applications for Motorola Solutions' public safety and security products, working with C#/.NET Core on the backend and Angular/TypeScript on the frontend, deployed to Azure cloud.
Аналитик DWH
DWH Analyst on a large banking project developing and evolving the bank's Unified Data Warehouse. Day-to-day work covers analyzing and onboarding data sources to DDS, prototyping and testing data marts on the DMT layer, and writing project documentation (TZ/S2T) using SQL and Data Vault methodologies.
MLOps Engineer
MLOps Engineer at Aston (outsourcing IT firm) building MLOps infrastructure and AI agent platforms for a major Russian commercial bank. Stack covers Kubeflow/MLflow/Airflow, Docker/Kubernetes, GCP/AWS/Azure, Spark, Greenplum, and LLM frameworks (LangChain, Hugging Face, vLLM).
Backend Java Developer
Backend Java Developer – Data Fabric / Platform Engineering Location: Pune (Hybrid) Employment: Permanent Experience: 4 to 8 years If your idea of backend engineering is more than CRUD APIs and microservices…
Data Engineer
Build and maintain an in-house data warehouse, design ETL pipelines, and ensure data is accessible and consistent for a social ecommerce platform serving 30M+ monthly users. Works with Python, SQL, AWS (S3, Lambda, IAM), and columnar databases like Clickhouse, BigQuery, and Redshift as part of an offshore development team.
DevOps инженер со знанием платформы ЦФТ/ Проектная работа / АУТСТАФФ
Senior DevOps engineer embedded into a banking client's team (outstaff) to lead the migration from Oracle to PostgreSQL while administering the CFT-Bank platform, building CI/CD pipelines, and configuring app servers and message brokers. Fully remote, 5/2.
Power BI Analyst
Middle BI Analyst building and optimizing advanced Power BI dashboards, DAX/Power Query models, and SQL queries while gathering business requirements for a fintech company focused on housing/mortgage transactions.
Системный аналитик
Middle System Analyst at a fintech company in Saint Petersburg building digital platforms for real estate transactions. Day-to-day work involves gathering and formalizing requirements, designing system integrations (REST/SOAP APIs, message queues like RabbitMQ), writing SQL queries, creating UML/BPMN diagrams, and preparing BRD/SRS documentation.
QA инженер (Manual)
Manual QA Engineer at a Saint Petersburg fintech company building digital platforms for real estate transactions. Day-to-day work involves manual and integration testing, writing test cases, API testing with Postman and Swagger, and analyzing logs in an Agile team.
Системный Архитектор AI/ML
Senior System Architect designing ML/AI system architectures for an IT-infrastructure vendor. Owns architectural decisions (LLM vs classical ML, cloud vs on-premise), builds AI integration strategy, and leads ML engineers using Python, Airflow, Spark, Kafka, and MLOps tooling.
AI Software Engineer
Full-stack developer supporting Federal mission systems, building secure, scalable web applications across .NET (C#) and Java (Spring Boot) stacks with Angular/React front-ends, REST APIs/microservices, and cloud-native deployment on Azure or AWS.