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Team Lead Data Scientist
Leads a team of data scientists to design, build, deploy, and monitor ML models end-to-end, bridging business needs with technical execution in a fintech environment.
Machine Learning Platform Engineer
Build and own production-grade infrastructure for real-time ML systems, feature serving, and decisioning at a fast-growing European fintech.
Java Data Engineer
Java Data Engineer (Streaming) at Exness constructs and maintains scalable data platforms using Java, Kafka, Flink, and related technologies, focusing on data integration, ETL pipelines, and infrastructure for trading solutions.
DevOps-инженер
DevOps engineer ensures zero-downtime deployments, automates infrastructure tasks (CI/CD, backups, monitoring), and optimizes database performance for a media/affiliate SaaS company using Docker, GitHub Actions, PostgreSQL, and Nginx.
Principal Software Engineer, Full Stack (Observability)
Principal engineer building Salesforce’s unified observability platform: metrics, logs, and traces with AI-first tooling, Java backends, React/LWC frontends, and OpenTelemetry/Kafka stacks.
QA инженер (Linux)
QA engineer tests web apps and backend services, focusing on Linux/Unix console workflows, API testing, and test-case design for a modern PHP/Go/Python stack.
Тестировщик-автоматизатор
Automates testing for a new product targeting international markets, focusing on API and UI test automation with JavaScript/TypeScript, Node.js, React, and Playwright/Selenium, while integrating tests into CI/CD pipelines and collaborating with devs and analysts.
(General hire) Backend Software Engineer Graduate (Trust & Safety) - 2027 Start
Build and optimize backend systems for TikTok’s Trust & Safety team to detect harmful content and abusive behavior using distributed systems, big data tools, and machine learning.
Lead DevOps Engineer
Leads a DevOps team to build and maintain a high-load, fault-tolerant fintech infrastructure for real-time payments and financial services in Uzbekistan.
Senior Technical Account Manager
About the Role You will be the primary technical partner for the most strategic accounts at a fast-growing, open-source AI engineering platform — think of it as the observability layer for the LLM era. Your mission is…
Senior Frontend Engineer
Build and optimize a high-performance React-based UI for visualizing massive LLM traces and observability data, ensuring fast rendering and smooth UX for AI engineering workflows.
Staff Software Engineer, Storage
Design and build exabyte-scale, S3-compatible object storage and distributed file systems for CoreWeave’s AI cloud platform, optimizing performance with RDMA, InfiniBand, and distributed filesystems.
Senior Data Engineer
Designs and builds ETL/ELT pipelines, data lakes, and real-time ingestion systems (Kafka, Flink) to extract, transform, and load financial data for warehousing and reporting, with expertise in SQL, Informatica, and Linux scripting.
Senior Infrastructure Engineer (AI Lab)
Senior Infrastructure Engineer designs, scales, and secures Workato’s cloud-native automation platform, using AWS, Kubernetes, and Linux to support real-time enterprise workflows.
Senior Infrastructure Engineer (Core Infra, US)
Senior Infrastructure Engineer designs, scales, and secures Workato’s global cloud platform, using AWS, Kubernetes, and Terraform to support enterprise automation and AI services.
Staff Software Engineer
Designs and maintains Workato's recipe execution engine using Ruby and Go, focusing on scalability, performance, and integration with databases and cloud services.
Staff Software Engineer (Ruby or GOlang)
Designs and builds scalable backend systems in Ruby or Go for Workato’s enterprise automation platform, integrating databases, cloud services, and distributed architectures.
Senior Software Engineer (Ruby / GOlang)
Senior backend engineer building and maintaining Workato's recipe execution engine using Ruby and Go, with a focus on scalability, performance, and integration with databases and cloud services.
Data Platform Engineer
Build and maintain the data backbone for autonomous factories, integrating machine signals, quality events, and operational data into reliable datasets for ML, analytics, and scheduling using Python, SQL, Kafka, Snowflake, and Dagster.