科技職缺
職缺列表
DevOps-инженер
DevOps engineer maintaining and improving CI/CD pipelines, Kubernetes infrastructure, and production systems across multiple environments (dev, stage, prod) at Russia's leading B2B information agency. Core stack: Linux, Docker, Kubernetes, GitLab CI/Jenkins, Ansible, Helm, nginx, HAProxy, and VictoriaMetrics/Grafana monitoring.
Principal Software Engineer - Apple Data Platform
As the founding principal engineer on Apple's new China Data Platform, you own end-to-end architecture for a greenfield data, analytics, and AI platform—solving large-scale distributed systems and Kubernetes challenges while meeting regional regulatory and data-residency requirements.
Mid/Senior Data Engineer (AWS)
Builds production-scale data platforms on AWS using SQL, Python, dbt, and Airflow, alongside warehouses and distributed data tools such as Redshift, Snowflake, BigQuery, Kafka, Spark, NiFi, Docker, and Kubernetes.
Data Scientist
Data Scientist role at a major Russian transport/logistics company focused on validating transport metrics, building BI dashboards (Power BI, Tableau, Superset), and developing forecasting models for delivery costs and timelines using Python and SQL.
Data Engineer (Stores/Customer Order)
Data Engineer at Tesco Technology in Kraków building and optimizing data pipelines for retail order, delivery, and fulfillment data. Day-to-day work centers on Apache Spark (Scala/Python), HDFS/CEPH, Hive/Kyuubi, and Airflow in a hybrid big-data stack.
Data Platform Engineer
Build and operate an ML feature platform powering batch, streaming, and nearline pipelines for a leading Russian online cinema (Ivi). Day-to-day work centers on Apache Spark, Python, Kafka, Airflow/Kubeflow, and integrating with Feature Store and ML systems.
Cloud Data Engineer
Remote Cloud Data Engineer designing and implementing data pipelines, cloud data architecture, and integration solutions across platforms. Core stack is Salesforce, Salesforce Data Cloud, and Python, with cross-functional collaboration on scalable, high-availability data systems.
Mlops Engineer
Remote MLOps Engineer designing and maintaining scalable ML pipelines for training, validation, and deployment, while monitoring model performance and collaborating with data scientists and engineers across cloud platforms (GCP, Azure Databricks).
Data Engineer
Data Engineer building and maintaining scalable data pipelines that support AI/ML model training, including ETL workflows, data preprocessing, and feature engineering. Collaborates with AI Researchers on dataset preparation and validation using Python, SQL, Airflow, TensorFlow, PyTorch, and related ML frameworks.
MLOps / AI DevOps Engineer
Design and maintain scalable backend services and REST APIs (FastAPI, microservices) powering AI-driven applications, including MCP servers, real-time streaming via LiveKit, and orchestration with Airflow/Celery, while owning CI/CD pipelines.
QA Automation Engineer
Designs and executes automated test suites for AI models, REST APIs, and CI/CD pipelines using Python (PyTest/Unittest/Robot Framework), ensuring model validation, data integrity, and reliable deployments of AI-driven applications.
Backend App Developer
Backend developer designing and maintaining FastAPI microservices, MCP integrations, and real-time APIs that power AI-driven applications, collaborating with AI, ML, and DevOps teams to ship production-ready services.
Mlops Engineer
Lead the architecture and development of complex, high-scale ML systems while driving technical decisions and mentoring teams. Core stack includes Python, AWS SageMaker, Kubernetes, MLflow, Kubeflow, Docker, TensorFlow, and CI/CD pipelines for end-to-end MLOps workflows.
Senior Azure Cloud and Full-Stack Engineer
Senior engineer owning the Azure cloud backend and React/TypeScript admin portal for Luxoft's connected-vehicle and infotainment data platform. Designs Python REST APIs, event-driven workflows, PostgreSQL schemas, and CI/CD pipelines with Terraform, Docker, and AKS, while collaborating closely with the Android team.
Senior Data Engineer - Austin, TX
Designs and operates large-scale data pipelines (Python, Spark, Kafka, Airflow, AWS/Azure/GCP) that ingest security telemetry into a shared ontology and knowledge graph powering an AI-native security platform at TrendAI in Austin, TX (hybrid, 3 days/week in office).
Lead Data Engineer - Snowflake and DBT
Lead Data Engineer at a US bank's India GCC, designing and maintaining enterprise data warehouse and lake solutions on Snowflake and AWS. Day-to-day work centers on building scalable ETL/ELT pipelines with DBT, Airflow, SQL, and Python, plus performance tuning, data modeling, and team leadership.
Software Engineer III (Golang,Python)
Software Engineer III (Golang,Python) This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office. Who We