科技職缺
職缺列表
Solution Engineer
Designs and operates production-grade data pipelines and data products on AWS and Snowflake for a global investment management firm, owning architecture through deployment while using AI-assisted engineering as a daily practice.
System administrator
System administrator at product company Ozzylogik, configuring and maintaining wired/wireless networks (TCP/IP, BGP, OSPF, VLANs, MikroTik/Cisco/Fortinet, WireGuard/OpenVPN), Linux servers (Debian/Ubuntu/Rocky), monitoring (Zabbix/Prometheus/Grafana) and virtualization (Proxmox) for internal big-data products.
DevOps Engineer
Remote DevOps role at a product company building a complex modular iGaming B2B platform (400+ services, ~1M daily transactions, 99.9% SLA). Focus spans architecture, automation, security, and building custom infrastructure modules on AWS, GCP, and Kubernetes within a newly formed DevOps team.
Senior .NET Software Engineer
Senior .NET engineer at consulting firm Avaron building modern e-commerce solutions for the mining and construction industry on Azure. Day-to-day work involves full-stack .NET development, managing Azure App Services, and shaping agentic AI features across the customer journey in an agile team.
Middle DevOps инженер
Middle DevOps engineer at KMF Bank in Almaty. Day-to-day work involves implementing DevOps methodology, building CI/CD pipelines, administering Linux servers, and automating infrastructure using Kubernetes, Docker, GitLab CI, and a broad monitoring/observability stack.
Software Engineer
Develops and maintains Moody’s cloud-based enterprise products, designing and implementing features, improving scalability and stability, troubleshooting client issues, and collaborating with QA and DevOps. Core work uses C#, Python, .NET, Azure and AWS, SQL databases, REST/web technologies, and Windows/Linux.
Software Engineer - Full Stack and Data (React / Python)
At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the…
Data Engineer - Senior 2
Senior data engineer at Cummins leading the design, development, and maintenance of a cloud-based data and analytics platform. Builds scalable data pipelines, data products, and AI/ML-ready datasets using Spark, Hadoop, SQL, Kafka, and modern ETL/ELT tools across Supply Chain, Finance, and Product domains.
Cyber Senior Manager - Strategy, Growth, and Transformation
Cyber Senior Manager / Senior Manager, Strategy, Growth, and Transformation Are you interested in improving the cyber and organizational risk profiles of leading companies? Do you want to be involved in delivering…
Data Engineer - Senior 1
Senior Data Engineer at Cummins leading design and development of enterprise data pipelines and analytics platforms using Spark, Hadoop, Kafka, cloud data warehouses, and ETL/ELT tools, supporting analytics, AI/ML, and GenAI use cases across Supply Chain, Finance, and other domains.
Data Engineer 9
Data Engineer building and maintaining enterprise data pipelines, ETL/ELT transformations, and curated datasets across Supply Chain, Quality, Finance, and Product Lifecycle domains to power analytics, automation, and GenAI use cases using cloud big-data platforms.
Data Engineer 5
Data Engineer at Cummins building and maintaining enterprise-scale data pipelines, ETL/ELT transformations, and governed data products on cloud and Big Data platforms to support analytics, AI/ML, and GenAI use cases across Supply Chain, Quality, Finance, and Product Lifecycle domains.
Data Engineer 12
Data Engineer at Cummins building enterprise data products, pipelines, and curated datasets that support analytics, automation, and GenAI use cases across Supply Chain, Quality, Finance, and Product Lifecycle using Spark, Kafka, cloud platforms, SQL, and modern ETL/ELT tooling.
Data Engineer - Senior 6
Senior data engineer at Cummins designing and operating large-scale cloud data pipelines, data lakes, and ETL/ELT solutions using Spark, Scala/Java, Hive, HBase, Kafka, SQL, and NoSQL stores to deliver AI/ML- and analytics-ready data products across enterprise domains.
Data Engineer - Senior 4
Designs, builds, and optimizes reusable, governed enterprise data pipelines and cloud platforms for analytics, reporting, APIs, automation, and GenAI. The role spans SQL, Spark, Scala/Java, Kafka, Hadoop, ETL/ELT, data modeling, quality, lineage, and scalable data architecture.