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Lead a team to design, automate, and secure Google Cloud and Kubernetes infrastructure for a cybersecurity company, ensuring reliable, compliant, and zero-downtime operations.
Designs and authors strategy tasks and executive deliverables (decks, memos, financial models) to train AI models; requires 5+ years in consulting, banking, or FP&A and strong Excel/MECE skills.
Build internal developer tools and AI-assisted workflows that let engineering teams ship faster, safer, and more autonomously using cloud, IaC, and CI/CD on AWS.
You’ll perform advanced penetration tests on networks, web/mobile apps, APIs, and cloud services, write detailed security reports, and automate vulnerability scanning using Python and Bash.
Currently, we are looking for a Support Specialist to join our team in providing end-user support to EPAM's clients. We support more than 20 clients across Europe and the globe, representing Fintech, e-commerce,…
We are looking for a Senior Support Engineer to join our multi-client support delivery team. Supporting more than 20 clients across Europe and beyond — spanning Fintech, e-Commerce, Retail, Travel, and Technology…
Backend .NET developer maintaining and extending insurance software for the German market, working with C#/.NET Framework 4.8, SQL Server, and APIs in a QA-heavy enterprise environment.
QA Engineer at Bonapolia in Warsaw designs and runs edge-case tests for data-heavy SaaS apps and microservices, automates test suites, and validates AI-powered features using CI/CD.
Navartis poszukuje Senior Electrical Design Engineer do projektów data centre i obiektów o znaczeniu krytycznym w Londynie. Rola obejmuje projektowanie instalacji elektrycznych, nadzór techniczny i mentoring młodszych…
Senior Data Engineer builds and maintains AI-powered data pipelines into Snowflake, models reliable datasets, and delivers trusted insights via Power BI for analytics and reporting.
Senior Data Engineer builds and maintains scalable data pipelines using Microsoft Fabric, Synapse Analytics, Python, and SQL for reliable data integration and transformation.
Design and build modern data platforms using Microsoft Fabric and Azure services like Data Lake and Databricks to integrate enterprise data sources and enable analytics.
Designs and maintains advanced data pipelines, optimizes Snowflake and Snowpark for Python, and builds robust data orchestration using Python.
Build and maintain data pipelines and platforms using Databricks and Azure for a debt-collection project, ensuring high-quality analytics and AI solutions.
Lead the architecture and delivery of an AI-powered SaaS data platform in Snowflake, building scalable ELT pipelines, Power BI analytics, and data quality frameworks while mentoring engineers and collaborating with cross-functional teams.
Design and implement scalable data pipelines and data lakes to enable business insights and analytics for a B2B-focused product company.
Design and own the analytics and data platform for an AI-powered SaaS product using Snowflake and Power BI, ensuring scalable data ingestion, modeling, and trusted insights.
Build and maintain the data platform for an AI-powered SaaS finance automation product, designing Snowflake pipelines, Power BI reports, and ensuring high-quality, trusted analytics for internal and customer use.
Administers SAS environments, configures SAS components for model onboarding, and supports deployment workflows using SAS 9/Viya, SAS CLI, Azure, and CI/CD.
Senior engineer deploys, integrates, and maintains enterprise applications on Azure, automating CI/CD pipelines for ASP.NET apps and IIS environments while coordinating with vendors and project teams.
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