Techery

United States
Total Offices: 5
200 Total Employees
Year Founded: 2007

Jobs at Techery

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Recently posted jobs

2 Days AgoSaved
Hybrid
Dnipro, Dnipropetrovsk Oblast, UKR
Artificial Intelligence • Information Technology • Software • Consulting
Build and own ETL processes, data models, and pipelines supporting analytics and financial reporting. Use Snowflake, dbt, Fivetran, AWS, SQL, and Python to transform and manage data. Develop reports and dashboards in Sigma and Looker, model financial data, and ensure reporting accuracy and reliability. Collaborate with accounting stakeholders to automate manual processes and independently drive data engineering initiatives.
2 Days AgoSaved
Hybrid
Dnipro, Dnipropetrovsk Oblast, UKR
Artificial Intelligence • Information Technology • Software • Consulting
Develop and maintain backend-first full-stack solutions for back-office systems, SSO, data synchronization, and e-commerce services. Build Node.js and Java services, contribute to Next.js frontend components, manage secure sessions and authorization, debug applications, implement monitoring, and maintain code quality through testing and reviews. Collaborate with cross-functional teams, proactively identify issues, and take ownership of technical work while staying current with AI developments.
3 Days AgoSaved
Hybrid
Dnipro, Dnipropetrovsk Oblast, UKR
Artificial Intelligence • Information Technology • Software • Consulting
Own the full-cycle IT recruitment function, including role definition, sourcing, market analysis, stakeholder management, competency-based interviewing, process improvement, recruitment metrics, tool administration, reporting, budgeting, and operational decision-making. The role requires strategic, data-driven recruiting expertise, strong understanding of engineering roles and technology markets, and independent ownership of scalable hiring processes.
One Month AgoSaved
Hybrid
Dnipro, Dnipropetrovsk Oblast, UKR
Artificial Intelligence • Information Technology • Software • Consulting
Design and implement production-grade LLM systems: agent workflows, semantic routing, classifiers, retrieval and context handling, fine-tuning, evaluation pipelines, synthetic-data generation, and backend engineering to optimize quality, latency, and cost.