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MWDN connects exceptional tech talent with leading companies across Israel, the USA, Great Britain, and Western Europe. We aim to ensure our employees enjoy a rewarding and secure experience while collaborating with prestigious international clients. MWDN is ranked among the top 5 IT employers in our region by DOU, and we pride ourselves on our transparency and commitment to our team.
DataOps Automation Engineer
Location
Ukraine
Posted
56 days ago
Salary
0
Seniority
Mid Level
Job Description
DataOps Automation Engineer
MWDN
Role Description Join a forward-thinking AI strategy and consulting firm helping businesses navigate and capitalize on the AI revolution. The company partners with organizations across industries to design and implement end-to-end AI solutions, combining deep data expertise with cutting-edge machine learning and automation technologies. What makes you a great fit: - 4+ years in DataOps, DevOps, or Platform Engineering with a clear focus on data platform environments - Hands-on IaC experience - Terraform strongly preferred - CI/CD pipeline experience (GitHub Actions, GitLab CI, Azure DevOps, or equivalent) - Cloud experience across at least one major provider with working knowledge of a second (AWS, Azure, GCP) - Experience with containerization (Docker) and orchestration (Kubernetes or managed equivalents) - Familiarity with data pipeline monitoring and observability tools (Monte Carlo, Datafold, Great Expectations, or custom solutions) - Strong automation mindset - Python and/or Bash scripting for operational tooling - Agile delivery experience across Scrum and/or Kanban - Proficiency with AI development tools - with genuine appreciation for how AI tooling can reduce operational toil - Upper-intermediate level of English Your day-to-day in this position: - Design and manage CI/CD pipelines for all data platform components across multi-cloud environments - Implement and maintain infrastructure-as-code (IaC) for dev, staging, and production data platform environments - Build and maintain data observability and monitoring solutions - pipeline health, data freshness, SLA tracking, and alerting - Manage containerized workload deployments (Docker, Kubernetes, or managed cloud equivalents) - Implement secrets management, access control, and cloud cost monitoring practices - Identify and eliminate manual toil across the team - building self-service tooling, automation scripts, and reusable operational components - Implement automated data quality gates within CI/CD flows, integrating with the Analytics Engineer's transformation pipelines - Create and maintain runbooks, operational documentation, and incident response playbooks - Actively use AI coding assistants to generate automation scripts, IaC modules, and monitoring configurations - reducing time-to-production on operational tooling Qualifications - 4+ years in DataOps, DevOps, or Platform Engineering - Hands-on IaC experience - Terraform strongly preferred - CI/CD pipeline experience (GitHub Actions, GitLab CI, Azure DevOps, or equivalent) - Cloud experience across at least one major provider with working knowledge of a second (AWS, Azure, GCP) - Experience with containerization (Docker) and orchestration (Kubernetes or managed equivalents) - Familiarity with data pipeline monitoring and observability tools (Monte Carlo, Datafold, Great Expectations, or custom solutions) - Strong automation mindset - Python and/or Bash scripting for operational tooling - Agile delivery experience across Scrum and/or Kanban - Proficiency with AI development tools - Upper-intermediate level of English Requirements - FinOps experience - cloud cost governance and cross-provider optimization (will be a plus) - Experience integrating data quality frameworks (Great Expectations, Soda) directly into CI/CD pipelines (will be a plus) - Familiarity with data security and compliance requirements in regulated industries (will be a plus) - Experience building internal developer portals or self-service data platform tooling (will be a plus) - Multi-cloud operational experience - managing environments across two or more providers simultaneously (will be a plus) Benefits - People-first management with minimal bureaucracy - A friendly company culture, proven by employees who choose to return - Flexible working hours - 32 days of PTO (21 working days per year plus all national holidays) - 10 paid recovery days - Full financial and legal support for independent contractors - Free English classes, with native speakers or Ukrainian teachers - Dedicated HR support
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