DataOps Automation Engineer

MWDN is a global IT outstaffing company with 23+ years of experience that connects exceptional tech talent with leading companies across Israel, the USA, Great Britain, and Western Europe. We offer opportunities to work on international products in a stable and professional environment.

Here’s what you can expect when you join MWDN:

• Security: We carefully vet our clients to minimize risks and ensure reliability and timely payments—no fraud or unpleasant surprises.
• Career support: If a project isn’t the right fit, we support you and actively help find new opportunities that match your skills and career goals.
• Legal assistance: We provide guidance on legal matters, including opening and managing your independent contractor or sole proprietorship status, taxes, and related processes.
• Professional development: We offer English courses and professional growth opportunities, as well as team-building events.

Why choose us? MWDN is ranked among the top 5 IT employers in our region according to DOU. We take pride in our transparency and strong commitment to our team. Curious to learn more? See what our employees say about working with us on DOU.

• Domain: AI Consulting
• Client Location: US
• Company size: up to 10 people
• Founded in: 2020

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.

Built for modern enterprise needs, its approach focuses on transforming complex operational and strategic challenges into scalable, data-driven advantages. From developing custom AI models and intelligent automation systems to enabling smarter decision-making through advanced analytics, the firm empowers clients to unlock the full potential of their data.

• 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

Will be a plus:

• FinOps experience - cloud cost governance and cross-provider optimization
• Experience integrating data quality frameworks (Great Expectations, Soda) directly into CI/CD pipelines
• Familiarity with data security and compliance requirements in regulated industries
• Experience building internal developer portals or self-service data platform tooling
• Multi-cloud operational experience - managing environments across two or more providers simultaneously

• 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

• People-first management with minimal bureaucracy
• A friendly company culture, proven by employees who choose to return
• Flexible working hours
• Full financial and legal support for independent contractors
• Free English classes, with native speakers or Ukrainian teachers
• Dedicated HR support

✅ Intro call with a Recruiter — ✅ Intro call with the client — ✅ Technical client interview — ✅ Offer