Senior DevOps Engineer

Job Description

Devops Engineer

Key Responsibilities

• **Design and implement**
• scalable, repeatable deployment frameworks for AI, data, and cloud-native applications.
• **Develop and maintain**
• Infrastructure as Code (IaC), automated environment provisioning, and deployment workflows to ensure consistency across environments.
• **Build and optimize CI/CD**
• pipelines that enable reliable, automated delivery across development, testing, staging, and production.
• **Standardize application**
• packaging and deployment models to enable seamless delivery into customer environments with minimal customization.
• **Define and implement**
• best practices for secrets and configuration management, identity and access management (IAM), networking, secure connectivity, observability, logging, monitoring, alerting, and release management.
• **Improve production readiness**
• by strengthening application resilience, scalability, security, runtime governance, and operational excellence.
• **Observability Improvements**
• : Enhance monitoring for services to improve system reliability.
• **Scripting & Automation:**
• Develop, implement, and maintain scripts to automate processes and reduce manual efforts.

Work Conditions

• Type: Full-time 3-month contract with high possibility of extension

• Start Date: ASAP

• Location: Remote (99%) in Europe; must be able to travel freely within Europe for workshops.
• US Time Zone Overlap : Required ( 2 PM - 6 PM CET )
• Contract with European LLC

Job Requirements

• Proven experience as a DevOps Engineer or Platform Engineer, or Site Reliability Engineer.
• Experience with Azure cloud services, ideally Azure, with an understanding of infrastructure and networking concepts.
• Proven experience deploying enterprise web, data, or AI applications to production.
• Strong hands-on expertise with CI/CD, Infrastructure as Code (IaC), containers, observability, secrets management, and secure deployment practices.
• Experience in productionizing prototypes, analytics, or AI solutions into scalable, reliable applications.
• Strong understanding of scalability, reliability, security, and operational best practices.
• Solid working knowledge of tools such as: GitHub (including GitHub Actions and managing own action runners), Terraform, Kubernetes, CloudBees Jenkins, SonarQube, GitHub Copilot, Grafana, Datadog, Related technologies ( Git, Maven, npm ).
• Strong problem-solving skills and attention to detail.
• Excellent communication skills, ability to work in a team environment, and a commitment to continuous improvement.

Preferred Experience

• Familiarity with deploying analytics and AI applications, including APIs, services, data platforms, and AI-powered solutions.
• Experience preparing enterprise applications for secure, production-ready client deployments.
• Experience deploying applications across diverse customer environments and technology stacks.
• Exposure to data-intensive and AI-driven products with a focus on performance, scalability, and portability.