DevOps Engineer

About YellowIpe

Our mission is to inspire the connection between technology and people. We nurture the best in our professionals through our expertise in finding and attracting top talent for the best projects. People Focus, Collaboration, and Commitment are the pillars that guide us on this journey.

Join the yellow team as our new DevOps Engineer!

Responsibilities:

• Build and operate cloud-native infrastructure for AI solutions, data pipelines, APIs, agents, and platform services, with Azure as the primary cloud platform and AWS used when required.

• Design and implement reusable infrastructure, deployment, observability, and environment patterns to accelerate the transition from prototype to production.

• Automate infrastructure provisioning, configuration, CI/CD, monitoring, logging, secrets management, and cloud cost controls.

• Support cloud architecture decisions for agentic workflows, model integrations, event-driven services, data platforms, and external APIs.

• Work closely with Security and Data Protection teams to ensure cloud environments comply with standards for identity, access management, encryption, logging, isolation, and operational resilience.

• Collaborate with engineering, data, platform, and local IT teams to onboard environments, integrate systems, troubleshoot deployments, and scale successful solutions.

• Continuously improve platform reliability, developer experience, cloud cost transparency, and operational maturity.

• Support teams throughout the complete lifecycle, from experimentation and initial deployment to production rollout and scaling.

Requirements:

• Strong experience with cloud-native development and deployment, ideally with solid hands-on experience in Microsoft Azure and practical exposure to AWS.

• Strong hands-on experience with Infrastructure as Code (IaC), CI/CD, containerized workloads, monitoring, logging, and operational support.

• Solid engineering skills in Python and SQL; TypeScript knowledge is considered an advantage.

• Experience supporting APIs, data workflows, and platform integrations.

• Understanding of enterprise data engineering concepts, including ETL, data pipelines, data storage, and integration patterns.

• Experience working with cross-functional and international teams and collaborating with local IT organizations.

• Good understanding of cloud security principles, including identity and access management, encryption, secrets management, and operational resilience.

• Comfortable using GenAI-assisted software engineering tools such as GitHub Copilot, Cursor, or OpenCode.

• Pragmatic, outcome-driven mindset and ability to work effectively in evolving technical environments.

• Fluent English.

Nice to have:

• Experience with Snowflake, Azure AI Foundry, Microsoft Agent Framework, LangChain, MCP, or comparable AI platform technologies.

• Exposure to frontend development, developer portals, workflow builders, or internal platform user interfaces.

• Experience working in heterogeneous, multi-country enterprise environments.

• Cloud certifications or hands-on experience with DevSecOps, Platform Engineering, or Site Reliability Engineering (SRE) practices.

Important information:

• International and collaborative work environment.

• Worktime flexibility.

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