DevOps Engineer

BE/DEVOPS ENGINEER:

As a Backend & DevOps Engineer, you'll:

Build impactful AI platforms: Develop and scale solutions that optimize manufacturing, logistics, banking, and telco operationsdelivering both financial savings and sustainability.

Work on diverse, high-stakes projects: From CO?-saving optimization engines to GenAI-powered platforms for major enterprises.

Collaborate in cross-functional teams: Partner with data scientists, AI engineers, and business experts to deliver robust, production-ready systems.

Own the roadmap: Shape new features, ensure infrastructure stability, and support both internal and client stakeholders.

Broaden your technology expertise: Setting up infrastructure on major cloud providers, leveraging new managed services for AI/AIOps/MLOps area, solving challenging setups (e.g. LLMs on-premise).

Research: Looking for the most effective solutions to business problems, including researching existing products and platforms, integrating into a wide range of our customers internal and external systems.

We required:

University degree in Computer Science or related technical field

2+ years professional expertise with software engineering and Devops

Proficiency in backend development in Python and/or Kotlin

Proficiency with DevOps in cloud infrastructure (Azure, AWS), CI/CD pipelines

Experience with database management (SQL and/or noSQL)

Experience with Infrastructure as a Code solutions such as Terraform

A strong understanding of security best practices and performance optimization for scalable products

Self-motivated with an ownership mindset to take initiative and deliver results in a fast-paced environment

Nice to have:

Experience with AI tools, frameworks, and APIs (e.g., OpenAI, Hugging Face, LangChain).

Experience with No-code/Low-code AI tools.

Familiarity with integrating LLMs into practical use cases in real-world applications.

Certifications in cloud platforms like Azure of AWS