This is your coolest opportunity to build brand new platform from scratch, implement new processes, AI capabilities and a strong mark at Pango. We're looking for a strong mindset of innovation, architecture, scalability, reliability and security to help our R&D and more to be faster, autonomous and mor effective.

Responsibilities:

• Design, build and maintain scalable cloud infrastructure, internal services, and developer tooling the enhance reliability, DevEx and engineering productivity using AI and various automation tools.
• Develop AI-driven platform capabilities, including internal agents, workflow automation, and intelligent integrations across engineering teams.
• Own and evolve AWS infrastructure using IAC.
• Build and operate secure, scalable, and cost-efficient cloud foundations to support Pango's platform and product services.
• Enable Engineering and product teams through self-service platform capabilities and automation.
• Integrate platform components and backend services written in Python and .NET Core.
• Work closely with the Director of Platform & Infrastructure, as well with Engineering, DevOps, and Data teams.
• Drive platform engineering best practices, reusable infrastructure patterns, and inner-source development models across teams.
  
  

Requirements:

• Proven hands-on backend engineering experience, preferably in platform, tooling, DevOps or automation domains.
• Experience with AI Code tooling, AI agents, LLM-based tools, or intelligent automation.
• Background in building internal platforms, developer tooling, or sherd infrastructure used across multiple teams- Strong Advantage.
• Strong hands-on coding experience alongside a solid understanding of infrastructure and cloud-native environments.
• Solid understanding of AWS cloud-native architecture microservices infrastructure (EKS, ECS), serverless architecture (Lambda, API Gateway) including CI\CD pipelines and observability practices.
• Proven experience with IAC and modern infrastructure management practices (Terraform, Ansible, CloudFormation...).
• Strong expertise in Python – preferred.
• Strong communication skills and ability to collaborate effectively across engineering teams.
  
  

Advantages:

• Experience with IDP/dev-experience tooling.
• Workflow automation tools (n8n, Make.com, etc.).
• LLM tooling (LangChain, Semantic Kernel, AutoGen).
• Open-source contributions.
• Integrating systems across business functions.