madiff.eu

Job Description

We are looking for a DevOps Engineer to join a high-throughput enterprise platform operating at large scale. The role focuses on strengthening reliability, scalability, and security across a cloud-native infrastructure environment supporting mission-critical systems. The consultant will join an international platform engineering team working alongside backend engineers, SRE specialists, and cloud architects in a product-oriented delivery model. The team operates in Agile with two-week sprints and shared ownership of infrastructure, automation, and deployment pipelines.

Responsibilities

• Design, build, and operate production-grade Kubernetes clusters
• Develop and optimise CI/CD pipelines using GitOps and tools such as Jenkins, Bitbucket, or GitHub
• Manage container platforms using OpenShift, Docker Registry, Helm, and Kustomize
• Deploy and maintain AWS infrastructure focusing on security, resilience, and cost efficiency
• Administer and harden Red Hat Enterprise Linux environments
• Automate infrastructure and operational workflows using Bash and Python
• Implement Infrastructure as Code using Terraform
• Collaborate with engineering teams to streamline deployments and reduce delivery cycle time

• Implement and maintain observability using Prometheus, Grafana, and OpenTelemetry

   

Requirements

• Strong hands-on expertise with Kubernetes, Docker, Helm, and Terraform
• Extensive experience delivering solutions on AWS
• Experience with GitOps practices and CI/CD tooling such as Jenkins, Bitbucket, or GitHub
• Solid Red Hat Enterprise Linux administration skills
• Strong scripting skills in Bash and Python
• Strong understanding of cloud provisioning and Infrastructure as Code patterns
• Experience working in Agile engineering environments
• Availability to start quickly with short notice preferred

• Willingness to attend the Warsaw office occasionally

   

Nice to have

• Experience working on high-throughput or highly scalable platforms
• Background in gaming, fintech, or other high-availability systems
• Experience with observability platforms and distributed system monitoring

• Exposure to product-oriented platform engineering teams

   

Benefits

• Solid, competitive salary
• Work in a multinational environment on international projects
• Comprehensive healthcare
• Long-term B2B contract with a stable project pipeline
• Remote work model (Warsaw), with on-site presence 2–4 times per month

We’re looking for an experienced AI Engineer (Python Backend) to join our team building backend systems for GenAI-powered applications used by leading US clients in banking, fintech, and payments. The projects involve designing intelligent automation tools, data-driven decision engines, and secure AI integrations for enterprise-grade environments.
 

Responsibilities:

• Design and develop backend microservices in Python (Django, Flask, or FastAPI) powering GenAI applications and internal automation platforms.
   
• Integrate with LLM APIs (OpenAI, Anthropic) and implement RAG pipelines using vector databases such as Pinecone or Chroma to enhance contextual intelligence.
   
• Develop AI workflow orchestration — prompt routing, retrieval logic, tool execution, memory handling, and multi-agent collaboration — using LangChain and LangGraph.
   
• Build APIs and backend modules that connect to financial systems, credit decision engines, and customer experience platforms.
   
• Manage structured and unstructured data pipelines, integrating with PostgreSQL, MongoDB, and data lakes.
   
• Deploy and maintain services using Docker and cloud environments (Azure or AWS), ensuring scalability, performance, and security compliance.
   
• Collaborate with cross-functional teams in the US and Europe, including frontend, DevOps, and data science units, to deliver production-grade AI capabilities.
   

Requirements

• 3–4+ years of backend experience with Python (Django, Flask, or FastAPI).
   
• 1–2+ years working with GenAI, LLM APIs, or vector database architectures.
   
• Practical knowledge of LangChain, LangGraph, embeddings, and retrieval frameworks.
   
• Strong experience with Docker, Git, CI/CD, and cloud services (Azure or AWS OR GCP).
   
• Understanding of prompt optimisation, token management, and AI system integration.
   
• Experience in enterprise or banking environments is a strong advantage.
   
• B2+ English and ability to collaborate with global engineering teams.
   

Benefits

• Competitive daily rate.
   
• Opportunity to work on international GenAI projects for top-tier US clients.
   
• Dynamic, multilingual work environment and access to advanced AI infrastructure.
   
• Private medical care and long-term project engagement.