About us
ALGOTEQUE is an IT consultancy firm that helps startups, mid-sized and large corporations to create and deliver innovative technologies.
Our team has a successful track record in designing, developing, implementing, and integrating software solutions (AI, ML, BI, Web, Automation) for Telecom, Energy, Bank, Insurance, Pharma, Automotive, Industry, e-commerce. We deliver our services both in fixed-price and time-and-materials models, helping our customers achieve their business and IT strategies.
Job Description
☸️ CloudOps Engineer - Kubernetes & Scientific Computing Expert
📍 Location: Prague, Czech Republic (or nearby European countries)
🌟 Level: Senior (3+ years experience)
About This Role
Ready to architect the future of scientific computing infrastructure? We're seeking a skilled CloudOps Engineer with strong Kubernetes expertise to join our innovative team in Prague! This role combines cutting-edge container orchestration with scientific data pipeline management, offering you the chance to work with the latest cloud technologies while supporting groundbreaking research.
What You'll Build
☸️ Kubernetes Mastery: Design and manage production-grade Kubernetes clusters for scientific workloads
☁️ Cloud Architecture: Implement scalable AWS solutions using EC2, RDS, S3, Batch, KMS, ECS, and more
🔄 DevOps Excellence: Build robust CI/CD pipelines with Jenkins and modern automation tools
🛠️ Infrastructure as Code: Deploy and maintain infrastructure using Terraform, CloudFormation, or Ansible
🏗️ Microservices Design: Architect containerized solutions focused on scientific data analysis
🔬 Pipeline Innovation: Work with advanced orchestration tools and workflow management systems
Required qualifications
Essential Requirements (3+ years experience)
Core Technical Skills
Programming Foundation: Strong hands-on experience with Python, Java, or C# (object-oriented programming)
Kubernetes Expertise: Production experience with container orchestration, deployment, and management
DevOps Pipeline: Proven track record building CI/CD workflows with Jenkins or equivalent tools
Infrastructure Automation: Solid experience with IaC frameworks (CloudFormation, Ansible, Terraform)
Cloud Integration: Deep knowledge of AWS services integration in production environments
Microservices Architecture: Ability to design and implement scalable, modular solutions for scientific computing
Huge Advantages (Game-changers!)
Nextflow Pipeline Experience: Hands-on work with pipeline execution, maintenance, and debugging
Advanced Orchestration: Previous experience with Cora/Seqera/CodeOcean/AWS Batch platforms
Scientific Computing Background: Understanding of research workflow requirements
Valuable Experience (2+ years)
Development & Integration
Scripting Proficiency: Python and Bash automation expertise
Production Development: Java/Spring (preferred), Python, or C#/.NET workflow building
System Administration: Strong Linux command line skills
API Development: REST, GraphQL, and 3rd party platform integration experience
Database Engineering: PostgreSQL (preferred), Oracle, SQL Server, MySQL for ETL pipelines
What Makes You Our Ideal Candidate
🤝 Collaborative Excellence: You thrive in cross-functional teams and build strong partnerships
🧠 Problem-Solving Pro: You tackle complex technical challenges with innovative solutions
💬 Communication Champion: You translate technical concepts clearly for diverse stakeholders
🔗 Partnership Builder: You excel at forming technical alliances with research and business teams
Why This Role is Special
🚀 Cutting-Edge Tech: Work with the latest in Kubernetes, cloud computing, and scientific platforms
🌍 Prague Location: Experience life in one of Europe's most beautiful and tech-forward cities
🔬 Scientific Impact: Your infrastructure directly enables breakthrough research and discoveries
📈 Career Growth: Expand your expertise in high-demand areas like container orchestration and scientific computing
🏆 Technical Excellence: Join a team that values innovation, best practices, and continuous learning
⚡ Scale & Performance: Build systems that handle massive scientific datasets and complex computations
The Perfect Match
This role is ideal for a CloudOps engineer who loves the challenge of combining container orchestration with scientific computing requirements. You'll work at the intersection of modern DevOps practices and research technology, creating infrastructure that powers the next generation of scientific discoveries.
Bonus points if you have:
Experience with scientific workflow management tools
Background in research or academic computing environments
Passion for optimizing complex, data-intensive workloads
Interest in bioinformatics or computational science
Ready to Engineer the Future?
If you're excited about leveraging Kubernetes and cloud technologies to support cutting-edge scientific research, this is your opportunity to make a significant impact while advancing your career in one of Europe's most dynamic tech hubs.
Apply today and help us build the infrastructure that powers tomorrow's discoveries!
