About this role

Cloudera is hiring a mid-level Solutions Architect in the software engineering function based in Czech Republic-Prague (hybrid). The posting calls out experience with Python, Go, AWS, GCP.

Role: Solutions Architect
Function: software engineering
Level: mid
Track: Individual contributor
Employment: Full-time
Location: Czech Republic-Prague
Work mode: Hybrid
Visa: Not sponsored
Posted: Jul 13, 2026

AI Summary

Mid-Senior Solutions Architect designing scalable data and AI solutions for enterprise clients using Cloudera technology. Combines consulting expertise with deep technical design across multiple industries. Client-facing role requiring Kubernetes, cloud-native, and distributed systems expertise.

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Job description

from Cloudera careers

Business Area:

Professional Services

Seniority Level:

Mid-Senior level

Job Description:

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises.

This role requires the candidate to have the opportunity to develop massively scalable solutions to solve complex data and AI problems using Cloudera technology. This role is a client facing opportunity that combines consulting skills with deep technical design and development in the Data and AI space. This role will present the successful candidate the opportunity to work across multiple industries and large customer organizations.

This role is not eligible for Immigration Sponsorship or relocation.

As a Solutions Architect, you will:

Design innovative, scalable solutions tailored to customer business needs using Cloudera Data Services, leveraging proven reference architectures and industry best practices.
Serve as a trusted technical advisor, helping customers maximize the value of Cloudera's Anywhere Cloud and Data Services portfolio.
Partner closely with Product Management, Engineering, and cross-functional teams to ensure customers experience a unified Cloudera vision and seamless engagement.
Champion customer success by translating field feedback into actionable product enhancements and influencing the product roadmap.
Lead customers through the design, deployment, and optimization of Anywhere Cloud and Data Services, ensuring reliable, secure, and high-performing implementations.
Introduce best practices, automation, and troubleshooting methodologies to streamline deployments, upgrades, and ongoing operations.
Analyze complex distributed production environments, identify performance bottlenecks, and recommend architectural improvements to enhance scalability, reliability, and efficiency.
Support customers throughout their technical journey by identifying new use cases, solving complex challenges, and driving successful adoption of Cloudera technologies.
Collaborate with domain experts, data scientists, AI practitioners, and engineering teams to design and implement innovative AI and data-driven solutions.
Represent Cloudera as a technical thought leader by participating in conferences, webinars, meetups, blogs, and other community engagement initiatives, sharing expertise and promoting industry best practices.

We are excited if you have (Required Experience):

8+ years of backend development experience with strong expertise in Python and Go programming languages.
Bachelor’s degree in Computer Science, Engineering, Information Systems, Business, or a related field or equivalent practical experiences
Familiarity with NVIDIA GPU technologies
Hands-on knowledge of the data ecosystem, including AI/ML, data warehousing, data engineering, and data-in-motion technologies
Experience with Amazon AWS, Microsoft Azure, and/or Google Cloud, including relevant skills and certifications
Experience with designing Kubernetes APIs, CRDs & Controllers with emphasis on backward compatibility.
Experience building the utilities, providing solutions, and reference architectures.
Strong troubleshooting skills and experience resolving complex issues in Kubernetes, networking, and storage.
Experience working in the Cloud Native Computing Foundation (CNCF) community
Ability to go deep into technology and complex distributed systems.
Self-driven and motivated, with a strong sense of ownership and craftsmanship
Strong written and verbal communication skills