Junior Architect - T Cloud Public (REF5394N)

Job Description Summary
GE HealthCare is looking for a talented and motivated mid-level (medior) Quality Assurance Engineer / Automated Software Test Engineer to join our Advanced Visualization team. This team develops core services that enable our products to run cutting-edge medical applications. As a Quality Assurance Engineer, you will be responsible for testing components, features, and feature sets. Operates independently and contributes not only to the immediate team but also to cross-functional teams across the business. Actively participates in quality engineering discussions and provides guidance to other testers and engineers during verification campaigns.

Job Description
Roles and Responsibilities
In This Role, You Will

• Be part of the team as QA engineer, helping how the quality of the functionalities could be assured and what methodologies and technologies should be used
• Develop and executes maintainable automated tests for acceptance, functional, and regression test cases
• Own other quality engineering tasks, such as Manual Tests creation, execution and documentation
• Integrate project testing with continuous-integration process
• Work with fellow team members to diagnose bugs and formulate solutions
• Provide expertise in the quality engineering, test planning and testing methodology for a software project
• Be familiarized with the internal GEHC processes and tools used for Verification and Validation milestones, guiding the team on those activities
• Be part of discussions with other QA Engineers and the project V&V leader to define strategies

Qualifications / Requirements
Education Qualification
Bachelor's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) with minimum 2 years of experience.

Technical Expertise

• Proven hands-on experience with object-oriented design and programming languages like Java, GoLang, TypeScript or JavaScript (as more as better)
• Proven hands-on experience with writing manual test cases
• Experience with the following Service Automation tools: Serenity, JBehave
• Experience with Linux based operational systems
• Able to translate product requirements into feature files
• Excellent verbal and written communication skills in English.
• Have an analytical mindset, being capable to critically evaluate how features operate and how tests should be created.
• Work independently when needed, looking forward for solutions when a problem arrives.
• Have a detail-oriented personality, keeping documentations in high quality state for any possible audit.

Differentiators (Not Mandatory)

• Testing of systems for security standards compliance
• Experience working with distributed systems and container based applications using Docker
• Experience with tools used in Continuous Integration processes: GitLab or Jenkins
• Understanding of JMeter or other performance testing tools
• Experience with software design through BDD and TDD
• Experience with Application Lifecycle Management (ALM) tool is a plus
• Experience with SQL query is a plus
• Experience with the following tools is a plus: Protractor, Jasmine, Karma and Cucumber.
• Experience with Kubernetes is a plus
• Experience with Medical Imaging is a plus
• Experience with Spring or Angular is a plus

Personal Attributes

• Demonstrates the initiative to explore alternate technology and approaches to solving problems
• Skilled in breaking down problems, documenting problem statements and estimating efforts
• Able to take ownership to deliver small and medium sized tasks
• Ensures understanding of issues and presents clear rationale. Able to identify mutual needs and win-win solutions. Uses two-way communication to influence outcomes and ongoing results
• Identifies misalignments with goals, objectives, and work direction against the organizational strategy. Makes suggestions to course correct
• Continuously measures deliverables of self and team against scheduled commitments. Effectively balances different, competing objectives
• Good oral and written communication skills
• Persists to completion, especially in the face of overwhelming odds and setbacks. Pushes self for results; pushes others for results through team spirit

Additional Information
Relocation Assistance Provided:
No

Business Area:
Engineering

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.

The Mission: Engineering Resilience for Cloudera Data Flow (CDF) to Run Anywhere

Data is dynamic, and your processing services must be just as agile. As a Senior Software Engineer in Test on the Cloudera DataFlow team, you will be on a critical mission to ensure the quality, reliability, and deployment of our next-generation data service, Cloudera DataFlow (CDF). You will participate in and drive the testing strategy for the entire CDF platform.

This critical service must be rigorously tested to be capable of running anywhere, from fully air-gapped, on-premise servers to the most complex public cloud environments.

We are advancing a massive-scale platform. If you are obsessed with designing and executing highly reliable, distributed data flow systems testing that ensures efficient, scalable workloads across any environment, this is your perfect opportunity.

This role is not eligible for immigration sponsorship or relocation.
The Impact You’ll Make

• Testing & Quality Assurance: You will be responsible for enhancing and maintaining our existing CI/CD pipelines and Java-based automated test suites, working with modern, Kubernetes-based test infrastructure. Your goal is to transform these assets into an advanced validation engine, crucial for the swift and dependable release of Cloudera Data Flow, thereby owning the Testing & Quality Assurance domain.
• Technical Expertise & Troubleshooting: Become a subject matter expert in data flow management. When distributed systems fail at scale, you lead the charge. You will perform deep-dive troubleshooting and Root Cause Analysis on complex, system-level failures that only emerge in high-throughput environments.
• Bake-In Excellence: You will work synchronously with the broader engineering team to bake quality into the code from day one, ensuring that testability is a first-class citizen in our software design.

Your Technical DNA

• Bsc/Msc in related field or equivalent experience
• Java Proficiency: You write clean, performant code and understand the nuances of the Java ecosystem in a distributed context.
• Kubernetes & Docker Mastery: You treat containerization and orchestration as the foundation of modern deployments. You know how to simulate complex cluster failures to test system limits.
• Validation Architect: You have a proven track record of designing complex test plans and automated methodologies that integrate seamlessly into robust CI/CD pipelines.
• Testing & Development: Familiarity with diverse test frameworks (e.g., JUnit, TestNG, Mockito) for various testing levels, and practical experience developing and debugging software in Linux environments.
• Communication: Excellent professional proficiency in written and spoken English, essential for clear documentation and seamless collaboration within distributed teams.

What Makes You Stand Out

• Data flow management experience: You’ve worked with Apache NiFi or similar engines and understand complex data flow pipelines.
• Cloud & Infrastructure: You’ve deployed to AWS, Azure, or GCP and have used Ansible or Terraform to treat "Infrastructure as Code" as a creative discipline.
• The "Quality First" Mindset: You have a passion for building tools that break things so that our customers never do.
• Hands-on experience with Python is considered an advantage.

What you can expect from us:

• Generous PTO Policy
• Support work life balance with Unplugged Days
• Flexible WFH Policy
• Mental & Physical Wellness programs
• Phone and Internet Reimbursement program
• Access to Continued Career Development
• Comprehensive Benefits and Competitive Packages
• Paid Volunteer Time
• Employee Resource Groups

EEO/VEVRAA

Founded in 1999 in Vienna, the Qualysoft Group is a manufacturer-independent IT consulting and services company, which successfully provides support for its international customers with the aim of boosting their competitiveness and economic efficiency through innovative IT solutions.

Its focus is on financial services providers, telecommunications companies, the automotive industry and energy service providers. Over 400 employees in 6 subsidiaries work together to ensure state of the art solutions for our clients.

We are looking for new colleagues in Qualysoft teams for diverse projects providing continuous learning opportunities. Our common goal is to provide honesty, development and a stable background while getting to know the latest technologies. We are waiting for your application for the position below!

AI Talent Pool
We are continuously building our network of AI professionals for future opportunities.

We are looking to connect with professionals across different areas of
Artificial Intelligence and Machine Learning
, including both
consulting and expert roles as well as technical positions
.

We Welcome Profiles With Experience In Areas Such As

• AI Consultant / AI Expert
• AI Engineer/ Generative AI Engineer
• Machine Learning Engineer
• MLOps / LLMOps Engineer
• AI Solutions Architect
• AI Developer
• AI Product Manager
• AI Governance / AI Compliance Specialist
• AI Research Engineer
• Agentic AI Engineer

Please note
that joining the AI Talent Pool does not mean applying for a specific open position. Your profile will be added to our database, and whenever a relevant AI opportunity becomes available, we will review our Talent Pool and
contact suitable candidates first
to discuss the opportunity and potential fit.

We look forward to connecting with you and learning more about your skills and experience. Join the
Qualysoft AI Talent Pool
and be among the first to hear about relevant opportunities and projects that match your expertise.

Why We Think You Will Love Working Here
With us you count as a person, our doors are always open.

We live the Qualysoft Team Spirit and stand for transparency!

Fresh wind and new ideas are welcome, because standstill is a foreign word at Qualysoft.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Join Us in Making Cities Greener and More Sustainable

Are you passionate about using technology to combat climate change and enhance urban living? At
greehill
, we’re looking for a
Lead ML Engineer
to help us shape the future of sustainable cities. Join our mission to make urban environments around the world greener, healthier, and more resilient.

Who We Are

greehill is a global leader in nature-based smart-city solutions, driven by a passion for sustainability and innovation. We harness advanced technologies like remote sensing and machine learning to transform urban green spaces. Our cloud-based platform empowers cities to improve citizen well-being while reducing operational costs, using data from LiDAR scanners and camera systems to create digital twins of urban trees. With offices in Budapest, Hannover, Singapore, San Francisco, and Paris, we’re driving sustainability on an international scale.

Your Role

As a
Lead ML Engineer
, you’ll act as a technical leader, combining deep technical execution with mentorship, architectural ownership, and strategic input. You’ll be responsible for scaling our ML systems, shaping the technical roadmap, and guiding a high-performing ML team in building production-grade solutions for real-world urban challenges.

Key responsibilities:

• Architect and lead the development of large-scale ML systems and model pipelines
• Introduce new ML systems, such as traffic sign detection, building facade detection, and other computer vision-based solutions
• Define and drive the ML technical roadmap in alignment with company objectives
• Act as a technical mentor and leader for other ML engineers
• Facilitate cross-team collaboration with product, engineering, and domain experts
• Ensure engineering excellence through robust review processes, documentation, and technical standards
• Own and refine deployment processes for real-time and batch ML services
• Evaluate emerging tools, techniques, and architectures, and apply them strategically
• Support technical decision-making across ML architecture, data pipelines, model development, and deployment

We’re seeking candidates with:

• 5+ years of experience in
  ML/AI
  , with a strong focus on production-grade computer vision and deep learning models
• Expert-level
  Python
  and PyTorch skills
• Deep knowledge of scalable ML systems, data lifecycle management, and MLOps practices
• Proven technical leadership experience, including mentoring engineers, leading projects, or guiding ML teams
• Strong architectural thinking and the ability to make pragmatic technical decisions
• Strategic thinking and excellent communication skills
• A passion for sustainability and real-world applications of ML
• Experience with complex algorithms and large-scale data processing

We value if you have experience in:

• Managing, mentoring, or helping build small ML teams
• Remote sensing, GIS, LiDAR, or point cloud data
• Workflow orchestration tools such as Airflow
• DevOps practices and tools, including Docker and Kubernetes
• Cloud ML environments, especially Azure
• Technical hiring, interviewing, and team scaling

Why Join Us?

At greehill, we’re assembling a team of curious, purpose-driven, out-of-the-box thinkers eager to tackle a high-impact mission. You’ll help shape the future of cities worldwide, making them more sustainable and resilient, with the chance to see the tangible impact of your contributions in urban environments.

• Make a
  direct impact on climate adaptation
  and the future of cities through technology that actually gets used
• Work on
  meaningful, real-world problems
  at the intersection of
  AI, sustainability, and urban tech
• Join a
  fast-growing, international team
  with real freedom to shape both the product and your role
• Learn, experiment, and grow with
  talented, curious (green-)tech experts
  who genuinely care about what they build
• Develop yourself continuously with
  access to LinkedIn Learning
  and hands-on learning every day

How we work
– We believe the best ideas happen when people spend time together. That’s why we work
4 days a week from the office
, with
1 day from home
, creating space for collaboration while still keeping some freedom.

The position is
based in Budapest /Hungary/
so relocation might be needed from your side.

If you’re ready to contribute to a mission that counts and collaborate with driven professionals, join us at greehill.

We appreciate the interest of all job seekers in our organization. However, please note that at this time, we are unable to consider applications from outside of Hungary, who require a work permit for this position. We thank you for your understanding and encourage you to explore other opportunities with greehill in the future.