About The Team 

Roku’s Aarhus office is focused on acoustics, audio processing and cloud technologies, centered around a purpose-built operating system for streaming TV.

About The Role 

We are looking for students interested in starting a full-time internship from Summer 2026. This role is for a 20-week internship, based out of our Aarhus, Denmark office.  
The team is located both in Aarhus DK, the UK and the US. Please submit your CV in English. 

What You'll Be Doing 

• Assist in development of RokuOS audio subsystem features and tools 
• Assist in development of automated tests, testcases and Jenkins environment 
• Collaborate in a globally distributed software and test team 

We’re excited if you have 

• Good programming skills in C++ language 
• Good programming skills in Python language 
• Experience in use of AI for software development 
• Strong capability for troubleshooting 
• Understanding of the interaction between software and hardware 
• Experience with GIT and Jenkins is desired 
• Enrolled in a relevant engineering education at the time of application 
• A self-starter attitude and willingness to learn 
• Good English skills, both oral and written 

At Greenlight Guru, we help the world’s most innovative medical device companies bring high-quality, life-changing products to market faster. We serve 1000+ global customers with our quality management and clinical data capture software, helping them get their products on the market and keep them there. 

When you join the team at Greenlight Guru, you’ll be a part of a collaborative, mission-driven team working in one of the most exciting and rewarding industries on the planet. Backed by JMI Equity, one of the premier growth equity firms for SaaS companies, Greenlight Guru is growing—and looking for individuals who are difference makers. Is that you?

Summary:

A highly experienced quality engineer who leads testing efforts across complex systems and drives high standards for product quality. Plays a key role in mentoring others and improving testing practices, including the effective and responsible use of AI-assisted tools to enhance team productivity and quality outcomes.

Responsibilities:

• Lead and contribute to multiple concurrent engineering efforts with strong ownership
• Collaborate across teams to drive high-quality technical solutions and outcomes
• Maintain deep product and customer knowledge to inform testing strategy and risk assessment
• Design and lead testing strategies:
• Own feature-level testing strategy and execution
• Review and improve test strategies created by other Quality Engineers
• Design and execute comprehensive test plans across multiple testing types (e.g., end-to-end, API, performance, integration, accessibility)
• Design, build, and maintain automated test suites
• Execute tests, report defects, and ensure high-quality validation of fixes
• Analyze test results to identify trends, root causes, and systemic quality issues
• Troubleshoot complex defects and support root cause analysis
• Review test code and provide high-quality, actionable feedback
• Drive improvements in testing processes, tools, and overall quality practices
• Estimate effort at the feature level and support delivery planning
• Deploy to and maintain test environments
• Participate in and occasionally lead production incident response
• Leverage AI-assisted tools (e.g., ChatGPT, Copilot) to:
• Improve test design, coverage, and edge case identification
• Accelerate debugging, investigation, and failure analysis
• Enhance understanding of system behavior and quality risks
• Review AI-generated test artifacts and outputs to ensure:
• Accuracy, completeness, and meaningful coverage
• Alignment with real-world user behavior and system requirements
• Adherence to team quality standards
• Coach and mentor engineers on effective and responsible use of AI-assisted testing tools
• Reinforce expectations that AI-generated outputs meet the same quality standards as manually created tests
• Help elevate team practices for integrating AI into testing workflows
• Communicate testing strategy, risks, and quality insights clearly to stakeholders

Qualifications:

• 4+ years of experience in software testing and test automation
• Strong experience designing and maintaining automated test suites
• Experience with a variety of testing tools (e.g., Cypress, K6, Postman, Allure)
• Experience working in CI/CD and observability-driven environments
• Strong proficiency with AI-assisted tools for testing, debugging, and analysis
• Experience applying AI tools to improve testing effectiveness and efficiency
• Ability to evaluate and improve AI-generated outputs for quality and reliability
• Deep troubleshooting and analytical problem-solving skills
• Excellent communication and collaboration skills
• Ability to influence team practices and improve quality outcomes
• Curiosity about system behavior, risk, and continuous improvement

This role will be located in our office in Aalborg, Denmark, with potential to be located within 1 timezone of the office in a remote capacity.  

Greenlight Guru is an Equal Opportunity Employer. Individuals seeking employment at Greenlight Guru are considered regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. If you need assistance or accommodations to submit your application for this position, please email careers@greenlight.guru.

The Opportunity

Postman is the world’s leading API platform, helping organizations across every industry collaboratively design, build, test, document, share, and manage their APIs.

Our rocket continues to reach new heights, which is why we are looking for an experienced Solutions Engineer to support our rapidly growing enterprise customer base in the Nordics region.

As a Solutions Engineer at Postman, you will partner closely with the Sales, Product, and Customer Success teams to deliver technical expertise throughout the sales cycle. You will be a trusted advisor to our customers, helping them understand how Postman’s platform can streamline their API lifecycle, improve collaboration, and drive innovation. You will play a critical role in shaping customers’ API strategies, influencing product adoption, and ensuring technical success.

If you are passionate about APIs, software development, and solving complex customer challenges, we would love to have you on the team!

What You’ll Do

Account Strategy

• Lead technical discovery sessions to uncover customer challenges, understand pain points, and determine where Postman can provide the most value.
• Build and nurture strong relationships with technical leaders and decision-makers. Provide guidance on best practices for leveraging Postman effectively throughout the entire API lifecycle.
• Collaborate with customers to set clear success criteria, design and deliver tailored proofs of concept, and bring those goals to life through engaging demos, workshops, and hands-on sessions that highlight Postman’s strengths.
• Work closely with Sales, Product, and Customer Success teams to ensure alignment across plans and execution, driving outcomes that support customer goals.

Customer and Industry Insights

• Maintain a deep understanding of Postman’s capabilities, the API ecosystem, and industry trends (e.g., AI in API design, DevOps, and API security).
• Collect and share customer insights with Product and Engineering teams to influence roadmap decisions and enhance overall customer experience.

Marketing and Evangelism

• Represent Postman at industry events, conferences, and webinars. Create and share technical content (blogs, demos, tutorials) that highlight real-world use cases and best practices, showcasing Postman’s impact in the world of APIs and beyond.

About You

• 5+ years of experience in technical consulting, pre-sales engineering, or related roles.
• 5+ years of experience in software engineering.
• Expertise in one or more of the following:
• REST and GraphQL APIs
• API lifecycle management tools (e.g., Postman, Swagger/OpenAPI, Kong, Apigee)
• CI/CD and automation
• Cloud platforms (AWS, Azure, GCP)
• Modern software development practices
• Excellent communication skills in English, with comfort in customer-facing presentations. Communication skills in Danish or Swedish are a plus.
• Ability to travel up to 25% across the EMEA region, with occasional global travel for company events.

P-1360

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

As a software engineer with a backend focus, you will work with your team to build infrastructure for the Databricks platform at scale.

The impact you'll have:

Our backend teams cover a diverse range of domains, from core compute fabric resource management to service platforms and machine learning infrastructure. For example, you might work on challenges such as:

• Supporting Databricks' growth by building foundational infrastructure platforms that enable seamless operation across numerous geographic regions and cloud providers.
• Implementing cloud-agnostic infrastructure abstractions to help Databricks engineers more efficiently manage and operate their services.
• Develop tools and processes that drive engineering efficiency at Databricks. We enhance the developer experience for Databricks engineers across various areas, including programming languages, linters, static analysis, IDEs, remote development environments, automated release pipelines, and test automation frameworks. Our current focus is on optimizing the Rust development experience across the organization.

What we look for:

• 2+ years of professional software development experience, or alternatively a PhD degree.
• Bachelor’s degree or higher in Computer Science, related field, or equivalent experience. 
• Proficiency in one or more backend languages such as Java, Scala, or Go.
• Hands-on experience in developing and operating backend systems.
• Ability to contribute effectively throughout all project phases, from initial design and development to implementation and ongoing operations, with guidance from senior team members.
• Self-driven and passionate with a strong focus on delivering impact through team collaboration.
• Strong communication skills, both written and verbal, with the ability to produce clear technical documentation that drives alignment and decision-making.

P-1343

As a software engineer with a backend focus, you will work with your team to build infrastructure for the Databricks platform at scale.

The impact you'll have:

Our backend teams cover a diverse range of domains, from core compute fabric resource management to service platforms and machine learning infrastructure. For example, you might work on challenges such as:

• Supporting Databricks' growth by building foundational infrastructure platforms that enable seamless operation across numerous geographic regions and cloud providers.
• Implementing cloud-agnostic infrastructure abstractions to help Databricks engineers more efficiently manage and operate their services.
• Develop tools and processes that drive engineering efficiency at Databricks. We enhance the developer experience for Databricks engineers across various areas, including programming languages, linters, static analysis, IDEs, remote development environments, automated release pipelines, and test automation frameworks. Our current focus is on optimizing the Rust development experience across the organization.

What we look for:

• 5+ years of professional software development experience.
• Bachelor’s degree or higher in Computer Science, a related field, or equivalent experience. 
• Proficiency in one or more backend languages such as Java, Scala, or Go.
• Hands-on experience in developing and operating large-scale, critical distributed backend systems.
• Demonstrated leadership throughout all project phases, from inception and design to implementation and operations.
• Self-driven and passionate with a strong focus on delivering impact through team collaboration.
• Strong communication skills, both written and verbal, with the ability to produce clear technical documentation that drives alignment and decision-making.
• Experience with infrastructure systems, security, and sensitive data, as well as familiarity with Kubernetes or cloud platforms like AWS, Azure, or GCP.

P-1344

As a software engineer with a backend focus, you will work with your team to build infrastructure for the Databricks platform at scale.

The impact you'll have:

Our backend teams cover a diverse range of domains, from core compute fabric resource management to service platforms and machine learning infrastructure. For example, you might work on challenges such as:

• Supporting Databricks' growth by building foundational infrastructure platforms that enable seamless operation across numerous geographic regions and cloud providers.
• Implementing cloud-agnostic infrastructure abstractions to help Databricks engineers more efficiently manage and operate their services.
• Develop tools and processes that drive engineering efficiency at Databricks. We enhance the developer experience for Databricks engineers across various areas, including programming languages, linters, static analysis, IDEs, remote development environments, automated release pipelines, and test automation frameworks. Our current focus is on optimizing the Rust development experience across the organization.

What we look for:

• 8+ years of professional software development experience.
• Bachelor’s degree or higher in Computer Science, a related field, or equivalent experience.
• Proficiency in one or more backend languages such as Java, Scala, or Go.
• Hands-on experience in developing and operating large-scale, critical distributed backend systems.
• Demonstrated leadership throughout all project phases, from inception and design to implementation and operations, with a strong ability to drive architectural decisions and guide teams through complex challenges.
• Experience mentoring engineers, influencing best practices, and fostering a collaborative engineering environment.
• Self-driven and passionate with a strong focus on delivering impact through team collaboration.
• Strong written and verbal communication skills to drive alignment across teams, and contribute to both technical documentation and strategic decisions.
• Experience with infrastructure systems, security, and sensitive data, as well as familiarity with Kubernetes or cloud platforms like AWS, Azure, or GCP.