Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

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Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

IMC is continuing to grow its trading initiative in Aarhus, Denmark, to become a major player in the European Power and Gas markets. This expansion is built on a strong foundation of experienced external hires in Trading and internal talent in Technology. With a collaborative and entrepreneurial culture, the team offers a unique opportunity to contribute to shaping and scaling this new business.

The group combines deep expertise with broad trading experience and values innovation, ownership and cross-functional collaboration. As this business continues to grow, there will be increasing opportunities to take on broader responsibilities and contribute meaningfully to its success.

Core Responsibilities

• Generate and validate high-quality alpha signals using statistical methods and machine learning, with strong focus on robustness and overfitting
• Combine market microstructure and energy fundamentals to build predictive trading signals
• Build and maintain reliable, production-ready models with clear testing and validation standards

Skills and Experience

• 2+ years of experience developing quantitative models, ML-driven signals, or trading strategies in financial futures markets, preferably within energy
• Strong foundation in probability and statistics, with substantial real-world experience applying machine learning or deep learning
• Strong programming skills (Python preferred), with experience writing production-quality code
• Experience working with large-scale time series data
• Practical mindset focused on deployable solutions and real-world trading performance

P-1450

At Databricks, we are passionate about helping data teams 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 dedicated to our customers, we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for working with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

As a software engineer, you will work with our engineering team to build infrastructure and products for the Databricks platform. We're hiring across all of our teams, including backend, full stack, infrastructure, databases, systems, tools, cloud, and customer-facing products. You will join a cohort of engineers who will build their careers through collaborative projects and learning opportunities. With a dedicated mentor and supportive team, you'll onboard quickly and start contributing to impactful projects soon after starting here at Databricks!

The impact you will have:

• Work with a team to build features and improve architecture for the Databricks platform
• Develop and extend the Databricks product
• Own full software development lifecycle: design, development, testing, and operating in production
• Build solutions with a high level of reliability, scalability, and security

What we look for:

• You will graduate between fall 2025 and summer 2026 with a degree in Computer Science, Engineering, or related subject
• You have implementation skills with a general purpose program language, such as Python, Java, or C++
• You have knowledge of algorithms, data structures, and OOP principles
• You have experience managing end-to-end projects

We are hiring Software Engineer - New Grads across multiple offices. Please apply for the single location that you're the most interested in, and we will discuss more with you as you move through the process. We can only consider one application in 30 days. 

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.