What will be your responsibilities within IBKR:

Technical Excellence

• Design, optimize, and extend transaction surveillance and data pipeline processes to enhance system efficiency, reliability, and scalability
• Navigate seamlessly between strategic, system-level architecture and function-level implementation details of our surveillance system, which orchestrates 150+ processes
• Optimize data architectures and databases for maximum performance and reliability
• Build developer tooling to accelerate development workflows and system monitoring
• Ensure data accuracy, security, and compliance with regulatory standards 

Ownership and Cross-Functional Partnership

• Take ownership of projects and sub-systems from planning through resolution, making impactful decisions on complex technical and business-related questions
• Collaborate effectively with quantitative engineers, surveillance model developers, and Compliance stakeholders to translate complex business requirements into scalable designs and processes
• Identify project bottlenecks, risks, and limitations; calculate costs; and provide strategic insights to stakeholders
• Transform high-level surveillance concepts into production-ready processes that deliver actionable insights

Data Architecture & Stewardship

• Own and curate dozens of mission-critical datasets that drive surveillance operations
• Design, build, and automate robust data pipelines to support real-time and batch processing
• Develop advanced data quality frameworks to proactively identify issues before they impact operations

Innovation & Optimization

• Contribute to the evolution of coding standards and internal code review processes
• Drive best practices in data storage, retrieval, governance, and privacy protection
• Drive automation of processes and workflows to reduce manual effort and enhance system maintainability

 Which skills are required:

• 5+ years of professional software engineering experience in Python, C++ or Java
• 3+ years of professional experience in Python as a primary language (non-scripting)
• Extensive experience in Pandas or NumPy, Polars is nice to have
• 1-3 years of professional experience with Linux operating systems
• Thorough understanding of databases and SQL
• Experience with large Python codebases
• Bachelor's or master's degree in Computer Science, or a related area
• High attention to detail

Good to Have:

• Experience with data engineering or ETL pipelines
• Knowledge of finance
• Knowledge of C++ or Java
• Masters/PhD

To be successful in this position, you will have the following:

• Self-motivated and able to handle tasks with minimal supervision.
• Superb analytical and problem-solving skills.
• Excellent collaboration and communication (Verbal and written) skills.
• Outstanding organizational and time management skills.

Company Benefits & Perks

Why Cast AI?

Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.

The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.

Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.

Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. 

Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.

Join us as we build the future of autonomous infrastructure.

This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, and Ukraine.

About the role

You'll join one of several teams building the low-level systems behind CAST AI's multi-cloud automation platform. The work sits at the intersection of Kubernetes, cloud infrastructure, and Linux.

Depending on your strengths, you'll work in one of these areas:

• Cluster and node lifecycle - custom node bootstrapping across AWS, GCP, and Azure. Controllers and operators managing full node lifecycle. Bridging the gap between autoscaler decisions and running VMs - including working around limitations of managed Kubernetes platforms like EKS, GKE, and AKS.
• Cross-cloud provisioning - orchestrating infrastructure across regions and clouds. Workflow orchestration, provisioning integrations, networking and identity across cloud boundaries.
• Live container migration - zero-downtime relocation of running containers using CRIU checkpoint/restore, custom CRI-O and runc forks, and forked cloud CNI plugins. Memory page transfer, TCP session migration, process-level checkpoint/restore. Kernel-level Linux engineering applied to Kubernetes.
• Storage optimization - dynamic volume rightsizing, BtrFS compression, custom CSI drivers. Full storage stack from cloud disk APIs through filesystem internals to Kubernetes PV/PVC lifecycle.

Common across all teams: Go, deep Kubernetes, multi-cloud, building beyond what the ecosystem offers.

How we build

We invest heavily in agentic development and AI-powered tooling. Engineers work with code agents and automated workflows daily. We expect you to shape how these tools evolve.

Requirements:

• Strong backend fundamentals and production-grade coding, preferably Go.
• Hands-on Kubernetes internals, cloud infrastructure, or large-scale distributed systems experience.
• Clear English communication, collaborative and self-directed.
• Bias toward action and ownership.

What would make you stand out

• Deep knowledge of EKS, GKE, or AKS internals.
• Low-level Linux experience: process internals, networking (NAT, iptables, conntrack, SDN), filesystems, storage.
• Kubernetes or cloud-native OSS contributions.
• Cloud storage depth - block storage, CSI, volume management, filesystem internals.
• Container runtime experience (CRI-O, runc, containerd) or CRIU.
• Experience with AI coding agents and agentic development workflows.
• Comfort building where there's no playbook.

Responsibilities:

• Design, build, and operate backend services, Kubernetes operators, and controllers in Go across AWS, GCP, and Azure.
• Solve infrastructure-layer problems — networking, scheduling, storage, compute, or container runtime internals.
• Build and maintain high-throughput services (gRPC/REST) and async orchestration workflows.
• Shape public and internal APIs.
• Leverage and improve AI-powered development workflows.
• Participate in design reviews, code reviews, on-call, and customer deep-dives.

What’s in it for you?

• Competitive salary (€6,500 - €9,000 gross, depending on the level of experience)
• Enjoy a flexible, remote-first global environment.
• Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
• Equity options.
• Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
• Spend 10% of your work time on personal projects or self-improvement. 
• Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
• Annual hackathon to spark new ideas and strengthen team bonds.
• Team-building budget and company events to connect with your colleagues.
• Equipment budget to ensure you have everything you need.
• Extra days off to help maintain a healthy work-life balance.

Hiring process

• Screening call with Recruiter
• Hiring Manager interview
• Technical interview (system design)
• Live coding
• Culture Check interview with an executive

*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI does not provide any form of visa sponsorship/work permit.

#LI-Remote

The Position

At OPSWAT’s Technology Development Centre in Veszprém, we are looking for talented Machine Learning Operations Engineers to join our teams developing and deploying advanced AI-driven cybersecurity solutions that protect critical infrastructure across the globe. If you are knowledgeable, creative, and passionate about building reliable, scalable, and efficient ML pipelines and infrastructure - enabling data scientists to deliver innovative models seamlessly into production - then you could be exactly who we’re looking for! 

In Veszprém, in the heart of a peaceful, friendly, historic city, we have created a modern, inspiring office environment that encourages collaboration, where friendly, direct relationships between colleagues and high-quality professional work are equally important. Using modern, innovative technologies, we work on products that truly contribute to making our world safer at one of the world's leading cybersecurity companies.  We support professional development through training, mentoring, and real opportunities for advancement. The Veszprém office offers the perfect balance of calm and professionalism – a modern environment, friendly people, and a strong team spirit.
If you want to work in a place where your knowledge is valued and you are treated as a person, then OPSWAT Veszprém is the place for you.

At OPSWAT, we believe that great talent is always worth getting to know, even when there are no current vacancies. Our Evergreen Machine Learning Operations Engineer position offers continuously open opportunities for enthusiastic and motivated professionals who may join us in the future. It is not tied to a specific vacancy, but it enables us to get to know you and stay in touch, so that when a new opportunity arises, you could be among the first people we reach out to.  

If you’re interested in working as a Machine Learning Operations Engineer at OPSWAT, please apply, and we will get in touch!

You Will Have the Opportunity to

• Build and maintain robust CI/CD pipelines for ML models and data workflows
• Automate and manage the end-to-end lifecycle of machine learning models, from training to deployment and monitoring
• Develop infrastructure to support scalable, reproducible model training and serving in Cloud or on-premise environments
• Monitor model performance in production, detect model/data drift, and implement alerting systems
• Collaborate with Data Scientists and DevOps Engineers to operationalize ML models and integrate them into products
• Drive Infrastructure-as-Code (IaC) and DevOps best practices in ML environments
• Identify and troubleshoot production issues with ML models
• Collaborate with cross-functional and product teams to identify, develop, and test out new ideas
• Build and nourish a culture of data-driven decision making, influencing the mindset of colleagues and management as well

What We Are Looking For

• 3+ years of experience in MLOps, DevOps, or ML Engineering
• Strong programming skills in Python and Bash
• Experience with ML frameworks as training/serving (e.g., Ray, Sagemaker jobs)
• Knowledge of monitoring tools and best practices for production ML systems(eg: Tensorboard, Datadog,Streamlit)
• Hands-on experience with CI/CD tools (e.g., GitHub Actions, Bitbucket pipelines, TeamCity)
• Proficiency with containerization and orchestration (Docker, Kubernetes)
• Experience with Cloud platforms (AWS, GCP, or Azure) and ML services (e.g., SageMaker, Vertex AI, MLflow, Kubeflow) and automation solutions (terraform / ansible / others)
• Knowledge of monitoring tools and best practices for production ML systems
• Solid understanding of the ML model lifecycle, versioning, and reproducibility
• Strong communication skills and the ability to work cross-functionally
• Experience with Linux systems
• Excellent troubleshooting skills and a commitment to document findings

Why You'll Love Working Here

• Stable, growing international company background with an exceptional customer group 
• Opportunity to improve your professional skills 
• The newest technology environment 
• Language course and opportunity for active recreation – kettlebell, football and office massage 
• Attractive working environment – nice office full of accessories (fruits every day, coffee, breakfast, tea etc.)
• Regular team events and Happy Hour activities 

About the role:

As a trusted partner for intelligent automation, we solve highly complex problems for our enterprise customers and put their information to work to transform the way they do business. Innovation and excellence run through our veins, and you'll work with experts who are creating market-leading technologies, using Machine Learning, Artificial Intelligence, and an advanced, sophisticated tech stack.

We are seeking a skilled Staff Software Engineer to drive the modernization and evolution of our C++ Computer Vision library, including the development of new algorithms specifically for Intelligent Document Processing (IDP). This role focuses on deep technical expertise to deliver robust, high-performance Computer Vision solutions that support our product teams. Our extensive library incorporates algorithms from Classical Computer Vision, Machine Learning, Deep Learning, to cutting-edge Multimodal models. The ideal candidate will design and implement core library architecture while mentoring team members and collaborating across functions to ensure the long-term success of our vision technology. Strong experience with Computer Vision concepts and algorithms is highly valued.

Job Responsibilities:

Technical Leadership & Innovation

• Design and implement major architectural improvements to our C++ Computer Vision library
• Drive technical decisions for library modernization, scalability, and performance
• Establish technical standards and best practices for C++ development
• Lead implementation of critical algorithms and optimization initiatives
• Design robust error handling, testing, and verification systems
• Develop solutions for code quality, maintainability, and developer experience

Technical Mentorship & Collaboration

• Mentor senior and junior engineers on technical challenges
• Provide expert guidance on complex modernization implementations
• Drive adoption of modern C++ engineering best practices
• Facilitate technical knowledge sharing and design discussions
• Contribute technical insights to roadmap planning
• Elevate team capabilities through knowledge transfer

Architecture & Innovation

• Design and implement high-performance, memory-efficient algorithms
• Lead major refactoring and modernization initiatives
• Develop new Computer Vision algorithms focused on Intelligent Document Processing
• Establish patterns for cross-platform compatibility
• Implement advanced optimization techniques
• Design library architecture for internal product teams
• Ensure robustness and reliability of production systems

Job Requirements:

Education & Experience

• Bachelor's or Master's degree in Computer Science, Engineering, or related field
• 5+ years of software engineering experience
• Strong background in C++ development and cross-platform library design
• Cross-Platform experience in at least a couple of platforms: Windows, Linux, Mac
• Experience building and maintaining production-grade software systems

Technical Expertise

• Deep knowledge of modern C++
• Expertise in software architecture and design patterns
• Strong understanding of Computer Vision and Machine Learning algorithms and techniques
• Experience with performance optimization and profiling
• Knowledge of low-level system programming considerations
• Background in building maintainable, well-tested software components

Technical Leadership & Communication

• Experience technically guiding a team and mentoring engineers on technical challenges
• Track record of driving architectural and design decisions
• Strong team collaboration and communication skills
• Ability to work effectively across technical teams
• History of solving complex engineering problems

This role offers the opportunity to shape essential Computer Vision technology while growing technical leadership skills. The ideal candidate will combine deep C++, Computer Vision and ML expertise with the ability to implement complex technical solutions and mentor others.

Here are some of our local benefits:

Do you want to change how the world creates?

At Formlabs, we’re building the tools that make it possible for anyone to bring their ideas to life, from cutting-edge products to life-saving medical devices. Our 3D printing technology powers innovation at more than 50,000 industry leaders worldwide, including Apple, Google, Tesla, New Balance, and NASA. Together, we’re helping everyone design, prototype, and manufacture faster than ever before.

We are looking for an Embedded Software Engineer for our Embedded team with a user focused mindset and strong technical background. Our embedded team is the essential component that ties software, hardware and electronics together that pushes the limits of 3D printing. They are responsible for designing and implementing our firmware. 

**This is a Hybrid role which requires weekly presence in our Budapest office.

The Job:

• Design, build, test, and ship development tools and prototype code for your fellow R&D engineers working on new, unlaunched Formlabs products. 
• Design, build, test and ship code for new printer features to the tens of thousands of Formlabs devices in the field
• Ensure code re-use with a strong focus on maintainability, testing and CI
• Collaborate with different stakeholders (product managers, designers) to ensure we build the right features for our customers, existing and future. 

You:

• Have written code that lives on hardware products 
• Program with modern languages used for embedded software stacks, ideally in C++, and/or Python
• Easily implement common embedded software architecture patterns for things like filtering, control loops, and remote procedure calls
• Are willing to take initiative and learn from failures
• Distill complex things simply when communicating with non-software stakeholders. 

We Offer:

• Hybrid work
• Shares in the company (RSUs)
• Catered lunch at the office 3 days per week
• Private health insurance with Medicover (Blue package + hospital coverage)
• A monthly or quarterly public transportation pass for Budapest
• Free beverages and snacks at the office
• All You Can Move sports pass with 7000 HUF monthly allowance
• Free 3D prints
• An inclusive, dog-friendly office with diverse and inspiring colleagues
• Development opportunities both in-house and off-site

We build amazing things. Come join us!

We are an equal opportunity employer and value diversity in our company.  We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.  

Even if you don't check every box, but see yourself contributing, please apply. Help us build an inclusive community that will change the face of 3D printing.

Your personal data is processed in accordance with our Privacy Policy. If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at  privacy@formlabs.com.

This role is located in Budapest, Hungary – We are a hybrid work environment and are in the office 3+ days per week.

Tulip, the leader in AI-native frontline operations, is helping companies around the world equip their workforce with composable, connected apps, leading to higher quality work, improved efficiency, and end-to-end traceability across operations. Tulip’s cloud-native, no-code platform, powered by embedded AI, is driving the digital transformation of industrial environments through composable, human-centric solutions that go beyond disrupting the Manufacturing Execution System (MES) category.

A spinoff out of MIT, Tulip is headquartered in Somerville, MA, with offices in Germany, Hungary, Singapore, and Israel. Tulip has been recognized as a World Economic Forum Global Innovator, a 2024 Deloitte Technology Fast award winner, one of Energage’s Top Workplaces USA, and one of Built In Boston’s “Best Places to Work” and “Best Midsize Places to Work.”

About You

The Tulip Embedded team focuses on development of the Tulip OS, maintaining and supporting bootloader, kernel, and userspace development for Tulip Hardware (Edge MC, Edge IO) and beyond. In this role, you will also work alongside product management and customers to identify key features, product performance, and contribute to strategic planning.

• Built large embedded (Linux) products in past roles (specifically user-facing products).
• Worked or designed connected edge/cloud environments and architected systems.
• Worked independently on problems and learned in the process.
• Collaborated on an interdisciplinary and diverse team.
• Partnered with Product and Design teams to help scope work.

What skills do I need?

• 6+ years of experience building embedded products used daily by customers
• Experience with a systems language (C, C++, Rust)
• Experience in an OS build system (Yocto, Buildroot, Android)
• Experience with shell scripting and command line environments
• Familiarity with an interpreted language (e.g., JavaScript, Python)
• Familiarity with common hardware buses and devices (e.g., I2C, SPI, PCIe)
• Working understanding of fundamental web and networking concepts, including HTTP, DNS, TCP/IP, SSL/TLS, sockets, proxy servers
• Experience in designing and implementing RESTful APIs over a microservice architecture (bonus)
• Experience with Redux, Node.js, Go, Electron, MongoDB, Postgres, WebSockets (bonus)
• Experience as a team lead or technical lead for a software team (bonus)
• Bias for action and impact

Key Responsibilities

• Maintain the Tulip Operating System (e.g., building, packaging, and supporting the OS)
• Configure and maintain routing, networking, and device configurations
• Maintain and add bootloader, kernel patches, and device trees on Tulip hardware
• Port the Tulip OS to other hardware targets
• Maintain and support OS toolchain and versioning
• Debug and resolve customer issues with support staff and technical teams
• Support security-related tooling for engineering firmware releases and release process

Key Collaborators

• Hardware and Software Engineers
• Hardware Manufacturing
• Software QA
• Applications Engineering
• Product Management

Working At Tulip

We know even great candidates experience imposter syndrome. Even if you don’t match every requirement, applying gives you the opportunity to be considered.

We’re building a strong, diverse team that values hard work, families, and personal well-being. Benefits of working with us include:

• Direct impact on product and culture
• Private healthcare insurance
• Company equity
• Virtual company events and happy hours
• Flexible work schedule and unlimited vacation policy
• Team lunches in KFT Hub and office snacks
• Learning & Development incentive
• HU eyeglass benefit
• An inclusive, dog-friendly office with diverse and inspiring colleagues

We are an equal opportunity employer. At Tulip, we celebrate all. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Help us build an inclusive community that will transform frontline operations.