At Scale AI, we’re not just building AI tools—we’re pioneering the next era of enterprise AI. As businesses race to harness the power of Generative AI, Scale is at the forefront, delivering cutting-edge solutions that transform workflows, automate complex processes, and drive unparalleled efficiency for the largest enterprises. Our Scale Generative AI Platform (SGP) provides foundational services and APIs, enabling businesses to seamlessly integrate AI into their operations at production scale.

We’re looking for a Backend Engineer to help bring large-scale GenAI systems to production. In this role, you’ll build the core infrastructure that powers AI products for some of the world’s largest enterprises—designing scalable APIs, distributed data systems, and robust deployment pipelines that enable production-grade reliability and performance. 

This is a rare opportunity to be at the center of the GenAI revolution, solving hard backend and infrastructure challenges that make AI truly work at enterprise scale. If you're excited about shaping how AI systems are deployed and scaled in the real world, we want to hear from you.

At Scale, we don’t just follow AI advancements — we lead them. Backed by deep expertise in data, infrastructure, and model deployment, we are uniquely positioned to solve the hardest problems in AI adoption. Join us in shaping the future of enterprise AI, where your work will directly impact how businesses operate, innovate, and grow in the age of GenAI.

You Will:

• Design, build, and scale backend systems that power enterprise GenAI products, focusing on reliability, performance, and deployment across both Scale’s and customers’ infrastructure.
• Develop core services and APIs that integrate AI models and enterprise data sources securely and efficiently, enabling production-scale AI adoption.
• Architect scalable distributed systems for data processing, inference, and orchestration of large-scale GenAI workloads.
• Optimize backend performance for latency, throughput, and cost—ensuring AI applications can operate at enterprise scale across hybrid and multi-cloud environments.
• Manage and evolve cloud infrastructure (AWS, Azure, or GCP), driving automation, observability, and security for large-scale AI deployments.
• Collaborate with ML and product teams to bring cutting-edge GenAI models into production through efficient APIs, model serving systems, and evaluation frameworks.
• Continuously improve reliability and scalability, applying strong engineering practices to make AI systems robust, maintainable, and enterprise-ready.

Ideally, You Have:

• 4+ years of experience developing large-scale backend or infrastructure systems, with a strong emphasis on distributed services, reliability, and scalability.
• Proficiency in Python or TypeScript, with experience designing high-performance APIs and backend architectures using frameworks such as FastAPI, Flask, Express, or NestJS.
• Deep familiarity with cloud infrastructure (AWS and Azure preferred), including container orchestration (Kubernetes, Docker) and Infrastructure-as-Code tools like Terraform.
• Experience managing data systems such as relational and NoSQL databases (PostgreSQL, DynamoDB, etc.) and building pipelines for data-intensive applications.
• Hands-on experience with GenAI applications, model integration, or AI agent systems—understanding how to deploy, evaluate, and scale AI workloads in production.
• Strong understanding of observability, CI/CD, and security best practices for running services in enterprise or multi-tenant environments.
• Ability to balance rapid iteration with production-grade quality, shipping reliable backend systems in fast-paced environments.

Collaborative mindset, working closely with ML, infra, and product teams to bring complex GenAI systems into production at enterprise scale.

The Sportsbook Area is now hiring! Our world-class Sportsbook is fully developed in-house by our dedicated Sportsbook tech team and growing at a very rapid rate, expanding not only in new markets but also as a B2B product serving and offering a sports betting platform in different regions of the world. Our Product Development organisation is a cross functional one with teams spanning across 5 different Tech Hubs - in Malta, Budapest, Stockholm, Tallinn and Athens.

The Wow

Much like a rollercoaster, life at Betsson Group is fast-paced, full of twists and turns, and always exciting. With more than 2,800 colleagues representing over 75 nationalities across a global network of offices - including 1,500 at our operational headquarters in Malta - every day brings new challenges and opportunities to grow. It may not be for the faint-hearted, but if you thrive on innovation, enjoy pushing boundaries and want to be part of a diverse, international team, then you’ll fit right in at Betsson.

Our sportsbook platform is fully developed and operated in-house – from architecture and engineering to the trading operations. It powers more than 20 brands, delivering a comprehensive sports betting experience to our customers. From the internal tools used by our trading teams to the cutting-edge features that enhance the customer betting journey, our platform is built and maintained by dedicated, high-performing teams.
Our mission is to deliver industry-leading performance, functionality, and user experience within the iGaming space.
As part of our Sportsbook Technology team, you will contribute to a high-performance, high-throughput, and highly available product ecosystem. You will play a key role in ensuring that the team consistently delivers measurable business value while maintaining technical excellence.

A taster of what you will be doing:

• As a Tech Lead you will be part of the Sportsbook B2B & Integrations Value stream, participating in design, POCs and development of complex tasks and also a key person in the team who ensures a high-quality delivery by the developers.
• Work closely with architects within the area to ensure that the architecture direction set is being communicated, aligned & implemented within the teams.
• You will also be aligning with the other tech leads across the product development department to ensure the technical consistency, take ownership of and drive technical excellence initiatives within Sportsbook.
• Identify technical improvements in the applications you are responsible for.
• Validate technical improvements and help Product Managers prioritise such improvements
• Be able to explain the benefits of technical improvements to both technical and non-technical audience.
• You will also participate in development, testing, code reviews, bug fixing, implementing new features as well as maintaining and improving the existing functionality.
• Help build our world class team, thus participating in technical interviews as well as coaching & mentoring engineers.
• Stay up to date with technology, understand the benefits and use cases of a variety of technologies and be strategic in their implementation.

What we are looking for:

• Someone who is passionate about building things, with a strong technical background and an understanding of non-functional requirements.
• Expertise with designing and implementing distributed microservices
• Deep understanding of the latest C# and .NET framework/core.
• Experience deploying scalable back-end solutions using AWS/Azure/GCP.
• Expertise with distributed systems and high-speed database technologies, including SQL (PostgreSQL) and NoSQL (e.g., MongoDB, Redis).
• Familiarity with messaging systems, message queues, and event-driven architecture.
• Knowledge of containerization (e.g., Docker) and orchestration (e.g., Kubernetes).
• Deep understanding of coding best practices.
• You are a team player who readily offers help and shares knowledge with your colleagues.
• You are someone who is pro-active and love to not only to suggest improvements but also drive them.

Reporting

The employee reports to the Engineering Manager.

What we offer

• Fitness-wellness allowance  🧗‍♂️
• Company mobile phone for private use with 100 GB  📱
• Annual HUF devaluation compensation  💡
• Hybrid model: 3 days in the office 🏢  & 2 days from home  🏠
• Private Health Insurance  🩺
• Career development  📈
• Technical and soft-skill training opportunities 🎓
• Breakfast, fruits & lunch 🍎
• Team building events  🥳

Challenge accepted?

By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

We are looking for an experienced Corporate Infrastructure Engineer who will be focused on Wolt and Doordash´s IT Infrastructure. This role will build and scale our systems to support a fully automated infrastructure by leveraging various technologies. You will work closely with several teams here at DoorDash including (but not limited to): Security, IT, Network Engineering and Enterprise Systems.

Our ideal candidate for this position will have the ability to identify problems and offer resolutions in a timely manner. You will be responsible for the design, development and implementation of corporate IT systems. You will report into the Manager, Infrastructure in our IT organization.

What you’ll be doing

• Run and maintain our corporate infrastructure hosted in AWS
• Maintain and administer infrastructure deployment tools
• Be self motivated to build high quality, scalable systems with cross-functional teams
• Be able to think critically, get into the details and change directions rapidly
• Be able to handle multiple contending priorities and effectively plan your work accordingly
• Navigate existing technologies and quickly learn and adapt to new technologies
• Make recommendations for the improvement and development of IT systems

Our humble expectations*

• You have 4+ years of experience in an Infrastructure Engineering role
• You have demonstrated experience with Python, bash and other scripting fundamentals
• AWS, Azure, Kubernetes, Docker and GCP systems/tools of high familiarity
• You have 2+ years of experience with Infrastructure as a Code tools like Terraform, CloudFormation, Pulumi.
• You have 2+ years of experience working with microservices
• You understand that monitoring/observability is equally important. Experience with but not limited to tools like Prometheus, Grafana, Nagios, Datadog, Splunk.
• You have experience in configuration management and security management
• You are a self starter with attention to detail who understands the value in system monitoring

Next steps

All applications are reviewed by a real human, so please be patient. Qualified candidates will have the opportunity to speak with a member of our recruiting team before moving on to talk with the hiring manager. This is a highly technical role so the next step will be a live scripting/coding interview, followed by chats with members of the team and cross-functional partners.

We are looking to fill this role as quickly as possible, but are committed to finding the right candidate who will be successful in the role

We are currently looking for passionate early-career professionals and recent graduates to join our October cohort for an intensive, 6-month training program to become Data Engineering (with Databricks) Consultants.

We don’t expect you to be a Data Engineer on day one, but we do expect you to have the drive to become one. Upon completing the program, you’ll work within our EMEA and US customer teams to help them solve their data engineering, ML, MLOps, GenAI, LLMOps, and cloud migration puzzles.

DATAPAO's Data Engineering Academy is a 6-month intensive training program launching in early October 2026. It is designed to scale you up into a top-notch Data Engineer (with Databricks) Consultant.

The program is put together and run by consultants and technical Instructors who have delivered Databricks projects and enabled data professionals across EMEA for years. This means you will have the opportunity to learn from the world-class consultants and instructors who built DATAPAO's Gold Partner legacy within the Databricks Partner Ecosystem.  

Phase 1 (Month 1-3)

This will be a high-intensity learning phase. You’ll follow a bi-weekly sprint model: one week of deep-dive technical classes, followed by one or two weeks of hands-on project delivery. You’ll master the stack we use for our global clients, specifically Apache Spark and Databricks on AWS/Azure.

Phase 2 (Months 4-6)

During this period, you’ll gradually move into complex capstone projects and also start shadowing our senior consultants on real-life engagements. The phase focuses on building your consulting skills by delivering simulated projects and shadowing real calls to observe how we navigate requirements and advise stakeholders. You will also have the opportunity to contribute to internal strategic projects, eg. building an automatic migration tool. 

Post-Graduation

Once you graduate, you’ll officially join our project teams. Over time, as your seniority grows, you’ll transition into delivering and/or leading complex end-to-end projects across our entire global portfolio.

What does it take to fit the bill?

What do we offer?

The base salary for this position is 900,000 HUF gross/month. Additionally, you will receive a 750,000 HUF gross bonus at the end of each quarter (dependent on program milestones completion) up until your first work anniversary.

We will kick-off the selection process in mid-May for our upcoming October 2026 cohort.

At Betsson Group, we strive to deliver the best customer experience in the industry. We are one of the market leaders in iGaming, offering online gaming products in a number of markets, both through our own gaming sites as well as several partner brands.

The Wow

Our Product Development organisation spans across 5 locations, with the most creative teams in the industry! If you are passionate about the latest technologies and can handle mission-critical responsibilities, then this is the role for you!

We are operating in a very competitive market therefore we MUST use latest technologies. Our aim is to create the best performance, functionality, and user experience in the iGaming industry!

You will be part of a passionate team, which is building an industry leading, scalable, multi-brand platform to support 40+ online brands! Our brands are used by hundreds of thousands of users and growing.

What's in it for you?

Player Account Management (PAM) Area covers everything related to the management of the player accounts, such as:

• Account creation, verification, updates, and closure
• Account authentication, controls, and security
• User session management
• Responsible Gaming 

A taster of what you will be involved with: 

• Incident & Problem Management: Investigate system incidents, drive Root Cause Analysis (RCAs), and execute long-term remedial fixes. Proactively reduce the number of incidents caused by system changes.
• Observability & Metrics: Define and enforce Service Level Agreements (SLAs), Service Level Objectives (SLOs), and success metrics for new initiatives. Build and maintain comprehensive dashboards to achieve observability excellence.
• Performance & Capacity: Identify and help resolve performance bottlenecks. Optimize infrastructure and code to maintain fast service, and conduct capacity planning to forecast future hardware or cloud resource requirements.
• Availability & Change Management: Guarantee the Platform components remain highly reachable and functional for users. Oversee deployments to ensure new code does not disrupt the existing system.

What we are looking for

• Observability & Monitoring: Deep experience building dashboards and tracking SLAs/SLOs using tools like Prometheus, Grafana, Coralogix, Splunk, or Loki.
• Programming & Automation: Proficiency in scripting and coding to automate manual tasks (eliminate "toil") and build reliability tools. Strong skills in .NET, Python, Powershell or Bash are highly preferred.
• Infrastructure as Code (IaC) & Cloud: Experience provisioning and managing infrastructure using Terraform or Ansible, along with a solid understanding of cloud platforms (AWS, GCP, or Azure).
• Containerization & Orchestration: Hands-on experience scaling and managing distributed systems using Kubernetes (K8s) and Docker.
• CI/CD & Change Management: Familiarity with deployment pipelines (GitLab CI, GitHub Actions, Team City, Octopus) to ensure safe, automated rollouts that don't cause incidents.
• Core Competencies: Strong analytical skills for Root Cause Analysis (RCA), a calm approach to incident response, and the ability to lead blameless post-mortems.
• AWS Cloud infrastructure, CDNs, and other various systems running in multiple data centres and environments
• Cloud Application Load Balancer, preferably with experience on AWS ALB
• Cloud DNS support such as AWS Route 53, GCP Cloud DNS, or Azure DNS
• Experience with Microsoft SQL databases, PostgreSQL, and Couchbase is considered an asset. 

Why Betsson Group? 

We get it, everyone is hiring! So what makes us different?

Much like a rollercoaster, life at Betsson Group is fast-paced, full of twists and turns, and always exciting. With more than 2,800 colleagues representing over 75 nationalities across 21 offices worldwide - including 1,500 at our operational headquarters in Malta - every day brings new challenges and opportunities to grow. It may not be for the faint-hearted, but if you thrive on innovation, enjoy pushing boundaries and want to be part of a diverse, international team, then you’ll fit right in at Betsson.

Learn more here about why you should seriously consider becoming our next Betssonite!

If you are interested to learn more, please apply with your CV in English.

By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

The Role We are seeking an exceptional Python Lead Engineer to join a small team working on complex data pipelines, AI/ML systems, and cutting-edge software solutions. This role will be responsible for managing technical objectives, providing technical leadership, and maintaining a hands-on approach to development. The ideal candidate will work closely across teams within WorldQuant as part of our business-facing technology organization. 
A successful candidate will possess deep expertise in Python development, data engineering, software architecture, and design principles. They should be able to mentor junior team members, conduct code reviews, and drive architectural decisions. Experience with AI and large language models (LLMs) is highly desirable.

What You'll Bring

• Master's degree or higher in Computer Science, Engineering, or a related technical field from a top-tier institution. 
• 7+ years of experience as a Python developer, with a strong focus on data engineering and AI/ML systems.
• Expert-level knowledge of Python and its ecosystem, including experience with data processing libraries like Pandas, NumPy, and PySpark. 
• Proficiency in designing and implementing scalable, maintainable, and efficient data pipelines. 
• Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes). 
• Expertise in version control systems (Git), CI/CD practices, and agile methodologies. 
• Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders. 
• Proven track record of mentoring junior engineers and fostering a collaborative team environment. 
• Experience in the finance industry is a plus but not required. 
• Experience with AI/ML frameworks such as PyTorch, or scikit-learn, LLM, agents or systems of agents is a significant plus.

What We Offer:

• Competitive compensation package 
• Core benefits include: premium private health insurance and life insurance with savings plan  
• Support for every aspect of life through Employee Assistance Program and fully covered sick leave 
• Strong culture of learning and development: training courses, library, guest speakers, share and learn events, global conferences 
• Regular offsite team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams 

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

The Role We are seeking an exceptional senior-level Python engineer to join a small team working on complex data pipelines, AI/ML systems, and cutting-edge software solutions. This role will be responsible for managing technical objectives, providing technical leadership, and maintaining a hands-on approach to development. The ideal candidate will work closely across teams within WorldQuant as part of our business-facing technology organization.
A successful candidate will possess deep expertise in Python development, data engineering, software architecture, and design principles. They should be able to mentor junior team members, conduct code reviews, and drive architectural decisions. Experience with AI and large language models (LLMs) is highly desirable.

What You'll Bring

• Master's degree or higher in Computer Science, Engineering, or a related technical field from a top-tier institution. 
• 5+ years of experience as a Python developer, with a strong focus on data engineering and AI/ML systems.
• Expert-level knowledge of Python and its ecosystem, including experience with data processing libraries like Pandas, NumPy, and PySpark. 
• Proficiency in designing and implementing scalable, maintainable, and efficient data pipelines. 
• Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes). 
• Expertise in version control systems (Git), CI/CD practices, and agile methodologies. 
• Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders. 
• Experience in the finance industry is a plus but not required. 
• Experience with AI/ML frameworks such as PyTorch, or scikit-learn, LLM, agents or systems of agents is a significant plus.

What We Offer:

• Competitive compensation package 
• Core benefits include: premium private health insurance and life insurance with savings plan  
• Support for every aspect of life through Employee Assistance Program and fully covered sick leave 
• Strong culture of learning and development: training courses, library, guest speakers, share and learn events, global conferences 
• Regular offsite team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams 

The Sportsbook Area with Product Development is now hiring! We have a world-class Sportsbook, developed in-house by our dedicated Sportsbook tech team and growing at a very rapid rate, expanding not only in new markets but also as a B2B product. Having our product available in different parts of the world and offering sports all around the world requires to have support around the clock. Our Product Development organisation is truly Global with cross functional teams spanning 5 Tech Hubs. These can be found in Malta, Budapest, Stockholm, Tallinn and Athens.

The Wow

Much like a rollercoaster, life at Betsson Group is fast-paced, full of twists and turns, and always exciting. With more than 2,800 colleagues representing over 75 nationalities across a global network of offices - including 1,500 at our operational headquarters in Malta - every day brings new challenges and opportunities to grow. It may not be for the faint-hearted, but if you thrive on innovation, enjoy pushing boundaries and want to be part of a diverse, international team, then you’ll fit right in at Betsson.

Our Sportsbook Platform is ours – from our Architecture to our Trading teams – we have an in-house platform which hosts our brands offering Sportsbetting for our customers. From the tools our traders use to the cutting edge features our customers use to bet on various sports – our teams are the backbone to making this happen! Our aim is to create the best performance, functionality and user experience in the iGaming industry! As part of our Sportsbook tech team – a high performance, throughout and availability product serving many brands (20+), you will be key in ensuring that the team delivers the required business value.

You are good at

• .NET/C#
• .NET Core
• Interacting with REST APIs
• SQL Server, writing queries and tuning performance
• Communicating in English
• Agile development
• Unit testing frameworks
• Collaborating and knowledge sharing

Extra awesome

• Implementing distributed and multi-tier/micro-service systems
• Experience with cloud computing services (eg. AWS, Azure)
• Experience with Containerized applications / Docker / Kubernetes

A flavour of what you'll be doing

You will be part of an end-to-end agile team with a strong feature focus, consisting of developers, QA engineers and UX specialists. Team members are expected to be involved in all aspects of software development from making sure that the architecture and design is as good as we can make it, to writing code, unit and end-to-end tests and manage our data models.

You will work both on designing and implementing new features as well as analyzing the system and improve architecture and technical excellence.

What we offer

• Fitness-wellness allowance  🧗‍♂️
• Company mobile phone for private use with 100 GB  📱
• Annual HUF devaluation compensation  💡
• Hybrid model: 3 days in the office 🏢  & 2 days from home  🏠
• Private Health Insurance  🩺
• Career development  📈
• Technical and soft-skill training opportunities 🎓
• Breakfast, fruits & lunch 🍎
• Team building events  🥳

Challenge accepted?

By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

The Sportsbook Area is now hiring! Our world-class Sportsbook is fully developed in-house by our dedicated Sportsbook tech team and growing at a very rapid rate, expanding not only in new markets but also as a B2B product serving and offering a sports betting platform in different regions of the world. Our Product Development organisation is a cross functional one with teams spanning across 5 different Tech Hubs - in Malta, Budapest, Stockholm, Tallinn and Athens.

The Wow

Much like a rollercoaster, life at Betsson Group is fast-paced, full of twists and turns, and always exciting. With more than 2,800 colleagues representing over 75 nationalities across a global network of offices - including 1,500 at our operational headquarters in Malta - every day brings new challenges and opportunities to grow. It may not be for the faint-hearted, but if you thrive on innovation, enjoy pushing boundaries and want to be part of a diverse, international team, then you’ll fit right in at Betsson.

Our sportsbook platform is fully developed and operated in-house – from architecture and engineering to the trading operations. It powers more than 20 brands, delivering a comprehensive sports betting experience to our customers. From the internal tools used by our trading teams to the cutting-edge features that enhance the customer betting journey, our platform is built and maintained by dedicated, high-performing teams.
Our mission is to deliver industry-leading performance, functionality, and user experience within the iGaming space.
As part of our Sportsbook Technology team, you will contribute to a high-performance, high-throughput, and highly available product ecosystem. You will play a key role in ensuring that the team consistently delivers measurable business value while maintaining technical excellence.

A taster of what you will be doing:

• As a Tech Lead you will be part of the Sportsbook B2B & Integrations Value stream, participating in design, POCs and development of complex tasks and also a key person in the team who ensures a high-quality delivery by the developers.
• Work closely with architects within the area to ensure that the architecture direction set is being communicated, aligned & implemented within the teams.
• You will also be aligning with the other tech leads across the product development department to ensure the technical consistency, take ownership of and drive technical excellence initiatives within Sportsbook.
• Identify technical improvements in the applications you are responsible for.
• Validate technical improvements and help Product Managers prioritise such improvements
• Be able to explain the benefits of technical improvements to both technical and non-technical audience.
• You will also participate in development, testing, code reviews, bug fixing, implementing new features as well as maintaining and improving the existing functionality.
• Help build our world class team, thus participating in technical interviews as well as coaching & mentoring engineers.
• Stay up to date with technology, understand the benefits and use cases of a variety of technologies and be strategic in their implementation.

What we are looking for:

• Someone who is passionate about building things, with a strong technical background and an understanding of non-functional requirements.
• Expertise with designing and implementing distributed microservices
• Deep understanding of the latest C# and .NET framework/core.
• Experience deploying scalable back-end solutions using AWS/Azure/GCP.
• Expertise with distributed systems and high-speed database technologies, including SQL (PostgreSQL) and NoSQL (e.g., MongoDB, Redis).
• Familiarity with messaging systems, message queues, and event-driven architecture.
• Knowledge of containerization (e.g., Docker) and orchestration (e.g., Kubernetes).
• Deep understanding of coding best practices.
• You are a team player who readily offers help and shares knowledge with your colleagues.
• You are someone who is pro-active and love to not only to suggest improvements but also drive them.

Reporting

The employee reports to the Engineering Manager.

What we offer

Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1700 strong, spread across 7 offices with 900 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you’ll fit right in.

At Betsson Group we work with a Hybrid Work From Home (WFH) model, giving you the flexibility of working 3 days in the office (Monday, Wednesday, Friday) and 2 days from home.

We offer numerous challenges where your skills will be put to good use! We encourage innovation, independence and celebrate success where you will be part of multi-cultural and diverse company, with people from all over the world.

Challenge accepted?

By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

The Wow

As a Machine Learning Engineer, you will play a pivotal role in designing, developing, and deploying advanced machine learning models that enhance our products and services. You will collaborate with cross-functional teams to solve complex problems and drive the adoption of machine learning solutions across the organization.

A taster of what you will be involved with: 

• Design, implement, and optimize machine learning models to solve complex business problems.
• Oversee the entire machine learning lifecycle, from data collection and pre-processing to model deployment and monitoring.
• Work closely with data scientists, software engineers, and product managers to integrate machine learning models into production systems.
• Stay up-to-date with the latest advancements in machine learning and apply them to improve model performance and functionality.
• Write and maintain high-quality, production-ready code for machine learning models and services.
• Provide guidance and mentorship to junior team members, fostering a culture of continuous learning and improvement.

What we are looking for:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 3-5 years of experience as a Machine Learning Engineer, with a strong track record of deploying models in production environments.
• Proficiency in Python, MLFlow and Spark would be considered an asset.
• Experience with cloud platforms (AWS, GCP, Azure). Experience with AWS Sagemaker would be preferred.
• Strong problem-solving skills and the ability to analyse complex data sets to derive actionable insights.
• Excellent communication skills, with the ability to explain complex concepts to both technical and non-technical stakeholders.

What we offer

• Fitness-wellness allowance  🧗‍♂️
• Company mobile phone for private use with 100 GB  📱
• Annual HUF devaluation compensation  💡
• Hybrid model: 3 days in the office 🏢  & 2 days from home  🏠
• Private Health Insurance  🩺
• Career development  📈
• Technical and soft-skill training opportunities 🎓
• Breakfast, fruits & lunch 🍎
• Team building events  🥳

Challenge accepted?

If you are interested to learn more, please apply with your CV in English.

By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

At Betsson Group, we strive to deliver the best customer experience in the industry. We are one of the market leaders in iGaming, offering online gaming products in a number of markets, both through our own gaming sites as well as several partner brands.

The Wow

Our Product Development organisation spans across 5 locations, with the most creative teams in the industry! If you are passionate about the latest technologies and can handle mission-critical responsibilities, then this is the role for you!

We are operating in a very competitive market therefore we MUST use latest technologies. Our aim is to create the best performance, functionality, and user experience in the iGaming industry!

You will be part of a passionate team, which is building an industry leading, scalable, multi-brand platform to support 40+ online brands! Our brands are used by hundreds of thousands of users and growing.

What's in it for you?

Player Account Management (PAM) Area covers everything related to the management of the player accounts, such as:

• Account creation, verification, updates, and closure
• Account authentication, controls, and security
• User session management
• Responsible Gaming 

A taster of what you will be involved with: 

• Incident & Problem Management: Investigate system incidents, drive Root Cause Analysis (RCAs), and execute long-term remedial fixes. Proactively reduce the number of incidents caused by system changes.
• Observability & Metrics: Define and enforce Service Level Agreements (SLAs), Service Level Objectives (SLOs), and success metrics for new initiatives. Build and maintain comprehensive dashboards to achieve observability excellence.
• Performance & Capacity: Identify and help resolve performance bottlenecks. Optimize infrastructure and code to maintain fast service, and conduct capacity planning to forecast future hardware or cloud resource requirements.
• Availability & Change Management: Guarantee the Platform components remain highly reachable and functional for users. Oversee deployments to ensure new code does not disrupt the existing system.

What we are looking for

• Observability & Monitoring: Deep experience building dashboards and tracking SLAs/SLOs using tools like Prometheus, Grafana, Coralogix, Splunk, or Loki.
• Programming & Automation: Proficiency in scripting and coding to automate manual tasks (eliminate "toil") and build reliability tools. Strong skills in .NET, Python, Powershell or Bash are highly preferred.
• Infrastructure as Code (IaC) & Cloud: Experience provisioning and managing infrastructure using Terraform or Ansible, along with a solid understanding of cloud platforms (AWS, GCP, or Azure).
• Containerization & Orchestration: Hands-on experience scaling and managing distributed systems using Kubernetes (K8s) and Docker.
• CI/CD & Change Management: Familiarity with deployment pipelines (GitLab CI, GitHub Actions, Team City, Octopus) to ensure safe, automated rollouts that don't cause incidents.
• Core Competencies: Strong analytical skills for Root Cause Analysis (RCA), a calm approach to incident response, and the ability to lead blameless post-mortems.
• AWS Cloud infrastructure, CDNs, and other various systems running in multiple data centres and environments
• Cloud Application Load Balancer, preferably with experience on AWS ALB
• Cloud DNS support such as AWS Route 53, GCP Cloud DNS, or Azure DNS
• Experience with Microsoft SQL databases, PostgreSQL, and Couchbase is considered an asset. 

What we offer

Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1700 strong, spread across 7 offices with 900 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you’ll fit right in.

Challenge accepted?

If you are interested to learn more, please apply with your CV in English.

By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

At Betsson Group, we strive to deliver the best customer experience in the industry. We are one of the market leaders in iGaming, offering online gaming products in a number of markets, both through our own gaming sites as well as several partner brands.

The Wow

Our Product Development organisation spans across 5 locations, with the most creative teams in the industry! If you are passionate about the latest technologies and can handle mission-critical responsibilities, then this is the role for you!

We are operating in a very competitive market therefore we MUST use latest technologies. Our aim is to create the best performance, functionality, and user experience in the iGaming industry!

You will be part of a passionate team, which is building an industry leading, scalable, multi-brand platform to support 40+ online brands! Our brands are used by hundreds of thousands of users and growing.

What's in it for you?

Player Account Management (PAM) Area covers everything related to the management of the player accounts, such as:

• Account creation, verification, updates, and closure
• Account authentication, controls, and security
• User session management
• Responsible Gaming 

A taster of what you will be involved with: 

• Incident & Problem Management: Investigate system incidents, drive Root Cause Analysis (RCAs), and execute long-term remedial fixes. Proactively reduce the number of incidents caused by system changes.
• Observability & Metrics: Define and enforce Service Level Agreements (SLAs), Service Level Objectives (SLOs), and success metrics for new initiatives. Build and maintain comprehensive dashboards to achieve observability excellence.
• Performance & Capacity: Identify and help resolve performance bottlenecks. Optimize infrastructure and code to maintain fast service, and conduct capacity planning to forecast future hardware or cloud resource requirements.
• Availability & Change Management: Guarantee the Platform components remain highly reachable and functional for users. Oversee deployments to ensure new code does not disrupt the existing system.

What we are looking for

• Observability & Monitoring: Deep experience building dashboards and tracking SLAs/SLOs using tools like Prometheus, Grafana, Coralogix, Splunk, or Loki.
• Programming & Automation: Proficiency in scripting and coding to automate manual tasks (eliminate "toil") and build reliability tools. Strong skills in .NET, Python, Powershell or Bash are highly preferred.
• Infrastructure as Code (IaC) & Cloud: Experience provisioning and managing infrastructure using Terraform or Ansible, along with a solid understanding of cloud platforms (AWS, GCP, or Azure).
• Containerization & Orchestration: Hands-on experience scaling and managing distributed systems using Kubernetes (K8s) and Docker.
• CI/CD & Change Management: Familiarity with deployment pipelines (GitLab CI, GitHub Actions, Team City, Octopus) to ensure safe, automated rollouts that don't cause incidents.
• Core Competencies: Strong analytical skills for Root Cause Analysis (RCA), a calm approach to incident response, and the ability to lead blameless post-mortems.
• AWS Cloud infrastructure, CDNs, and other various systems running in multiple data centres and environments
• Cloud Application Load Balancer, preferably with experience on AWS ALB
• Cloud DNS support such as AWS Route 53, GCP Cloud DNS, or Azure DNS
• Experience with Microsoft SQL databases, PostgreSQL, and Couchbase is considered an asset. 

What we offer

• Fitness-wellness allowance  🧗‍♂️
• Company mobile phone for private use with 100 GB  📱
• Annual HUF devaluation compensation  💡
• Hybrid model: 3 days in the office 🏢  & 2 days from home  🏠
• Private Health Insurance  🩺
• Career development  📈
• Technical and soft-skill training opportunities 🎓
• Breakfast, fruits & lunch 🍎
• Team building events  🥳

Challenge accepted?

If you are interested to learn more, please apply with your CV in English.

By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

About the role:

ABBYY Vantage is our flagship Document AI platform – a cloud-native, microservices-based product that combines purpose-built AI, OCR, NLP, and direct LLM integration to help enterprise customers extract, classify, and act on data from any document. Vantage 3.0, our latest release, introduces native Azure OpenAI integration, enterprise-grade compliance and redaction, a real-time analytics dashboard, and a growing library of pre-configured AI skills. Over 10,000 customers trust ABBYY – including Fortune 500 companies like DHL, Johnson & Johnson, FDA, PwC, KeyBank, Spotify, and H&R Block – to automate their most complex document workflows.

We are looking for a Staff Software Engineer to serve as a senior technical leader on the Vantage platform. You will drive the design and delivery of complex, cross-cutting capabilities – spanning document AI pipelines, LLM integrations, compliance infrastructure, analytics, and platform extensibility. Beyond your own code, you will act as a technical multiplier: influencing architectural decisions, setting quality standards, and developing the engineers around you. This is a role for someone who leads through depth, judgment, and impact.

Job Responsibilities:

• Technical Leadership: Drive the technical design and delivery of significant Vantage platform capabilities, from architecture and API contracts through deployment, monitoring, and iteration.
• Quality & Standards: Define and uphold engineering standards for the Vantage codebase – covering code quality, service reliability, performance, security, and compliance – and drive their adoption across teams.
• Strategic Collaboration: Act as a senior technical voice in cross-functional planning with product management, ML engineering, cloud architecture, and engineering leadership; translate business priorities into actionable technical roadmaps.
• Platform Improvement: Lead initiatives to improve Vantage platform health at scale: service decomposition, observability, CI/CD maturity, and developer productivity.
• Operational Excellence: Own high-severity incident response for Vantage cloud services; drive post-mortems and systemic reliability improvements.
• Engineering Mentorship: Mentor Senior and Principal Engineers on the Vantage team; build a culture of technical rigor, shared ownership, and continuous learning.
• Technical Innovation: Evaluate and champion adoption of new technologies – from GenAI model integrations to cloud-native tooling – that strengthen ABBYY's Document AI differentiation.

Job Requirements:

• 10–13 years of professional software engineering experience with deep expertise in C# .NET and C++, willing to work with both languages
• Proven experience designing, implementing, and operating CI/CD pipelines for building, testing, and deploying workflows using GitHub Actions and/or Azure DevOps Pipelines
• Strong command of microservices architecture, distributed system design, and cloud-native patterns at enterprise scale
• Demonstrated ability to mentor Senior and Mid-level Engineers and partner with Engineering Managers on technical direction
• Experience leading technical design reviews and influencing architectural decisions across team and product boundaries

Desired Qualifications

• Experience in cloud, preferably using Microsoft Azure (AKS, Storage, Key Vaults, Azure SQL or equivalent)
• Track record of delivering production-grade systems that meet enterprise compliance, security, and reliability standards
• Hands-on experience designing and operating workflow-driven systems (orchestration, retries, timeouts, and state management)
• Experience integrating Machine Learning, Neural Networks or LLMs into enterprise applications and workflows
• Comfort operating across a globally distributed engineering organization spanning multiple regions and cultures

Here are some of our local benefits:

About the role:

ABBYY Vantage is our flagship Document AI platform – a cloud-native, microservices-based product that combines purpose-built AI, OCR, NLP, and direct LLM integration to help enterprise customers extract, classify, and act on data from any document. Vantage 3.0, our latest release, introduces native Azure OpenAI integration, enterprise-grade compliance and redaction, a real-time analytics dashboard, and a growing library of pre-configured AI skills. Over 10,000 customers trust ABBYY – including Fortune 500 companies like DHL, Johnson & Johnson, FDA, PwC, KeyBank, Spotify, and H&R Block – to automate their most complex document workflows.

We are looking for a Senior Software Engineer to join the Vantage engineering team. You will be a hands-on contributor building and evolving the services that power Vantage's document AI capabilities – from OCR pipelines and skill training workflows to API integrations and analytics infrastructure. You bring strong engineering fundamentals, a quality-first mindset, and a drive to deliver reliable, scalable software in a cloud-native environment.

Job Responsibilities:

• End-to-End Development: Design, develop, test, and deploy features and services within the Vantage platform, contributing to areas such as document processing pipelines, AI skill management, cloud infrastructure, and API layers.
• Code Quality: Write clean, maintainable, well-tested code; actively participate in code reviews and champion engineering best practices across your team.
• Cross-Functional Collaboration: Work closely with product managers, UX designers, ML engineers, and fellow software engineers to translate Vantage feature requirements into well-architected solutions.
• Continuous Improvement: Identify and surface improvements to existing Vantage services, tooling, and delivery workflows; contribute to reducing technical debt and increasing engineering velocity.
• System Reliability: Monitor the health and performance of Vantage cloud services; investigate and resolve production incidents in a timely manner.
• Technical Growth: Stay current with advances in Document AI, cloud-native patterns, and GenAI integration approaches that could enhance the Vantage platform.

Job Requirements:

• 5–9 years of professional software engineering experience with deep expertise in C# .NET and C++, willing to work with both languages
• Proven experience designing, implementing, and operating CI/CD pipelines for building, testing, and deploying workflows using GitHub Actions and/or Azure DevOps Pipelines
• Good understanding of microservices architecture, distributed system design, and cloud-native patterns at enterprise scale
• Demonstrated track record of delivering high-quality, testable code
• Strong analytical and debugging skills with the ability to investigate complex issues across distributed systems

Desired Qualifications

• Experience in cloud, preferably using Microsoft Azure (AKS, Storage, Key Vaults, Azure SQL or equivalent)
• Hands-on experience designing and operating workflow-driven systems (orchestration, retries, timeouts, and state management)
• Experience integrating Machine Learning, Neural Networks or LLMs into enterprise applications and workflows
• Familiarity with OCR, NLP and computer vision technologies
• Comfort operating across a globally distributed engineering organization spanning multiple regions and cultures

Here are some of our local benefits:

Position overview:

We’re looking for a Software Engineering Manager who blends technical depth with product intuition — someone who doesn’t just deliver features, but cares deeply about how they work, feel, and perform. 

You’ll lead a cross-functional engineering team modernizing one of the world’s most trusted governance, risk, and compliance platforms as we move forward to the direction of the AI native software development. 

This is not a pure “people manager” or “ticket shepherd” role. We’re looking for someone who: 

• Enjoys getting close to the product, collaborating daily with Product and UX to craft exceptional user experiences. 

• Brings a QA mindset — cares about stability, edge cases, and how things actually behave in users’ hands. 

• Thrives in uncertainty and isn’t afraid to explore new paths or challenge assumptions. 

• Wants to lead by example and elevate the team — technically, culturally, and strategically. 

Key Responsibilities 

• Lead and grow a cross-functional engineering team, combining developers and QA engineers into a high-performing unit with shared accountability for quality and delivery. 

• Collaborate closely with Product Managers and Designers to shape features from ideation to delivery — focusing on usability, performance, and customer value. 

• Raise the engineering bar through thoughtful code reviews, mentoring, and continuous improvement practices. 

• Drive technical direction: influence architecture, cloud strategy, observability, and test automation approaches. 

• Cultivate quality ownership: partner with QA to evolve testing frameworks, increase automation coverage, and make quality everyone’s responsibility. 

• Leverage AI and automation to remove friction from development, testing, and operations — identifying opportunities for intelligent tooling and integration. 

• Champion responsible AI practices, ensuring transparency, explainability, and control in every AI-assisted capability. 

• Foster a culture of curiosity and experimentation — encouraging engineers to prototype, measure, and iterate rapidly. 
• Contribute hands-on when needed (code reviews, architecture discussions, proof-of-concepts) while empowering your team to own their solutions. 

What You’ll Bring 

• 7+ years of professional software engineering experience, including 3+ years in a people management role. 

• A solid technical foundation — comfortable discussing system design, code quality, and architectural trade-offs. 

• A product-focused mindset — you think in terms of user impact and aren’t satisfied until the experience feels right. 

• Strong experience leading teams in agile environments, balancing delivery speed with technical quality. 

• Experience with modern development practices: CI/CD, trunk-based development, infrastructure-as-code, etc. 

• Understanding of QA practices and automation, and an appreciation for testing as a first-class citizen in software development. 

• Familiarity with AI/ML concepts and curiosity about practical applications (you don’t need to be a data scientist, but you should know what’s possible). 

• Excellent communication skills — you can translate between product, design, and engineering worlds effortlessly. 

Preferred Experience 

• Hands-on background in .NET, Angular, Python or Node.js 

• Experience with Cloud (AWS/Azure/GCP), CICD, DevOps, SQL/NoSQL databases 

• Use of AI-assisted developer tools such as Copilot, CodeWhisperer, or automated code review systems. 

• Track record of shipping high-quality, user-centered products. 

• A natural drive to push boundaries, learn fast, and make others better around you. 

#LI-Hybrid

We are currently looking for a well-versed (Senior) Data Engineer to work with our EMEA and US customers and help them solve their data engineering, ML and/or ML Ops, and cloud migration puzzles.

As a Data Engineer, you are expected to deliver (across industries) on some of our most complex projects - individually or by leading small delivery teams. Although we work for the biggest multinational companies where years-long behemoth projects are the norm, our projects are fast-paced, typically 2 to 4 months long. The majority are delivered using Apache Spark/Databricks on AWS/Azure and require you to directly manage the customer relationship, alone or along with a Project Manager. Additionally, at this seniority level, we expect you to compound your impact across the team and the organization - by mentoring more junior engineers, evaluating the quality of their work, and contributing to hiring best-in-class data engineers.

What do we offer?

• Educational benefits: There’s no shortage of learning opportunities at DATAPAO, meaning that you'll get access to Databricks' public and internal courses to learn all the tricks of Distributed Data Processing, MLOps, Apache Spark, Databricks, and Cloud Migration from the best. Additionally, we'll pay for various data & cloud certifications. You'll also get dedicated time for learning during work hours and access to our internal library. 

• Flexible PTO and Working Hours: We’re flexible about your working routine and how many days you take off if it does not conflict with customer success, company goals, and the work you do. 

• Flexible Office: It is up to you which days you spend in the office. However, as a strong community is one of DATAPAO's value propositions, we’d expect you to spend one day per week in the office on average. 

• 30 Calendar Days of Paternity Leave (if applicable): We think it’s essential for both parents to be there when it matters the most. 

• Private Medical Insurance: We provide a private medical package via Generali. 

• Employee Assistance Program (EAP): Through EAP, we offer our employees access to psychological, financial, and legal consulting services via phone or in person.

• Top-notch working equipment: Working comfortably means working well. Therefore, you will get a MacBook, a Herman Miller office chair, standing desks in the office, and whatever else is needed to give your best.

• The chance to make an impact in a high-transparency culture: Open feedback and a no-politics environment are things we value a lot at DATAPAO. Additionally, you'll get the chance to shape the future of a rapidly growing tech company, to work with cutting-edge technologies, and to help some of the biggest and most innovative companies in the world sort out their data puzzles.

• A cozy and modern office in the heart of Budapest: Located in a vibrant, central part of the city (Opera/Oktogon), it's designed to foster focus, creativity, and team connection. You'll find open spaces for group work, quiet corners for deep thinking, and plenty of natural light. It’s well-stocked with snacks, drinks, coffee, and beverages. Optional Friday evening beers, movie, and wine-tasting nights with the team are also on us.

The gross salary for this position ranges from gr. 1.200.000 - 1.700.000 HUF/month for a Medior and from gr. 1.700.000 - 2.300.000 HUF/month for a Senior role, depending on your assessed seniority level during the selection process.

Position Overview:  

As a Staff Software Engineer at Diligent, you’ll create robust, scalable, and secure microservices that power our SaaS platform for governance. You’ll leverage AWS (serverless or migrations) with TypeScript, own services end-to-end (code, deployment, monitoring), drive architecture discussions, and regularly demo to the department. A critical part of this role is shaping our AI strategy: you’ll lead design decisions, embed AI responsibly into systems, and mentor teams on AI capabilities, safety, and governance. 

Key Responsibilities: 

• Champion the design and delivery of secure, high-performance microservices on AWS, driving architecture decisions and empowering team members through mentorship.
• Set technical direction across multiple teams, spotting system pain points and proposing improvements.
• Pioneer AI-driven solutions by advising on model capabilities, crafting effective prompt strategies, and embedding governance and monitoring into development workflows.
• Partner with Product, Security, and DevOps to shape technical roadmaps, ensure compliance, and seamlessly integrate AI features that deliver real business value.
• Continuously elevate our toolkit by evaluating and piloting cutting-edge technologies (including AI toolchains), optimizing for performance, cost efficiency, and developer productivity.
• Own projects end-to-end—from ideation and prototyping to deployment, monitoring, and iteration—ensuring resilient, maintainable systems and top-notch code quality.
• Mentor engineers in best practices and AI-augmented workflows, fostering a culture of experimentation, learning, and ethical AI adoption.
• Stay ahead of emerging AI trends and regulations, proactively adapting designs and practices to meet evolving standards and steer future innovation. 

Required Experience/Skills  

• 7–10 years delivering secure, scalable applications in agile environments.
• Understanding of model architectures (e.g., transformer vs. retrieval-augmented), bias and safety concerns, prompt engineering, and proven experience shaping AI strategy and mentoring teams on responsible AI use. Ability to architect AI systems with embedded monitoring and governance.
• Design and review scalable, high-performance system architectures, APIs, and data models, while writing high-quality, testable code in Node.js, React, and TypeScript/JavaScript, including reusable libraries and frameworks.
• Lead end-to-end DevOps and platform engineering, including CI/CD pipeline design with strong guardrails, infrastructure-as-code and modern deployment strategies, cloud observability and incident response, and cost-aware architecture and capacity planning across AWS, Azure, and GCP
• Integrates security best practices (IAM, secrets management) into all work, including AI components, and embeds bias/privacy checks in delivery pipelines.
• Strong communication of technical and AI-related concepts to diverse stakeholders; proven ability to lead projects, influence engineering culture, and mentor peers in AI-augmented workflows.
• Degree in Computer Science, Engineering, Mathematics, or equivalent experience.