Let's start with the role

As a Product Owner and part of an Agile development team at Kaizen Gaming, you will drive the vision and development of products by using agile best practices in order to maximize the business value of the team's deliverables.

• Drive one Scrum team as the Product Owner;
• Provide vision and direction to the Agile development team throughout the project;
• Create requirements in the forms of epics and stories;
• Manage the backlog and iteration planning process;
• Lead the planning product release plans and set the expectations for the delivery of new functionalities;
• Mitigate impediments impacting the release/sprint goals;
• Support the team and organization by using agile / scrum best practices and promote agile values;
• Partner with product management and business stakeholders to create and maintain a product backlog according to business value or ROI;
• Explore the market to identify opportunities and represent the voice of the customer to the team.

What you'll bring

Our ideal future co-worker has a strong sense of ownership, takes pride in developing our products and cannot find rest until every customer has a great user experience. We expect you to have:

• At least 4 years of working experience as a Product Owner in a technological environment;
• Solid agile experience;
• Proven ability to define a set of requirements that pinpoint business challenges and identify technical and business changes required to address them;
• Ability to communicate clearly and concisely across technology and business teams;
• Familiarity with online sports betting and casino products is an asset;
• Good understanding of technology, programming languages and software architecture is considered a plus.

Kaizen Gaming Perks

• 🕑 Hybrid way of working & remote options
• 🏃 A buddy will support you with your onboarding
• 💸 Competitive pay and bonus scheme
• 👩‍⚕️ Private health insurance for you and your family
• 💰 Monthly meal allowance 
• ⭐Developmental 360° feedback framework
• 📚 Unlimited access to Udemy & continuous training

#LI-Hybrid

Let's start with the role

At Kaizen, our aim is to make data driven decisions in order to automate our servicers while also focusing on offering tailored customer experiences. Our machine learning team is dedicated towards this mission by building a variety of models, from binary classification tasks up to recommendation systems. We focus on transforming business needs into production applications and we cover a wide range of business sectors utilizing different data types and handling a broad project diversity. 

Our teams comprise of three different roles, data scientists, machine learning engineer and data engineers so that they include the full skillset to deliver projects to production.

We are currently looking for data scientists in all levels to join our teams. The role should combine strong knowledge of machine learning algorithms, analytical skills, experimental design etc. to support the model development process.

• Translate business requirements to machine learning problems;
• Perform EDA and feature engineering;
• Run comparative experiments for model training;
• Implement best practices on model selection, parameter tuning etc.

What you’ll bring

• A background in Computer Science, Statistics, Math or related field;
• Strong knowledge of machine learning algorithm and respective theory;
• 2-8 years of hands-on experience in delivering machine learning models to production;
• Knowledge of the Python machine learning ecosystem;
• Experience with Spark (PySpark);
• Solid software background in OOP;
• Strong skills in teamwork, communication, and analytical thinking;
• Fluency in English, both oral and written.

Nice to have

• Experience with Azure / Databricks;
• Knowledge of Deep learning;
• Experience in recommendation systems.

#Artificial Intelligence (AI) #Machine Learning (ML) #Data Science (DS)

Kaizen Gaming Perks

• 🕑 Hybrid way of working
• 🏃 A buddy will support you with your onboarding
• 💸 Competitive pay & bonus scheme
• ⭐Developmental 360° feedback framework
• 💰 Monthly meal allowance
• 👩‍⚕️ Private health insurance for you and your family
• 📚 Unlimited access to Udemy & continuous training
• 👨‍👩‍👧‍👦 Family Support.
• #LI-Remote
• #LI-PROMOTE

Let's start with the role

At Kaizen, we aim to leverage the capabilities offered by modern AI algorithms to continuously improve our product and business. Kaizen’s AI department consists of product, platform and research teams and lies at the core of that mission. We develop AI products for various applications, ranging from detection of fraudulent activity to personalized gaming recommendations, and from AI-powered co-pilots to CRM optimizations. 

We build our teams to be self-driven, autonomous and cross-functional. Within these teams, you will have the opportunity to work with Data Scientists, Machine Learning Engineers, Data Engineers, Data Analysts, Product Owners and Agile Delivery Leads.

As a Machine Learning Software Engineer, you will focus on delivering robust and scalable Machine Learning pipelines and you will support the operationalization of Machine Learning models. 

• Design, develop and maintain scalable model training and inference pipelines in a distributed production environment;
• Design, develop and maintain microservices in Python that host and serve ML models on production;
• Design, develop and maintain internal tools that enable CI/CD/CT, performant feature engineering, experiment tracking, data and model versioning.

What you’ll bring

• Ηands-on experience in software development using Python on a production environment;
• Good understanding of:
• Software system design; 
• The ML project lifecycle;
• MLOps concepts and tools such as MLflow or Kubeflow;
• ML algorithms and models.
• Experience with cloud providers like Microsoft Azure or AWS;
• Experience with PySpark and Databricks.

Kaizen Gaming Perks

• 🕑 Hybrid model of working
• 🏃 A buddy will support you with your onboarding
• 💸 Competitive salary package and bonus scheme
• 👩‍⚕️ Health and life insurance for you and your family
• 💰 Monthly meal allowance 
• ⭐ Developmental 360° feedback framework
• 📚 Unlimited access to Udemy & continuous training
• 🚗 Commuting allowance
• 👨‍👩‍👧‍👦 Family Support
• #LI-Remote

Let's start with the role

As a Senior Data Scientist, you will be at the forefront of our AI developments,  analyzing data, building machine learning models to support our AI products and working along with the rest of the tech team to create successful AI products. The ideal candidate will have a deep understanding of machine learning algorithms and proven extensive experience in building  ML/AI powered applications in production.

As a Senior Data Scientist you will:

• Translate product requirements to machine learning problems and  identifying areas where AI can have the most business impact;
• Analyze data to identify significant patterns and generate actionable insights;
• Perform exploratory data analysis EDA and feature engineering to support the modeling process;
• Apply best practices on model selection, parameter tuning etc.;
• Run comparative experiments for model training;
• Analyze ML metrics to evaluate different potential solutions;
• Manage the full lifecycle of AI features, from data collection to model design and to implementation and optimization in production environments;
• Mentor and guide junior members, sharing knowledge and leading complex projects. 

What you’ll bring:

Must have:

• Expert knowledge of machine learning algorithm and respective theory;
• Extensive hands-on experience in delivering machine learning models to production;
• Experience in developing MLOps solutions;
• Knowledge of the Python machine learning ecosystem and solid software background in OOP;
• Knowledge of Deep learning;
• Strong skills in teamwork, communication, and analytical thinking;
• Fluency in English, both oral and written.

Nice to have:

• Experience with Big Data tools (Spark/PySpark) and cloud environment, ideally Azure / Databricks;
• Experience in recommendation systems;
• Experience in GenAI application development;
• Relevant industry experience i.e. Fraud detection, CRM, Sportsbook etc.

Kaizen Gaming Perks

• 🕑 Hybrid way of working & remote options
• 🏃 A buddy will support you with your onboarding
• 💸 Competitive pay and bonus scheme
• 👩‍⚕️ Private health insurance for you and your family
• 💰 Monthly meal allowance 
• ⭐Developmental 360° feedback framework
• 📚 Unlimited access to Udemy & continuous training

#LI-Remote

Let’s start with the role

• Design, build and maintain efficient, reusable and reliable code;
• Develop interfaces between components of heterogeneous subsystems running in a high-volume transaction-oriented production environment;
• Ensure the best possible performance, quality, and responsiveness of applications;
• Identify bottlenecks and bugs, and devise solutions to complex problems.

Tech stack

Most of our sites and services are written in C# / ASP.NET. Newer services are written in .NET Core. New applications use vue.js in the front-end while older ones use server-rendered (Razor) views in combination with jQuery & Knockout.js. MS SQL server is used for most of our storage needs, but also uses Redis and ElasticSearch when it makes sense to do so. RabbitMQ is our go-to message broker. We use Gitlab for code versioning and CI, and the Atlassian stack for tickets and documentation.

What you’ll bring

• At least 1 year of development experience using C# / ASP.NET / MVC (full framework or .NET Core);
• Basic understanding of basic web technologies, such as HTTP, etc.;
• Experience with data access (databases / APIs);
•  Exposure to unit testing is a plus.

Kaizen Gaming Perks

• 🕑 Hybrid model of working; 
• 🏃 A buddy will support you with your onboarding;
• 💸 Competitive salary package and bonus scheme;
• 👩‍⚕️ Health and life insurance for you and your family;
• 💰 Monthly meal allowance 
• ⭐Developmental 360° feedback framework;
• 📚 Unlimited access to Udemy & continuous training

#LI-Remote
#LI-Hybrid

Let's start with the role

As a GenAI Senior Data Scientist, you will be at the forefront of our AI developments,  analyzing data, building Gen AI powered applications and/or agentic architectures. You will be responsible for selecting the right LLMs, performing prompt engineering and model fine-tuning to support our AI products. You will collaborate closely with cross-functional tech teams to deliver impactful, production-grade AI solutions. The ideal candidate has a deep understanding of LLMs and agentic architectures, along with proven experience building and deploying such applications in production environments.

As a GenAI Senior Data Scientist you will:

• Translate product requirements to AI problems and identify areas where AI can drive the most business impact;
• Analyze data to uncover significant patterns and generate actionable insights;
• Architect agentic and GenAI systems;
• Select appropriate models for the right tasks and tune their performance;
• Perform exploratory data analysis (EDA and feature engineering to support the modeling process;
• Apply best practices on model selection, parameter tuning etc.;
• Run comparative experiments for model training;
• Analyze ML metrics to evaluate different potential solutions;
• Manage the full lifecycle of AI features, from data collection to model design and to implementation and optimization in production;
• Mentor and guide junior members, sharing knowledge and leading complex projects. 

What you’ll bring:

Must have:

• Hands on experience with GenAI and Agentic applications;
• Extensive hands-on experience in delivering AI driven products to production;
• Experience in scaling and optimisation of AI applications;
• Knowledge of machine learning algorithm and respective theory;
• Knowledge of the Python machine learning ecosystem and solid software background in OOP;
• Strong skills in teamwork, communication, and analytical thinking;
• Fluency in English, both oral and written.

Nice to have:

• Experience with Big Data tools  (Spark/PySpark) and cloud environment, ideally Azure / Databricks;
• Previous experience in LLM fineturing;
• Previous experience with LLM serving;
• Knowledge of Deep learning. 

Kaizen Gaming Perks

• 🕑 Hybrid way of working
• 🏃 A buddy will support you with your onboarding
• 💸 Competitive pay & bonus scheme
• ⭐Developmental 360° feedback framework
• 💰 Monthly meal allowance
• 👩‍⚕️ Private health insurance for you and your family
• 📚 Unlimited access to Udemy & continuous training
• 👨‍👩‍👧‍👦 Family Support.
• #LI-Hybrid
• #LI-ap1

Let's start with the role

At Kaizen, we strive to harness the power of modern AI algorithms to continuously improve our product and business. Kaizen’s AI department consists of product, platform and research teams and lies at the core of that mission. We develop AI products for various applications, ranging from detection of fraudulent activity to personalized gaming recommendations and from AI-powered co-pilots to CRM optimizations. 

We structure our teams to be self-driven, autonomous, and cross-functional. Within these teams, you will have the opportunity to work with Data Scientists, Machine Learning Engineers, Data Engineers, Data Analysts, Product Owners and Agile Delivery Leads.

As a Senior Machine Learning Engineer, you will focus on delivering robust and scalable Machine Learning pipelines and you will support the operationalization of Machine Learning models. Here's what's up for you:

• Collaborate closely with data scientists in order to deliver production-ready model training pipelines;
• Design scalable solutions in a distributed environment;
• Design scalable inference pipelines and architectures;
• Implement model diagnostics such as evaluation, monitoring flows etc.;
• Automate model deployment, enable REST API model endpoints;
• Develop scalable model serving flows;
• Work on cluster optimization and scalability;
• Develop and maintain internal tools and libraries;
• Write CI/CD/CT pipelines.

What you’ll bring:

• Extensive experience in software development using Python in large scale, high-performance production environment;
• Significant hands-on experience in designing ML software systems;
• Significant experience with cloud environments like Microsoft Azure or AWS;
• Hands-on experience with Spark and PySpark;
• Excellent problem solving and communication skills
• Good understanding of:

• • Software system design; 
  • The ML project lifecycle;
  • MLOps concepts and tools such as MLflow or Kubeflow;
  • ML algorithms and models.

Kaizen Gaming Perks

• 🕑 Hybrid model of working
• 🏃 A buddy will support you with your onboarding
• 💸 Competitive salary package and bonus scheme
• 👩‍⚕️ Health and life insurance for you and your family
• 💰 Monthly meal allowance 
• ⭐ Developmental 360° feedback framework
• 📚 Unlimited access to Udemy & continuous training
• 🚗 Commuting allowance
• 👨‍👩‍👧‍👦 Family Support
• #LI-Remote

Lets start with the role:

• Create new solutions and see them through, from conception to production;
• Turn requirements into simple and sophisticated technological systems. Our large scale, highly available infrastructure is at the core of that challenge;
• Design, build, and maintain efficient, reusable, and reliable code;
• Research new technologies to find new and efficient ways to solve day to day challenges;
• Ship high-value features quickly;
• Challenge the status quo and improve the team and product.

Most of our sites and services are written in C# / ASP.NET and new services are written in .NET Core. New applications use vue.js in the front-end while older ones use server-rendered (Razor) views in combination with jQuery & Knockout.js. MS SQL Server is used for most of our storage needs, but also uses Redis and ElasticSearch when it makes sense to do so. RabbitMQ is our go-to message broker. We use Gitlab for code versioning and CI, and the Atlassian stack for tickets and documentation.

What you’ll bring:

• At least 4 years of experience developing production-level software using Microsoft .NET (full framework or .NET Core);
• Proficient in C# and MVC;
• Good understanding of basic web technologies, such as HTTP, REST, etc.;
• Practical understanding of algorithms and design patterns;
• Passionate about delivering high-quality code;
• Fluent in English, both oral and written.

Kaizen Gaming Perks

• 🕑 Hybrid model of working
• 🏃 A buddy will support you with your onboarding
• 💸 Competitive salary package and bonus scheme
• 👩‍⚕️ Health and life insurance for you and your family
• 💰 Monthly meal allowance 
• ⭐Developmental 360° feedback framework
• 📚 Unlimited access to Udemy & continuous training
• 👨‍👩‍👧‍👦 Family Support
• #LI-Remote

Let's start with the role

You will join an autonomous Agile team and work closely with the Product Owner, Agile Delivery Lead, Automation Testers, and other Software Engineers to create a competitive advantage for Kaizen and offer a unique online experience to our customers. Besides being part of the Agile team, you will work closely talented backend professional within the Backend Chapter.

Senior Software engineers in Kaizen are responsible for a multitude of projects, from our customer-facing websites and mobile applications to our admin and internal tools and backend services, most of them withstanding high volume / traffic.

• Assume full responsibility for our applications on an engaging development journey.
• Create new solutions and see them through, from conception to production;
• Turn requirements into simple and sophisticated technological systems. Our large scale, highly available infrastructure is at the core of that challenge;
• Play a central role on Design, build, and maintain efficient, reusable, and reliable code;
• Research new technologies to find new and efficient ways to solve day to day challenges;
• Ship high-value features quickly;
• Challenge the status quo and improve the team and product;

Most of our sites and services are written in in C# / ASP.NET and new services are written in .NET Core. New applications use vue.js or Angular in the front-end while older ones use server-rendered (Razor) views in combination with jQuery. Microsoft Orleans enables our scalable and robust distributed applications. MS SQL Server is used for most of our storage needs, but also Redis and ElasticSearch are used when it makes sense to do so. RabbitMQ is our go-to message broker. We use Gitlab for code versioning and CI, and the Atlassian stack for tickets and documentation.

What you'll bring

• At least 6+ years of experience developing production-level software using .NET Core;
• Proficient in C# and MVC;
• Experience with Testing/Metrics Monitoring/Logging on a large scale distributed system;
• Experience with Microservices architecture;
• Experience with asynchronous flows using message brokers;
• Good understanding of basic web technologies, such as HTTP, REST, etc.;
• Practical knowledge of algorithms and design patterns;
• Passionate about delivering high-quality code;
• Fluent in English, both oral and written.

Nice to have:

• Expertise in concurrency, multi-threading, and event-driven architecture;

Kaizen Gaming Perks

• 🕑 Hybrid way of working
• 🏃 A buddy will support you with your onboarding
• 💸 Competitive pay & bonus scheme
• 👩‍⚕️ Private health insurance for you and your family
• 💰 Monthly meal allowance 
• ⭐Developmental 360° feedback framework
• 📚 Unlimited access to Udemy & continuous training

#LI-Hybrid

#LI-Remote

Let's start with the role

As a Principal Data Scientist, you will play a critical role in leveraging data and AI to deliver value and create a competitive advantage for the organization. The ideal candidate will be a tenured Data Scientist, ML or AI engineer that has a proven track record of designing and implementing cutting-edge, data-intensive and AI-empowered applications along with the corresponding ML/DL algorithms.

As a Principal Data Scientist your main responsibilities will be

• Architecture: Architect scalable, reliable and high-performance AI applications along with their corresponding ML/DL algorithms.
• Innovation: Tech-lead the AI tribe in order to deliver state-of-the-art AI models in production.
• Mentorship: Inspire and mentor fellow data scientists, fostering technical and soft skill growth.
• Pioneering: Stay ahead of the AI curve, applying emerging technologies to enhance our capabilities and disrupt the industry. 
• Strategic Planning & Prioritization: Define the company-wide AI technical and product roadmap, in-line with the business product roadmap. Resist the AI hype and enable impact-driven prioritization with quick and impactful PoCs that demonstrate the value.
• Autonomy & end-to-end Ownership: From ideation all the way to operationalization and maintenance, demonstrate autonomy on high-complexity projects and ownership of the outcome.

What you’ll bring

• 8+ years of hands-on experience leveraging large-scale data to build ML/DL models with Python
• PhD-level expertise in one or more of the following domains: Recommendation Systems, Natural Language Processing, Computer Vision, Speech and Audio, Time-series, Reinforcement Learning, Graph Learning
• A deep understanding of the ML development lifecycle and how to optimize the trade-offs in each step. 
• Proven track record of designing, implementing, optimizing and scaling performant AI-empowered applications. Solid experience with MLOps practices in order to operationalize and maintain those applications in production.
• Excellent communication and collaboration skills targeting a diverse audience from stakeholders to cross-functional technical teams, in order to provide technical guidance and insight.

• Expertise in genAI or agentic AI. Hands-on experience in prompt design, optimization, testing and evaluation for different types of foundational models.
• Familiarity with a wide range of big data technologies, such as Apache Spark, Delta Lake, Apache Kafka, Apache Flink and NoSQL databases.

We're looking for an AI expert who wants to be at the forefront of innovation in the iGaming industry. Join us in shaping the future of iGaming with breathtaking experiences that thrill and delight players around the world.

Kaizen Gaming Perks

• 🕑 Hybrid model of working; 
• 🏃 A buddy will support you with your onboarding;
• 💸 Competitive salary package and bonus scheme;
• 👩‍⚕️ Health and life insurance for you and your family;
• 💰 Monthly meal allowance 
• ⭐ Developmental 360° feedback framework;
• 📚 Unlimited access to Udemy & continuous training
• 👨‍👩‍👧‍👦 Family Support.
• #Li-Remote

Let's start with the role

As a Software Engineering Team Lead, you will play a crucial role in leading and guiding a team of software engineers in the development and delivery of high-quality software products. You will be responsible for overseeing project execution, mentoring team members, and ensuring that engineering best practices are followed. This role combines technical expertise with leadership and communication skills to drive the success of the team and the organization.

Tech Stack: .NET Core, C#, Microservices, REST API, RabbitMQ, MS SQL Server, OpenShift.

• Team Leadership: Lead, mentor, and inspire a team of software engineers, fostering a collaborative and high-performance work environment.
• Project Management: Manage project timelines, priorities, and resources to ensure on-time and on-budget delivery of software solutions.
• Technical Guidance: Provide technical guidance, expertise, and code reviews to ensure software quality and adherence to best practices.
• Architecture and Design: Contribute to the architectural decisions and design of software systems, considering scalability, performance, and maintainability.
• Collaboration: Collaborate with cross-functional teams, including product managers, designers, and QA, to ensure alignment on project goals and requirements.
• Problem Solving: Assist in complex problem-solving and troubleshooting as needed, offering guidance and expertise to the team.
• Process Improvement: Continuously evaluate and improve development processes, tools, and methodologies to enhance team productivity.
• Mentoring: Mentor and train team members, promoting skill development and career growth.
• Code Quality: Ensure code quality, maintainability, and documentation by setting and enforcing coding standards.
• Risk Management: Identify and mitigate project risks, proactively addressing challenges and bottlenecks.

What you’ll bring: 

• Proven experience as a software engineer with a strong track record of successful software development projects.
• Strong technical expertise in one or more programming languages and technologies relevant to the team's focus like  .NET or equivalent, Microservices and Sync and Async communication
• Leadership and project management experience, with the ability to guide and motivate a team.
• Excellent problem-solving and communication skills.
• Familiarity with software development best practices, including Agile methodologies.
• Strong organizational skills and the ability to manage multiple projects simultaneously.
• Knowledge of software design patterns, architecture, and system scalability.
• Experience with version control systems and project management tools.

Kaizen Gaming Perks

• 🕑 Hybrid model of working
• 🏃 A buddy will support you with your onboarding
• 💸 Competitive salary package and bonus scheme
• 👩‍⚕️ Health and life insurance for you and your family
• 💰 Monthly meal allowance 
• ⭐Developmental 360° feedback framework
• 📚 Unlimited access to Udemy & continuous training
• 👨‍👩‍👧‍👦 Family Support
• #LI-Remote
• #LI-Hybrid

Let's start with the role

As the team lead of an AI product team you will lead and guide the team's efforts in delivering high impact AI products. You will be at the core of AI developments, analyzing data, building machine learning models, collaborating with the tech team to create successful AI products. 

The ideal candidate will combine a deep understanding of machine learning algorithms and proven extensive experience in building  ML/AI powered applications in production along with previous experience of leading and managing AI teams.

As a Data Science Team Lead, you will:

• Manage a team of 5 to 7 skilled data scientists and machine learning engineers. 
• Translate product requirements to machine learning problems and identifying areas where AI can have the most business impact;
• Analyze data to identify significant patterns and generate insights;
• Perform exploratory data analysis (EDA) and feature engineering to support the modeling process;
• Implement best practices on model selection, parameter tuning and optimization.
• Run comparative experiments for model training;
• Analyze ML metrics to evaluate different potential solutions;
• Manage the full lifecycle of AI features, from data collection to model design and to implementation and optimization in production environments;
• Mentor and share knowledge with more junior members and guide the team through complex projects. 

What you’ll bring

• Previous experience as a people manager;
• Expert knowledge of machine learning algorithm and their theoretical foundations;
• Extensive hands-on experience in delivering machine learning models to production;
• Experience in developing MLOps solutions;
• Knowledge of Deep learning;
• Proficiency in Python’s machine learning ecosystem and solid software engineering skills (OOP);
• Strong skills in teamwork, communication, and analytical thinking;
• Fluency in English, both oral and written.

• Experience with Big Data tools  (Spark/PySpark) and cloud environment, ideally Azure / Databricks;
• Previous experience in pricing optimisation;
• Previous experience in forecasting;
• Previous experience in the betting industry.

Kaizen Gaming Perks

• 🕑 Hybrid way of working
• 🏃 A buddy will support you with your onboarding
• 💸 Competitive pay & bonus scheme
• ⭐Developmental 360° feedback framework
• 💰 Monthly meal allowance
• 👩‍⚕️ Private health insurance for you and your family
• 📚 Unlimited access to Udemy & continuous training
• 👨‍👩‍👧‍👦 Family Support
• #LI-HYBRID
• #LI-AP

Let's start with the role

We are looking for a Database Administrator to join our team. In this role, you will be responsible for maintaining, troubleshooting, and optimizing our MS SQL Server environments, with a strong focus on availability, security, and performance. You will play a key role in ensuring the continuous operation of our databases, particularly in complex, high-availability scenarios such as Availability Groups. In addition, you will apply your knowledge of alternative database engines, such as MongoDB and CockroachDB, along with your expertise in cloud-based database administration.

• Provide comprehensive day-to-day support, monitoring, troubleshooting, and administration for multiple MS SQL databases, with a particular focus on high-availability configurations like Availability Groups.
• Diagnose and resolve complex performance and availability issues, performing in-depth root cause analysis to prevent future occurrences.
• Oversee database maintenance processes, including performance tuning, index management, and job automation, ensuring optimal operation.
• Develop and enforce backup and recovery policies, ensuring database resilience and disaster recovery readiness.
• Apply security patches, conduct version upgrades, and enforce strict compliance with database security best practices.
• Handle support calls and resolve technical issues promptly, including responses to security incidents and operational challenges.
• Leverage expertise in alternative database engines like MongoDB and CockroachDB to contribute to cross-functional database projects.
• Manage and optimize cloud-based database environments, ensuring scalability, performance, and reliability in cloud infrastructure.

What You'll Bring

• Solid, hands-on experience in MS SQL Server database administration in production environments.
• Extensive experience with MS SQL Server database features, including Jobs Scheduling, Monitoring, Patching, Backup/Recovery, Replication, Availability Groups, and Always On configurations.
• Good knowledge of memory tables and table partitioning
• Proven expertise in diagnosing and resolving performance bottlenecks and availability issues.
• Good understanding of alternative database engines like PostgreSQL, MongoDB, and CockroachDB, with practical experience in administration and troubleshooting.
• Good knowledge of cloud database administration, with experience on platforms such as Azure.
• Practical experience with Git version control / GitLab. 
• Fluency in English, both written and spoken, with excellent communication skills.
• Strong teamwork, analytical thinking, and problem-solving abilities, combined with a proactive approach to continuous learning.

Kaizen Gaming Perks

• 🕑 Hybrid way of working
• 🏃 A buddy will support you with your onboarding
• 💸 Competitive pay & bonus scheme
• ⭐Developmental 360° feedback framework
• 💰 Monthly meal allowance
• 👩‍⚕️ Private health insurance for you and your family
• 📚 Unlimited access to Udemy & continuous training
• 👨‍👩‍👧‍👦 Family Support.