AppReal

On behalf with our customer we are seeking for DataOps Team Lead to join our global R&D department.

Our customer is an innovative technology company led by data scientists and engineers devoted to mobile app growth. They focus on solving the key challenge of growth for mobile apps by building Machine Learning and Big Data-driven technology that can both accurately predict what apps a user will like and connect them in a compelling way. 

We are looking for a data centric quality driven team leader focusing on data process observability. The person is passionate about building high-quality data products and processes as well as supporting production data processes and ad-hoc data requests. 

As a Data OPS TL, you will be in charge of the quality of service as well as quality of the data and knowledge platform for all data processes. You’ll be coordinating with stakeholders and play a major role in driving the business by promoting the quality and stability of the data performance and lifecycle and giving the Operational groups immediate abilities to affect the daily business outcomes.

Responsibilities:

• Process monitoring - managing and monitoring the daily data processes; troubleshooting server and process issues, escalating bugs and documenting data issues.
• Ad-hoc operation configuration changes - Be the extension of the operation side into the data process; Using Airflow and python scripting alongside SQL to extract specific client relevant data points and calibrate certain aspects of the process.
• Data quality automation - Creating and maintaining data quality tests and validations using python code and testing frameworks.

• Metadata store ownership - Creating and maintaining the metadata store; Managing the metadata system which holds meta data of tables, columns, calculations and lineage. Participating in the design and development of the knowledge base metastore and UX. In order to be the pivotal point of contact when needing information on tables, columns and how they are connected. I.e., What is the data source? What is it used for? Why are we calculating this field in this manner?

   

Requirements:

• Over 2 years in a leadership role within a data team.
• Over 3 years of hands-on experience as a Data Engineer, with strong proficiency in Python and Airflow.
• Solid background in working with both SQL and NoSQL databases and data warehouses, including but not limited to MySQL, Presto, Athena, Couchbase, MemSQL, and MongoDB.
• Bachelor’s degree or higher in Computer Science, Mathematics, Physics, Engineering, Statistics, or a related technical discipline.
• Highly organized with a proactive mindset.

• Strong service orientation and a collaborative approach to problem-solving.

   

Nice to have skills:

• Previous experience as a NOC or DevOps engineer is a plus.

• Familiarity with PySpark is considered an advantage.

   

What we can offer you

• Remote work from Poland, flexible working schedule
• Accounting support & consultation
• Opportunities for learning and developing on the project
• 20 working days of annual vacation
• 5 days paid sick leaves/days off; state holidays
• Provide working equipment

On behalf of our customer we are seeking for a Senior Software Engineer. You will play a pivotal role in shaping the foundation of the security platform.
 

Our customer is a unified AI security platform that covers the entire lifecycle of artificial intelligence systems — from development to production deployment.
 

Your responsibilities:

• Take ownership of building our platform from the ground up, from architecture to deployment.
• Collaborate with the R&D team to architect, design, and develop the Pillar platform.
• Refine product features based on user feedback and ensure technical requirements align with user needs.
• Contribute to full-stack development, working across both front-end and back-end systems.
• Innovate and solve cybersecurity challenges with a talented team of engineers.
• Establish and promote our R&D culture and best practices.
   

Qualifications:

• 6+ years of Software Engineering Experience
• Hands-on experience building production grade SAAS systems
• Experience with Python - must, TypeScript - advantage. React and Node.js is an advantage
• Working experience with Postgres or other relational databases, experience with data modeling
• A strong passion for the LLM space and AI engineering, with a focus on contributing to the development and evolution of AI-driven security solutions
• Familiarity with AWS services (e.g., EKS, ECR) is a plus
• Deep understanding of cloud architecture and modern system design principles, experience working with k8s is an advantage
• Strong ability to take ownership and manage tasks autonomously, ensuring accountability for features from start to finish
   

What we can offer you:

• Remote work from Ukraine or Poland or other EU countries
• Accounting support & consultation
• Opportunities for learning and developing on the project
• 20 working days of annual vacation
• 5 days paid sick leaves/days off; state holidays
• Provide working equipment

On behalf of our customer we're​ ​looking for a​ ​rockstar QA Engineer to join our great team!

Customer is a fast-growing mobile gaming platform that develops and provides mobile gaming apps to millions of users around the world.

Responsibilities

• Guarantee that millions of players worldwide enjoy a clean and bug-free gaming experience across all platforms.
• Execute test cycles under various platforms (iOS, Android, Web, Back Office Systems, Azure, AWS).
• Identify, report, and verify bugs during the app testing stages.
• Utilize STD and STP techniques for organized and effective testing.
• Document bugs clearly and thoroughly to enable developers to recreate and resolve issues.
• Run and manage test cycles, ensuring comprehensive coverage.
• Perform live operations testing to validate performance and stability in production environments.
• Ensure new features and updates work seamlessly post-release.
• Create, execute, and update test cases for new features, ensuring they meet functional and non-functional requirements.

• Act as the team’s Subject Matter Expert and support knowledge sharing across the department.

   

Requirements

• 5+ years of experience in Mobile Manual QA.
• Comprehensive QA Expertise: Deep understanding of the software development lifecycle, QA methodologies, and best practices.
• Technical Proficiency: Hands-on experience with Backend and frontend testing, Cloud environments, Python (an advantage), and QA management tools (e.g., Jira).
• Complex Systems: Experience testing multi-disciplinary systems that involve networking and different mobile devices.
• Previous experience testing mobile games - an advantage.
• Understanding of testing workflows, including test case creation, execution, and reporting, tailored to mobile gaming platforms.
• Strong analytical skills.
• A sharp eye for detail and a relentless drive to find and document critical bugs that could affect the user experience.
• A natural enthusiasm for gaming to understand the player’s perspective and contribute to improving the overall experience.
• Completed a recognized QA course or certification program - a must (Or a Bachelor's degree in Computer Science, Engineering, or a comparable field of study).
• Strong Communication skills - Excellent written and verbal English.
   

What we can offer

• Remote work with flexible schedule
• Accounting support & consultation
• Opportunities for learning and developing on the project
• 20 working days of annual vacation
• 5 days paid sick leaves/days off; state holidays
• Provide working equipment

On behalf with our customer we are seeking for Data Scientist for customer-facing projects that combine data science with deep knowledge and understanding of machine learning and big data technologies to create solutions for customers’ challenges and needs, defining and developing appropriate technical and business solutions.

Our customer is the leading provider of AI-based Big Data analytics.

They are dedicated to helping financial organizations combat financial crimes through money laundering and facilitating malicious crimes such as terrorist financing, narco-trafficking, and human trafficking which negatively impact the global economy.

Key Responsibilities

• Deliver successful deployment and Pilots
• Manage and design the Customer-specific technical solution throughout the project life cycle
• Technical leadership of Data Science & Engineering aspects and team members including partners
• Work on various data sources and apply sophisticated feature engineering capabilities
• Bring and use business knowledge
• Extract insights and actionable recommendations from large volumes of data and Investigate anomalies in Big Data
• Build and manage technical relationships with customers and partners
• Provide product requirements input to the Product Management team
• Train the customers on the system – system usage and monitoring aspects
• Travel to customer locations both domestically and abroad

Position Requirements

• 3+ years of experience as a Data Engineer, Data Scientist, or Big Data Developer
• Hands-on experience with Apache Spark, Python/PySpark, and SQL
• Familiarity with Hadoop ecosystem (Hive, Impala, HDFS, Sqoop) and data pipeline optimization
• Practical experience building or integrating AI agents and working with LLMs
• Strong skills in data transformation, ML feature engineering, and analytics for financial services
• Experience with workflow automation tools (Airflow, MLflow, n8n) and version control (GIT)
• Ability to work with customers, train teams, and deliver technical solutions
• English level B2 and higher

What we can offer you

• Remote work from Ukraine or EU countries with flexible schedule
• Accounting support & consultation
• Opportunities for learning and developing on the project
• 20 working days of annual vacation
• 5 days paid sick leaves/days off; state holidays
• Provide working equipment

On behalf with our customer we are seeking for a Full Stack Developer to join our global R&D department (security company).

Our customer is a security company at the forefront of Non-Human Identity Management. They are building next-generation solutions to secure and manage machine identities across organizations worldwide.
 

Key Responsibilities:

• Design, develop, and maintain complex, production-ready systems using React and Node.js.
• Write clean, type-safe, and maintainable code with TypeScript.
• Lead end-to-end feature development, ensuring scalability and performance.
• Monitor and optimize the frontend production environment.
• Collaborate with backend teams to ensure seamless integrations.
• Work effectively in a fast-paced environment, delivering high-quality results on time.
• Contribute to a positive, collaborative, and security-focused team culture.
   

Qualifications:

• 5+ years of hands-on experience with React and Node.js in production-grade systems.
• Strong understanding of databases (MongoDB, PostgreSQL).
• Experience with AWS cloud services.
• Solid knowledge of TypeScript for full-stack development.
• Familiarity with CI/CD pipelines, Terraform, Kubernetes (a plus).
• Understanding of microservices architecture.
• Proven ability to scale and monitor frontend applications in production.
• Good understanding of backend processes and integration workflows.
• Strong communication skills and a collaborative mindset.
• Ability to thrive in a high-paced environment while ensuring quality.
• Experience in security solutions (a plus).
   

What we can offer you:

• Remote work from EU countries (Poland is preferable) with flexible schedule
• Accounting support & consultation
• Opportunities for learning and developing on the project
• 20 working days of annual vacation
• 5 days paid sick leaves/days off; state holidays
• Provide working equipment