SQRD.tech

Company
The company specializes in lead generation within the iGaming domain, primarily through SEO-driven solutions. They work on long-term client projects and are currently expanding their internal development team.

Position Overview

We are looking for a Lead / Senior Full-Stack Engineer who operates at a true senior / lead level — not by years of experience, but by depth of expertise and ownership.

This role is for someone who:

• takes full ownership of complex systems
• makes architectural decisions
• builds scalable solutions (not just features)
• sets and raises engineering standards within the team

Location & Format

• Remote
• EU time zone required
• Full-time, long-term cooperation

Language Requirements

• English — required for daily communication
• Strong English is a significant advantage

Team & Projects

You will join a stable team working on long-term lead generation platforms.

This is not a task-execution role. We expect you to:

• take ownership of complex technical decisions
• improve architecture and system performance
• raise the overall engineering bar within the team

Tech Stack

• PHP (Symfony)
• WordPress
• JavaScript
• HTML / CSS

Key Requirements

WordPress (must-have, advanced level)

• Experience building complex, large-scale WordPress systems (not content websites)
• Hands-on experience with WordPress Multisite (production)
• Strong experience with custom plugin development, including:
  • OOP
  • Composer / autoloading
  • Typed properties
• Experience with:
  • custom database structures
  • custom caching strategies (not plugin-based)
  • advanced use of WP_Query
  • improving developer & admin tooling

👉 If your experience is mostly theme customization or plugin usage — this role is not a fit.

PHP (strong senior level required)

• 5+ years with modern PHP (8+)
• Ability to design abstractions, libraries, and internal frameworks
• Experience with:
  • phpcs / phpcbf
  • custom sniffs OR PHPParser / AST
  • reflection & introspection
  • DTOs, Value Objects, clean architecture principles

Frontend / CSS

• Strong modern CSS skills (must-have)
• Understanding of browser rendering, layout, and performance

Performance & Optimization (critical)

• Deep understanding of Core Web Vitals
• Real experience with performance optimization (not just tools/plugins)
• Ability to identify bottlenecks and design custom solutions

Mindset & Approach

We are looking for engineers who:

• think analytically and architecturally
• deeply understand systems, not just tasks
• challenge “working solutions” and improve them
• proactively raise engineering standards

👉 If you mainly execute tasks and rely on predefined solutions — this role is not a fit.

AI Usage

• AI is allowed, but must not be a dependency
• Strong preference for engineers with deep system understanding
• AI-generated communication is discouraged

Start Date

• ASAP

Senior Python Engineer (AI-driven Recommendation Platform, iGaming domain)

About the Product

We are developing an AI-powered performance optimization platform for online casinos and sportsbooks. The solution helps operators improve key business metrics by increasing player engagement and loyalty through personalized recommendations and predictive analytics.

The platform collects and processes player behavior data across multiple systems, builds detailed user profiles, and generates actionable insights, including:

• identifying players who misuse bonus programs without long-term retention
• detecting patterns of risky or excessive gaming to support responsible play
• recommending relevant games and activities based on user preferences and behavioral history

You will join a team building scalable recommendation systems, working with large volumes of data, and implementing ML-driven personalization to enhance user experience within iGaming products.

Requirements

• 5+ years of backend development experience with Python
• Strong foundation in mathematics, statistics, or computer science
• Hands-on experience with FastAPI, Django, or Flask
• Solid knowledge of data structures, algorithms, and distributed systems
• Experience with SQL and NoSQL databases (PostgreSQL, Redis, DynamoDB, MongoDB, etc.)
• Practical experience with Kafka or RabbitMQ and asynchronous architectures
• Cloud experience with AWS (Lambda, S3, RDS, SQS, etc.)
• Experience designing and maintaining high-load, scalable systems
• English level — B2 or higher

Nice to Have

• Experience with recommendation systems, data analysis, or ML-based personalization
• Understanding of data pipelines and ETL processes
• Experience with Kubernetes, Docker, and CI/CD pipelines
• Familiarity with Elasticsearch and monitoring/visualization tools (Grafana, Kibana)

Responsibilities

• Design and develop scalable backend services for AI-powered recommendation systems
• Collaborate with data scientists and ML engineers to deploy models into production
• Optimize data storage, processing, and retrieval for large-scale user datasets
• Ensure system reliability, performance, and scalability
• Take part in architectural discussions, code reviews, and mentoring
• Contribute to new features aimed at increasing player engagement and retention

Tech Stack

Python, FastAPI, Django, Flask, Kafka, RabbitMQ, PostgreSQL, Redis, DynamoDB, AWS (Lambda, S3, RDS, API Gateway, CloudWatch), Kubernetes, Pandas, NumPy, SQLAlchemy, Celery, Elasticsearch, Prometheus, Grafana.

Remote from Poland
Contract duration: April 20, 2026 – December 31, 2026
Experience: 4+ years

About the Role
We are looking for a Data Engineer with strong DevOps and infrastructure expertise to work on building and maintaining scalable data platforms and cloud environments. The role combines data engineering, cloud infrastructure management, and DevOps practices within the Azure ecosystem.

Requirements

Must have:

• Strong understanding of data modeling (data warehouses and transactional systems)
• Hands-on experience with Databricks, Delta Lake, Python, PowerShell, and MS SQL Server / T-SQL
• Experience with Terraform, ARM templates, YAML, and Azure cloud services (App Services, Application Gateway, Azure Firewall, Routing, API Management)
• Solid understanding of distributed systems, Windows Server administration, scaling, disaster recovery, and backup/restore processes
• Familiarity with identity and security protocols (OAuth2, OpenID Connect, Azure Entra ID)
• Experience working with SQL Server, Kusto Query Language, Gremlin Query Language, and Azure Artifacts
• Strong knowledge of Azure data stack: Azure Data Factory, Azure Data Lake, Cosmos DB
• Experience with DevOps practices including CI/CD, testing, monitoring, and optimization of data pipelines
• Proficiency with tools such as Azure DevOps, Git, Visual Studio
• Experience working with Windows and Azure environments
• Agile/Scrum experience

Nice to have:

• Experience with Power BI for data visualization
• Familiarity with SaaS solutions and Managed Identities
• Advanced PowerShell scripting (e.g., DSC)

Tech Stack:
Databricks, Data Lakes, Python, PowerShell, Terraform

Responsibilities

• Design and build data pipelines using Azure Data Factory and Databricks
• Develop and maintain data models for both transactional and analytical use cases
• Work with Azure-based infrastructure (IaaS and PaaS)
• Perform schema evolution and data migrations
• Optimize ETL processes and overall data workflows
• Automate and provision infrastructure using PowerShell, ARM templates, and Terraform
• Maintain and improve existing applications and DevOps infrastructure
• Troubleshoot cloud services and resolve technical issues
• Implement security practices and monitoring across cloud and DevOps environments
• Design and configure network infrastructure and reliability solutions
• Build and maintain CI/CD pipelines in Azure DevOps
• Participate in deployment processes and keep documentation up to date
• Ensure adherence to best practices in operations, backup, scaling, and disaster recovery

Location
Remote (candidates must be based in Poland)

Remote from Poland
Contract duration: March 30, 2026 – June 29, 2026
Experience: 4+ years

About the Role
We are looking for a Senior AI Engineer to design and deliver advanced AI-driven solutions. The role involves working with LLM-based systems, building agent architectures, and developing scalable, production-ready applications using modern AI frameworks and Azure services.

Requirements

Must have:

• Strong Python skills with hands-on experience in AI and data engineering
• Practical experience with LangChain and LangGraph
• Experience with Azure AI Services (Azure OpenAI, Cognitive Services)
• Proven background in designing LLM-based and agent-driven solutions
• Experience integrating APIs and working with agent tooling
• Ability to build production-grade AI systems with observability and proper error handling

Nice to have:

• Experience with other AI frameworks or cloud-based AI platforms
• Understanding of MLOps and machine learning lifecycle
• Strong analytical thinking and collaboration skills

Tech Stack:
Python, AI, LLM, LangChain, LangGraph

Responsibilities

• Design, develop, and deploy AI-powered and LLM-based solutions
• Build and maintain AI systems using Python
• Implement solutions with LangChain and LangGraph
• Integrate AI components with APIs and external services
• Develop production-ready systems with logging, monitoring, versioning, and rollback mechanisms
• Utilize Azure AI Services for building scalable solutions
• Collaborate with cross-functional teams to define architecture and best practices
• Ensure high performance, scalability, and security of solutions

Location
Remote (candidates must be based in Poland)

We are looking for Data Scientist to join a Data Team working on innovative AI-driven products. 
 

These roles focus on building AI-powered solutions that solve real business challenges and deliver personalized customer experiences. The team leverages Generative and predictive AI to enhance customer journeys and automate operational processes.

Responsibilities:

• Collaborate closely with Product Owners, Data Analysts, Data Engineers, and ML Engineers to design, develop, deploy, and monitor scalable AI and Generative AI solutions
• Drive the adoption of Generative AI across the organization by building solutions using LLMs, embeddings, and RAG architectures
• Work directly with business stakeholders to translate requirements into production-ready AI systems
• Monitor and optimize model and system performance, applying best practices in Data Science, MLOps, and LLMOps
• Continuously improve prompts, models, and pipelines to maximize business impact
• Stay up to date with advancements in LLMs, RAG frameworks, and GenAI technologies to drive innovation

Requirements:
Must-have:

• 5 years of experience in Data Science or Applied Machine Learning
• Strong proficiency in Python and SQL
• Experience building and deploying machine learning models
• Hands-on experience with Generative AI, including:

• Embeddings
• Vector search
• RAG-style architectures
• NLP or transformer-based models
  • Understanding of advanced model evaluation methods (ranking, relevance, retrieval quality, etc.)

Nice to have:

• Experience with Snowflake
• Knowledge of AWS cloud services
• Experience with LLMOps (prompt and version management, monitoring, evaluation frameworks)

Domain: iGaming / Gambling
Format: Product company
Experience: 5+ years

About the Company

We are an international product company operating in the gambling sector. Our platform delivers real-time personalization for casino and sportsbook products using advanced machine learning. The solution processes live behavioral, transactional, and contextual data to improve player engagement, retention, and overall performance for operators worldwide.

Our focus is on building production-grade ML systems that directly influence what users see in real time — from game recommendations to personalized content and promotions.

Role Overview

We are looking for a Senior Data Scientist to join a product-focused team working on real-time personalization and recommendation systems for iGaming platforms.

This is a hands-on role that combines modeling, experimentation, and close collaboration with engineering and product teams in a high-load, real-time production environment.

Main Responsibilities

• Develop ML-driven features for casino products using supervised learning (regression, ranking, classification)
• Maintain and improve existing recommendation systems in production
• Enhance models using gradient boosting and other supervised approaches
• Perform data cleaning, preprocessing, and feature engineering
• Design and maintain pre- and post-processing workflows
• Optimize training and inference pipelines for performance and reliability
• Integrate ML models into Airflow pipelines in a multi-tenant environment
• Adapt and configure the solution for different clients (tenants)
• Collaborate closely with product and engineering teams on experimentation and feature delivery

As Part of the Team You Will

• Work cross-functionally with data scientists, engineers, product owners, designers, and researchers
• Analyze large-scale datasets to extract insights for product and business decisions
• Propose, implement, and evaluate ML approaches to solve real business problems
• Support and evolve a recommendation solution used across multiple tenants
• Influence product strategy through research, experimentation, and data-driven insights into user behavior

Experience & Education

• 5+ years of professional experience in data science
• Degree in a quantitative field (Mathematics, Statistics, Computer Science, or similar)

Core Skills

• Strong proficiency in Python and SQL
• Hands-on experience with data processing tools (Pandas, Polars)
• Solid engineering skills for building and maintaining scalable ML systems
• Experience implementing observability in ML pipelines (metrics, logging, alerting)
• Knowledge of Docker and Kubernetes
• Strong analytical mindset with the ability to solve loosely defined problems
• Hands-on experience with supervised ML techniques, including:
  • Regression and ranking models (XGBoost, LightGBM, CatBoost, neural networks)
  • Feature engineering and model evaluation (AUC, NDCG, MSE, uplift metrics)
  • Personalization or recommendation systems
• Proven experience deploying ML models to production (near real-time or batch)
• Solid understanding of statistical methods (A/B testing, significance testing)

Nice to Have

• Production experience with large-scale recommendation systems
• Experience with Airflow, Valkey/Redis, FastAPI in production
• Familiarity with contextual bandits or reinforcement learning
• Experience with AutoML tools

Company
The company’s core focus is lead generation in the iGaming domain, primarily through SEO-driven solutions. They work with long-term client projects and are currently expanding their internal development team.

Position
We are looking for a Lead / Senior Full-Stack Engineer(PHP/Wordpress/JS) to join an established front-end team. The role requires a senior-level engineer who can take ownership of complex tasks, contribute to technical decisions, and support overall code quality.

Full-time, long-term cooperation

Location
Remote
Candidates must be located within the EU time zone

Language
English – sufficient for regular communication with the team

Experience
5–10 years of commercial development experience

Team & Projects
You will join a stable, long-term team working on multiple client projects focused on lead generation platforms. The team already includes several front-end developers, and we are looking for a more senior specialist who can take ownership of complex tasks and support overall technical quality.

Tech Stack

• PHP (Symfony)
• WordPress
• JavaScript
• HTML / CSS

Key Requirements

WordPress (advanced level)

• Experience building complex WordPress-based systems (beyond simple blogs)
• Hands-on experience with WordPress Multisite
• Custom plugin development using:
  • Object-Oriented Programming
  • Composer / autoloading
  • Typed properties and variables
  • Custom database tables
• Experience creating custom caching solutions for high-performance systems
• Strong experience with WP_Query for complex queries
• Experience building custom tools to improve the WordPress developer or admin experience

PHP

• 5+ years of experience with modern PHP (8+)
• Experience with phpcs / phpcbf
• Experience defining custom sniffs or working with PHPParser / AST
• Experience with reflection and introspection
• Solid understanding and practical use of DTOs and Value Objects

General

• Experience working with Core Web Vitals and performance optimization

Start Date
ASAP

Domain: Banking and Finance
Location: Remote from Poland
Experience Required: 3+ years

Project Overview
We are looking for an experienced Data ETL Engineer to join our client’s project and help design, build, and maintain data pipelines within the Google Cloud Platform (GCP) ecosystem.

The role focuses on developing scalable ETL/ELT processes, improving data workflows, and ensuring stable and reliable data delivery for analytics and business applications.

In this position, the specialist will work with large-scale data environments, integrate data from multiple sources, and ensure efficient, secure, and high-quality data processing in line with modern DataOps and cloud engineering practices.

Technical Requirements

Must have:

• 3+ years of experience in SQL development and query optimization, especially in BigQuery
• Experience designing and implementing ETL/ELT pipelines and data transformation processes
• Practical experience with GCP data services such as BigQuery, Data Fusion, Cloud Composer / Airflow, or similar tools
• Hands-on experience with Data Vault modeling
• Programming experience in Python
• Familiarity with Terraform
• Experience with CI/CD pipelines and DevOps tools (e.g., Git, Jenkins, Ansible)
• Experience working in Agile teams and following DataOps practices
• Strong analytical thinking and problem-solving skills

Nice to have:

• Experience building data ingestion pipelines for formats such as CSV, JSON, and XML
• Experience integrating data from REST or SOAP APIs, SFTP servers, and enterprise systems
• Understanding of data contract best practices
• Experience with Java development or creating custom plugins for data integration tools
• Experience with continuous testing and delivery for cloud-based data platforms
• Strong communication and collaboration skills
• Ability to work independently and manage several tasks simultaneously
• Proactive mindset and structured approach to problem solving
• Willingness to continuously learn and improve technical skills
• Team-oriented attitude and ability to collaborate with cross-functional teams

Required Technical Skills

• SQL
• BigQuery
• ETL & Data Management Tools
• CI/CD
• Python
• Terraform
• Agile

Responsibilities

• Design, develop, test, and deploy data models and transformations in BigQuery using SQL and related tools
• Build and maintain ETL/ELT pipelines to transform raw and unstructured data into structured datasets using Data Vault modeling
• Integrate data from multiple sources, including on-premise systems, APIs, and cloud platforms
• Monitor and troubleshoot data pipelines to detect performance issues, failures, or data inconsistencies
• Optimize ETL/ELT processes to improve performance, scalability, and cost efficiency
• Implement business and technical requirements in data transformation workflows
• Ensure solutions meet non-functional requirements such as security, reliability, scalability, and compliance with IT standards
• Manage code repositories and CI/CD pipelines using tools like Git and Jenkins
• Collaborate with DevOps and data teams to enable automated deployment, testing, and monitoring
• Provide bug fixes, improvements, technical documentation, and support knowledge transfer to operational teams