SQRD.tech

Project Overview

We are looking for a highly experienced Senior DevOps Engineer to join a large-scale international engineering team working on a modern cloud-based platform in the Banking & Finance domain.

The environment combines cloud and on-premises infrastructure, with a strong focus on automation, CI/CD, infrastructure reliability, and DevSecOps best practices. The role offers significant ownership and involvement in shaping the platform’s technical direction.

The overall team consists of approximately 100 specialists located across Poland, India, the US, and Canada. The InfraPOD team includes 6 engineers working mainly within Polish business hours.

Location

Hybrid role from Kraków

Important: onsite presence in Kraków is required 2 days per week.

Requirements

• 8+ years of hands-on experience in DevOps engineering
• Strong practical experience with GCP and cloud infrastructure
• Solid expertise in Jenkins, Ansible, Cloud Build, and CI/CD automation
• Strong scripting skills with Shell and Python
• Experience working with Linux systems and containerized environments
• Good knowledge of PostgreSQL
• Understanding of DevSecOps principles
• Experience with IBM MQ, sFTP integrations, and TLS certificate management
• Experience working in Java or Python-based environments
• Ability to work independently and collaborate with distributed global teams
• Strong communication and problem-solving skills
• Fluent English

Nice to Have

• Experience with Go
• Knowledge of Kubernetes, Terraform, Flux, Docker, and GitHub
• Experience working with REST APIs using Shell or Python
• Familiarity with Oracle and CloudSQL
• Experience with microservices architecture
• Knowledge of messaging platforms such as Solace
• Experience with IBM and Q Platform

Responsibilities

• Design and maintain infrastructure architecture
• Prepare and maintain technical documentation
• Automate infrastructure and operational processes using IaC practices
• Build, maintain, and improve CI/CD pipelines
• Ensure system reliability, performance, and security across cloud and on-prem environments
• Support production and non-production systems together with development, SRE, and DBA teams
• Identify automation opportunities and implement end-to-end solutions
• Maintain MQ and sFTP integrations with external partners
• Coordinate disaster recovery activities, patching, and infrastructure upgrades
• Troubleshoot infrastructure and network-related issues
• Perform gap analysis and recommend system improvements

Tech Stack

• GCP (Google Cloud Platform)
• DevOps
• Java
• Python
• Shell
• PostgreSQL
• IBM MQ

Team & Workflow

• International distributed team
• Daily stand-up at 8:00 AM (Polish time)
• Each engineer owns one major project plus several smaller ad hoc tasks
• Strong individual contributor mindset is required

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 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.

Location: Remote (Europe)
Experience Level: 5+ years

About the Project
We are looking for a Senior Backend Developer (close to Architect level) to design and build core backend services for the ORA platform. The role is focused on secure cloud integration using KMIP and Barbican, with strong involvement in cryptography, Kubernetes, and open-source technologies.

Key Requirements

Must have:

• Senior-level experience in backend development with Java, Golang, or Python
• Proven hands-on experience in crypto-related projects (clearly visible in CV)
• Strong understanding of cryptography, including TLS and data encryption
• Practical expertise with Kubernetes (infrastructure and management layers)
• Experience working with OpenStack
• Solid background in unit and integration testing
• Experience designing and maintaining distributed systems and core backend services
• English level: Upper-Intermediate / Advanced (C1+)

Nice to have (at least one of):

• Experience with KMIP and key management systems
• Knowledge of Barbican or similar solutions
• Understanding of cloud convergence and ORA architecture
• Experience with microservices scalability and performance optimization
• Familiarity with open standards and open-source integrations

Tech Stack
Java, Golang, Python, Kubernetes, OpenStack, Unit Testing, Integration Testing

Responsibilities

• Design and develop core backend services for ORA
• Integrate with KMS via KMIP (e.g., Barbican, Ceph)
• Build and manage Kubernetes-based infrastructure (CRDs, operators, controllers)
• Implement secure communication using TLS and encryption mechanisms
• Collaborate with architecture and infrastructure teams
• Develop and maintain unit and integration tests
• Participate in architectural decisions and provide technical leadership