opinov8

System Administrator

• Handle tickets and day-to-day user requests, providing quality IT support;
• Administer Microsoft 365, Azure, Intune, Entra ID (Azure AD), and Microsoft Defender;
• Manage devices via Intune: provisioning, compliance policies, application deployment;
• Support information security practices and help with preparation and maintenance of SOC 2 Type II and ISO 27001 compliance (under senior guidance);
• Track software licensing and help identify cost optimisation opportunities;
• Coordinate with vendors and handle hardware procurement and maintenance;
• Use AI tools to speed up incident investigation and help compensate for gaps in experience in unfamiliar situations;
• Maintain technical documentation and knowledge base.

SDET

• Build and maintain E2E test suites across several products;
• Build and maintain API tests, including request/response interception and webhook validation;
• Extend cross-platform coverage through mobile testing;
• Keep CI/CD pipelines healthy — maintain workflows, reduce flaky tests, and support multi-environment execution.

Senior QA Automation Engineer, Playwright/TypeScript

Product Manager

• You'll be the dedicated people manager for all Product Owners - responsible for whether they grow, stay, and get better at their craft.
• You won't set product priorities or decide what any PO works on.
• You'll own the things that actually determine whether a PO function scales well: career development, hiring, coaching, team health, and the community that makes the whole function stronger over time.
• Line management of all POs - 1:1s, performance conversations, and compensation reviews done with both clarity and care.
• Career development for every PO - levelling, individual development plans, and an honest path forward (not just a template).
• Team health - engagement, conflict resolution, retention, and catching burnout before it becomes a problem.
• Hiring and onboarding end-to-end - from role definition through to final hire decision.
• Capacity allocation in partnership with product leadership - balancing where people are needed against where they need to grow.
• A real PO community with rituals people actually value - peer learning, retrospectives that improve how the function works, not just how people feel about it.
• The career ladder and competency framework - define it, keep it alive, use it consistently.
• Coaching on the skills that don't appear in a backlog: stakeholder management, influence without authority, executive presence, and communication that lands.

Lead Product Manager, People Management – HealthTech

Full-stack Engineer

• As a Senior Full Stack Engineer, you will be responsible for designing, developing, testing, and maintaining high-quality software solutions while driving technical innovation and mentoring junior engineers.
• Design, develop, and maintain scalable, efficient, and secure full-stack applications.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Ensure high performance, reliability, and maintainability of applications.
• Develop and maintain backend services using .NET (C#), PostgreSQL, and SQL Server.
• Implement front-end components with React, Redux, and JavaScript.
• Write clean, efficient, and well-documented code following best practices.
• Conduct code reviews, provide constructive feedback, and mentor junior engineers.
• Troubleshoot and debug applications to optimize performance.
• Stay up to date with emerging technologies and industry trends.
• Participate in architectural discussions and contribute to technical decision-making.
• Implement and maintain CI/CD pipelines for continuous integration and deployment.
• Work closely with product managers, designers, and stakeholders to align technical solutions with business objectives.

Senior Full-Stack Engineer

Backend Engineer

• Design & develop scalable web APIs using C# 12 and ASP.NET Core, ensuring high performance, security, and maintainability across multi-threaded server environments;
• Work with multiple data stores - MSSQL, MongoDB, and Solr (Elasticsearch-based);
• Build and maintain microservices communicating exclusively via RabbitMQ, contributing to the ongoing migration from a monolithic architecture;
• Integrate with AWS services;
• Implement document recognition and parsing pipelines;
• Apply software architecture best practices - SOLID principles, design patterns, and clean code standards;
• Champion code quality through testing, debugging, and thorough code reviews;
• Collaborate in an agile environment with distributed teams, contributing to architectural decisions and the evolution of the platform.

Senior .Net Engineer

Architect

• Architect and design enterprise-scale data platforms leveraging Azure Databricks and Azure cloud services;
• Define and implement Lakehouse architecture patterns using Delta Lake and Databricks best practices;
• Design scalable data ingestion, transformation, and serving frameworks supporting both batch and streaming workloads;
• Design and implement real-time and near real-time data processing solutions using Structured Streaming, CDC, Change Data Feed (CDF), and event-driven architectures;
• Design and manage multi-workspace Databricks environments and shared Metastore architectures.
• Establish platform governance, security controls, cluster policies, RBAC models, and access management frameworks;
• Design and implement CI/CD pipelines for Databricks assets, infrastructure, and data workloads.
• Automate infrastructure provisioning using Infrastructure as Code (Terraform, ARM, or Bicep);
• Develop deployment strategies and release management processes across development, staging, and production environments;
• Optimize Databricks workspaces, clusters, jobs, and storage configurations for performance and cost efficiency;
• Implement monitoring, alerting, logging, and observability solutions for platform operations;
• Define and enforce data architecture standards, data quality frameworks, and governance policies;
• Integrate Azure Databricks with Azure Data Factory, Azure Synapse, Azure Storage, Azure Key Vault, Azure Entra ID, and other Azure services;
• Support Lakeflow Connect, managed connectors, CDC implementations, and enterprise data ecosystem interoperability;
• Collaborate with engineering and business teams to translate requirements into scalable technical solutions;
• Provide architectural guidance, technical leadership, and mentorship to engineering teams.

Azure Databricks Architect

Data Engineer

• Actively design, build, and optimize scalable ETL pipelines for structured and semi-structured data supporting Insights use cases, growth metrics, pubsports, and other out-of-game data sets.
• Design and implement complex data models using industry best practices that capture a complete ecosystem view of in- and out-of-game experiences, while ensuring accuracy, scalability, and long-term usability.
• Architect and implement robust, maintainable, and high-performance data solutions.
• Automate workflows to reduce manual intervention and enhance data processing efficiency, including automation for content, growth, and pubsports areas of coverage.
• Mentor data engineers across all levels, through code reviews and technical guidance, setting best practices and fostering technical growth.
• Optimize query performance and resolve pipeline bottlenecks to improve data accessibility.
• Evaluate and prototype new tools, frameworks, and methodologies to advance data engineering capabilities.
• Support cost optimization by ensuring scalable and efficient data solutions.
• Ensure data quality, governance, and compliance with regulatory standards (e.g., GDPR, CCPA).
• Contribute to the Data Engineering team's discipline by shaping infrastructure, craft standards, tooling, and organizational best practices.

Staff Data Engineer – Product Insights, Gaming Industry

• Actively design, build, and optimize scalable ETL pipelines for structured and semi-structured data supporting Insights and Finance use cases that analyze technology usage and costs (e.g. AWS CUR).
• Design and implement complex data models using industry best practices that capture a complete view of technology usage and costs, while ensuring accuracy, scalability, and long-term usability.
• Partner closely with internal stakeholders to understand their needs and craft solutions that drive their ultimate outcomes.
• Architect and implement robust, maintainable, and high-performance data solutions.
• Automate workflows to reduce manual intervention and enhance data processing efficiency, including automation for finance processes.
• Mentor junior data engineers through code reviews and technical guidance, setting best practices and fostering technical growth.
• Optimize query performance and resolve pipeline bottlenecks to improve data accessibility.
• Ensure data quality and governance.