Innovecs

Full-stack Engineer

• Build from Scratch
• Architect and implement core ad-serving infrastructure
• Design high-performance APIs that handle real-time bidding
• Create sophisticated analytics systems for revenue tracking
• Own Complex Systems
• Manage database migrations and performance optimization
• Implement third-party integrations with major partners
• Build developer tools and automation workflows
• Data-Driven Development
• Create comprehensive analytics dashboards
• Optimize queries and caching strategies
• Implement A/B testing frameworks
• Cross-Functional Impact
• Work directly with founders and product team
• Shape technical architecture and engineering culture
• Mentor junior developers and contractors

Senior Full-Stack Engineer

QA Engineer

• Conduct thorough Quality Assurance and testing of products poised for soft-launch
• Keep testing documentation up to date and ensure its organized management
• Collaborate closely with a team of programmers, artists, product owners, and game designers to ensure the highest quality of our products
• Engage in proactive communication with team members to identify and resolve quality-related issues promptly

Middle Manual QA Engineer – iGaming

Backend Engineer

• Be part of an agile team, the core technological team to build and advance a low latency / high-throughput trading platform,
• Participate in all aspects of the development and influence foundation for a system affecting a huge market,
• Lead features from design to production,
• Take active part of Teamwork and team spirit, share and learn from each other,
• Take part in a deep tech product development,
• Take part in influencing the evolution of exberry architecture,
• Take part in influencing product development and growth,
• Take part in ever improving the product delivery life-cycle,
• Help the agile team meet its goals.

Technical Lead Software Engineer, Java

Machine Learning Engineer

• Understand business cases to evaluate potential solutions, leveraging ML and AI to address complex challenges
• Analyze large, complex data sets to translate them into actionable insights
• Simplify data sets to solve a wide array of challenging problems using analytical and statistical approaches
• Perform the preparation and preprocessing of both structured and unstructured data to ensure model accuracy and effectiveness
• Design, develop, implement, and test both descriptive and predictive ML models, focusing on quality, accuracy, and consistency
• Convert data into meaningful insights and present information using advanced data visualization tools and techniques
• Deploy models into production environments and be responsible for model management (MLOps)
• Mentor machine learning engineers and junior machine learning engineers in the AI/ML team.

Senior Machine Learning Engineer

• Full-Spectrum AI Integration: Implement and oversee the "full use of AI" across the SDLC—from architectural design and code generation to debugging and deployment—to maximize team velocity.
• Accelerated Delivery: Use AI-driven insights to meet and exceed performance benchmarks, ensuring that technical debt is minimized while output is maximized.
• Prompt Engineering & Mentorship: Mentor the team in AI best practices, ensuring AI is used as a core engine for development, not just a complementary tool.
• Performance & KPIs: Define and monitor clear KPIs with team members, reporting progress to senior management.
• Bi-directional Growth: Conduct monthly 1-on-1s and 6-month formal feedback sessions to support career paths and personal development.
• Code Quality: Enforce a strict 97% code coverage ratio and maintain a code churn of 10% or less during the final two days of a sprint.
• Stability: Ensure less than 1% of deployed code results in downtime.
• Review Process: Lead code reviews focused on performance, standards, and observability.
• Documentation: Foster a sharing culture by keeping the wiki updated and sharing monthly technical articles with the team.
• Data-Driven Decisions: Use analytical rigor and data to guide the team’s direction.
• Autonomy: Provide clear goals in our Agile environment and empower the team to be self-directing.
• Risk Mitigation: Act as a "lantern" for the team, identifying and solving problems before they escalate.

Senior Full-Stack Engineer

Middle Manual QA Engineer – iGaming

Technical Lead Software Engineer, Java

Senior Machine Learning Engineer

Backend Team Leader – AI-Driven Lifecycle Specialist