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We are looking for a Principal Engineer with deep expertise in database internals, system architecture, and hardware-aware performance optimization.
This role is responsible for defining and driving advanced database performance solutions by understanding and improving the interaction between database engines, operating systems, and modern hardware architectures.
The ideal candidate is an experienced technical leader with a strong background in database systems, performance engineering, and computer architecture. The candidate should be capable of leading complex technical initiatives, influencing architectural decisions, and developing innovative solutions for next-generation database platforms.
This is a hands-on technical leadership role requiring expertise across database kernels, query execution, transaction processing, memory systems, and low-level performance optimization.

Responsibilities
Define and drive technical direction for database performance optimization and hardware-aware database architecture.
Lead the design and implementation of advanced database optimizations focused on scalability, efficiency, and workload performance.
Solve complex performance challenges across the full system stack, including database engines, query execution, transaction processing, concurrency control, storage engines, operating systems, and hardware platforms.
Design and develop optimizations leveraging modern hardware architectures, including multi-core CPUs, large-memory systems, NUMA platforms, CXL memory, RDMA networking, and advanced storage technologies.
Improve database execution engines, caching mechanisms, memory management, storage systems, and workload scheduling.
Analyze system behavior and identify bottlenecks using profiling, tracing, hardware performance counters, and low-level performance analysis.
Develop benchmarks, workload models, and methodologies to evaluate scalability, efficiency, and architectural tradeoffs.
Collaborate with database kernel, infrastructure, and engineering teams to influence architecture decisions and deliver high-impact improvements.
Mentor senior engineers and contribute to building technical expertise across the organization.
Drive innovation through research, prototyping, technical analysis, and architectural improvements.

We are looking for an experienced Software Team Leader to build and lead a new team focused on AI and agent technologies for enterprise data platforms.
This is a hands-on leadership role. The Team Leader will define the technical direction, build the first solutions, recruit engineers, and turn new AI ideas into production systems.
The main focus is AI agents, RAG, natural-language interaction, model integration, and intelligent workflows. Database technologies are an important foundation, but not the center of the role.

Responsibilities
Lead a new software engineering team.
Define the AI architecture, roadmap, and technical priorities.
Build AI agents that reason, use tools, and execute multi-step workflows.
Develop agent orchestration, state management, and workflow execution.
Build agent workflows for data analysis, automation, and decision support.
Integrate LLMs, embedding models, and model-serving platforms.
Develop tool and API integration for AI agents, including MCP where relevant.
Optimize AI systems for latency, throughput, cost, and scale.
Move successful prototypes into production-grade software.
Work closely with data, database, infrastructure, cloud, and product teams.

We are seeking a Data Engineer with strong technical expertise and a business-oriented mindset to lead end-to-end data, automation, and AI solutions. The role requires the ability to understand business needs and translate them into scalable, reliable technology solutions.

The successful candidate will design, develop, and maintain data pipelines, automation processes, analytics, and AI-enabled solutions that drive operational efficiency and data-informed decision-making. Strong collaboration, teamwork, and communication skills are essential, including fluency in English and the ability to work effectively with both technical and business stakeholders in a local and global environment.

Experience with Microsoft technologies (e.g., Azure, Power Platform, Power BI, Copilot) is a strong advantage. The position combines hands-on data engineering with automation, analytics, and AI innovation.

We are looking for a DevOps Engineer to turn expertise, initiative, and bold thinking into real impact on the next generation of AI-driven financial crime detection.



In this role, you will design and automate our cloud infrastructure and on-premises OpenShift environments - building the tools and processes that let our R&D team develop smoothly and rapidly, while helping maintain production stability through on-call support.



If you combine strong DevOps and infrastructure automation expertise with a passion for continuously improving tools and processes, and if you are motivated by keeping mission-critical systems fast, stable, and reliable for the world's leading financial institutions, could be your next challenge.



Responsibilities:

Continuously improve the tools and processes used by our R&D team to enhance productivity and innovation.
Design, implement, and automate our cloud infrastructure alongside on-premises OpenShift environments.
Provide our R&D and Production teams with robust, reliable tools to ensure smooth and quick workflows.
Research and explore new technologies and methodologies to continuously improve our development processes and overall product quality.
Participate in an on-call rotation, assisting lower tiers to mitigate issues and maintain system stability.