Langfuse Solutions Architect

Develop high-performance software applications.

Collaborate with cross-functional teams effectively.

Participate in all stages of the software development life cycle.

Follow best practices for writing secure, testable, and maintainable code.

Participate in all software development life cycle stages.

Write secure, testable, and maintainable code.

Lead architecture for Revenue Intelligence domain.

Deliver reference implementations and prototypes.

Participate in all stages of the software development life cycle.

Collaborate with cross-functional teams to build a high-performance platform.

Become a ClickHouse subject matter expert.

Create marketing collateral like blogs and guides.

Participate in all software development stages.

Write clean, maintainable code following best practices.

Design and build core data infrastructure.

Own the architecture for data systems.

Architect and build data infrastructure.

Handle vast clickstream and third-party data.

Expand EAP's data delivery capabilities.

Architect and automate scalable services and systems.

Enhance ClickHouse's Python connector and SDK.

Integrate with orchestration tools to enterprise standards.

Participate in all software development life cycle stages.

Ensure code quality through best practices and testing.

Develop AI agents for business challenges.

Collaborate with Generative AI teams.

Develop and maintain scalable applications.

Collaborate with cross-functional teams.

Participate in all software development life cycle stages.

Follow clean code principles and best practices.

Design and develop backend systems.

Create distributed data systems.

Participate in all stages of the software development life cycle.

Follow clean code principles and best practices.

Develop and maintain full-stack applications.

Collaborate with cross-functional teams to achieve project goals.

Develop and maintain full-stack applications.

Collaborate with global teams including engineers and product managers.

Participate in the software development life cycle.

Collaborate with cross-functional teams.

Develop and maintain high-performance applications.

Collaborate with cross-functional teams in an agile environment.

Develop high-performance applications.

Collaborate with cross-functional teams.

Develop and maintain full-stack applications.

Collaborate with cross-functional teams for project success.

Develop and maintain full-stack applications.

Collaborate with cross-functional teams.

Develop and maintain full-stack applications.

Collaborate with cross-functional teams on project requirements.

Participate in all stages of the software development life cycle.

Implement testing and performance tuning for system stability.

Develop and maintain scalable full-stack applications.

Collaborate with cross-functional teams including engineers and designers.

Participate in the software development life cycle.

Write secure, testable, and well-documented software.

Own full sales cycle for sub-250 accounts.

Engage with technical stakeholders and map use cases.

Build AI platform components.

Collaborate with product and compliance teams.

Define the technical foundation for AI governance.

Design systems for AI audit events and policy enforcement.

Build backend systems for AI Governance.

Implement AI audit event pipelines.

Collaborate with teams to build client reporting solutions.

Integrate new data sources and APIs for enhanced reporting.

Own the full sales cycle for small accounts.

Engage with technical teams to map use cases.

Design scalable data models.

Collaborate with product and analytics teams.

Develop the core product for readers and writers.

Collaborate with cross-functional teams.

Design and deliver Go software for compute infrastructure.

Develop Kubernetes controllers for automation.

Lead the architecture and design of microservices.

Build decision engines for threat response.

Lead evaluations of AI engineering for LLM observability.

Collaborate with various stakeholders including engineers and CTOs.

Build and maintain production data infrastructure.

Ingest data from various sources.

Build scalable backend systems.

Collaborate closely with customers.

Lead technical evaluations for ClickHouse.

Engage with data/ML engineers for LLM stack mapping.

Manage cloud database infrastructure.

Implement high availability and disaster recovery solutions.

Build and scale software tools for businesses.

Leverage AI in product development.

Lead the engineering team and empower engineers.

Drive projects to completion and ensure high quality.

Lead the development of a market data platform.

Deliver historical and real-time data pipelines within 60 days.

The Support Escalations Engineer role offers an exciting opportunity for individuals passionate about problem-solving in a customer-facing technical environment. You will take ownership of escalated Level 1 issues, investigating and resolving complex problems while collaborating with users. The position demands strong technical skills in software engineering, particularly in TypeScript or Golang, along with a keen interest in debugging and improving product functionality. Join a dynamic team that values innovation and provides essential support in the technology sector.

Investigate and debug hard problems.

This is an exciting opportunity for a Senior Software Engineer to contribute to groundbreaking AI/ML projects in a remote-friendly environment. You will play a crucial role in developing features that connect backend inference services to user-friendly frontend interfaces within ClickHouse Cloud. The ideal candidate will have extensive experience with TypeScript and React, along with a solid understanding of AI technologies. Join us to drive innovative solutions from concept to production and collaborate with a talented team across the globe.

Create scalable APIs connecting ClickHouse and AI services.

The Senior Analytics Engineer position offers an exciting opportunity to shape data-driven decision-making in a dynamic product-led environment. You will collaborate with cross-functional teams to understand their data needs and translate them into actionable insights. This role emphasizes building robust data models and scalable systems, ensuring data accessibility and reliability. Join a remote-friendly global team and leverage your analytics expertise to drive impactful product strategies and growth initiatives.

Build core data models and dashboards.

This Data Analyst role offers a unique opportunity to work remotely in the automotive sector, focusing on data analysis and reporting. You will write and optimize SQL queries, investigate data discrepancies, and collaborate with teams to deliver insightful BI reports. With 2-4 years of experience and advanced SQL skills, you will play a crucial role in ensuring data integrity and supporting client needs, making it an exciting opportunity to grow within the field.

Audit and standardize external datasets.