Sr. Infrastructure Engineer
Architect and evolve highly available, fault-tolerant infrastructure to support global payment systems. Lead incident response, automate operational tasks, and drive reliability initiatives across engineering teams.
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Architect and evolve highly available, fault-tolerant infrastructure to support global payment systems. Lead incident response, automate operational tasks, and drive reliability initiatives across engineering teams.
The Senior Data Analyst will own SQL-heavy analytics, reporting, and data structuring across multiple gaming brands. Responsibilities include developing Tableau dashboards, modeling data in ClickHouse, and providing actionable insights to cross-functional teams.
The Quality Assurance Analyst is responsible for ensuring customer interactions meet business standards and guidelines. They will identify common issues, improve customer experience, and provide feedback to trainers and managers to enhance support processes.
You will own features end-to-end, working directly with the CEO to turn ambiguous ideas into concrete products. You are expected to challenge assumptions, push back on PRDs, and build high-quality user experiences.
Lead initiatives to enhance vector similarity search functionality within the Elasticsearch platform. Collaborate with a globally distributed team to design, implement, and maintain high-performance search features.
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You will design, build, and maintain high-performance, scalable .NET applications while owning features from architectural design to deployment. You will also collaborate with cross-functional teams to ensure system quality, observability, and adherence to clean coding standards.
You will own the reliability, scalability, and automation of machine-learning pipelines while managing the end-to-end ML lifecycle. This includes containerizing services, deploying on AWS, and improving observability through logging and metrics.
Lead initiatives to enhance vector similarity search functionality within Elasticsearch and contribute to the development of new search features. Collaborate with a globally distributed team to improve search relevance, resolve bugs, and optimize performance.
Lead initiatives to enhance Elasticsearch search engine performance and relevance, specifically focusing on vector search capabilities. Contribute to the codebase by building new features, resolving bugs, and collaborating with a globally distributed team.
Lead initiatives to improve search engine speed and relevance while contributing to the development of new features in Elasticsearch. Collaborate with a globally distributed team to resolve complex bugs and optimize search algorithms using modern Java.
The Data Analyst will support global data initiatives by analyzing and improving multilingual text classifiers and developing parsers. They will also translate key taxonomies and perform data cleaning using Excel and other analytical tools.
The Agentic AI Architect will design, deploy, and maintain scalable enterprise AI solutions, including agentic workflows and generative AI applications. They will lead technical discovery and architecture workshops while collaborating with stakeholders to integrate AI with ServiceNow and enterprise data systems.
Develop data science code and statistical methodologies to support media product development and innovation. Partner with cross-functional teams to build analytical solutions and communicate findings to internal and external stakeholders.
The Inside Business Developer is responsible for scouting and contacting new business leads to build a portfolio of medium to large-sized clients. They will promote company services through outbound activities such as emails and LinkedIn outreach to drive growth.
The Quality Assurance Analyst is responsible for ensuring customer interactions meet business standards and guidelines. They identify common issues and collaborate with trainers and managers to improve agent performance and customer experience.
Review and verify AI-generated transcripts for accuracy, consistency, and adherence to project guidelines. Identify and correct issues related to formatting, punctuation, capitalization, and text normalization.
Collaborate across scientific and engineering disciplines to develop and deliver innovative audio software solutions for consumer products. Create clean, readable code while debugging complex problems and prioritizing tasks based on impact and urgency.
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Develop and evolve the UI for a complex AI IDE by building interactive components and workflows. Collaborate with backend and AI engineers to integrate interfaces with underlying systems while ensuring high performance and visual polish.
You will lead architectural and code-level performance engineering initiatives to optimize Elasticsearch for scale and predictability. This involves profiling system behavior, driving optimization strategies, and mentoring engineers to embed performance-first thinking across the organization.
The role involves programming, validating, and delivering NONMEM-ready PK/PD datasets while ensuring compliance with SDTM/ADaM standards. The candidate will collaborate with cross-functional teams to resolve data issues and support regulatory submissions through high-quality dataset creation.
The engineer will write clean, testable code and collaborate with the team to automate deployments and deliver high-quality web and mobile applications. They will also participate in code reviews and work closely with the project manager to estimate tasks and document infrastructure.
You will build and maintain developer-facing surfaces including language clients, CLI tools, and MCP servers to integrate Elastic into the AI ecosystem. You will also collaborate with product teams and external partners to design and deliver high-quality integrations backed by rigorous evaluation.
You will architect robust Salesforce solutions and lead the design of complex ERP integrations to meet long-term business goals. Additionally, you will provide technical consultancy to clients and oversee release management through CI/CD pipelines.
Lead the development and deployment of end-to-end Salesforce solutions using configuration and customization. Collaborate with stakeholders and architects to deliver scalable solutions across various Salesforce clouds.
Develop end-to-end Salesforce solutions using configuration and customization while automating business processes. Participate in agile scrum meetings to analyze user stories and ensure code quality through reviews and testing.
Design, develop, and optimize low-latency, mission-critical trading systems while owning key components from architecture to production. Collaborate with quants and traders to improve trading performance, resilience, and operational excellence.
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You will design, build, and maintain scalable data pipelines and infrastructure to ensure high-quality data availability for analytics and decision-making. Additionally, you will implement MLOps automation and ensure secure, compliant data handling across the organization.
You will define the reliability strategy and standards for Yuno's AI agent infrastructure, driving architectural decisions and implementing event-driven communication. Additionally, you will lead incident management, mentor engineering teams, and build robust observability and resilience testing frameworks.
The Data Engineer will own and deliver data engineering tasks, integrations, and marketing systems while troubleshooting pipeline and data quality issues. They will collaborate cross-functionally to transform data across various platforms and support payment orchestration flows.
You will lead the in-house machine learning and AI agent development while managing a team of engineers and developers. The role involves overseeing the full lifecycle of AI/ML systems and collaborating with the CTO and CEO on technical strategy.
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