DevOps Engineer, Cloud Infra
Manage and optimize cloud infrastructure while handling production incidents and system stability improvements. Leverage AI frameworks and LLMs to automate infrastructure operations and enhance observability.
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Manage and optimize cloud infrastructure while handling production incidents and system stability improvements. Leverage AI frameworks and LLMs to automate infrastructure operations and enhance observability.
Design and implement cross-platform mobile features for Android and iOS using C++, focusing on browser kernels and game engines. Integrate and optimize on-device AI capabilities, including LLMs and intelligent agents, while ensuring high performance and stability.
Collaborate with cross-functional teams to design, maintain, and execute comprehensive test plans and automated scripts for backend systems. Lead big data QA testing, performance and security assessments, and drive continuous improvement in release processes.
The Senior Data Scientist will partner with product and security teams to develop data strategies and AI-driven solutions for anti-abuse and safety. They are responsible for delivering quantitative insights, building measurement frameworks, and collaborating on product development to ensure platform integrity.
Build and maintain production-grade full-stack applications using React, Node.js, and TypeScript. Manage backend services, database schemas, and system architecture while collaborating with the team on technical decisions.
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You will design and deliver features for the Polyant AI agent platform, managing everything from data models and APIs to user interfaces and deployment pipelines. Additionally, you will develop agent capabilities such as tool execution, memory, and retrieval while ensuring platform reliability and security.
The Lead Analyst will design, configure, and implement Workday solutions while driving AI-enabled automation across HR platforms. They will also provide technical leadership, mentor team members, and manage project lifecycles to ensure data integrity and process efficiency.
The Sales Engineer will lead technical sales presentations, demos, and proof of concepts while building strong relationships with partners and customers. They will also provide technical expertise, support sales teams, and drive partner enablement through training and guidance.
The developer will utilize AI tools like Claude Code daily to design, review, debug, and maintain high-quality software. They are responsible for validating and correcting AI-generated code while maintaining full technical ownership of the production projects.
You will design, build, and maintain scalable AWS infrastructure and Kubernetes clusters to support machine learning workflows. Additionally, you will develop internal developer tools and enhance platform observability, security, and CI/CD pipelines.
You will contribute to the Airis climate risk management platform by developing APIs, data flows, and new modules for electricity providers. You will also manage cloud infrastructure, maintain CI/CD pipelines, and collaborate with the team using AI-assisted development tools.
The Business Developer will build key client relationships, identify commercial opportunities, and actively develop new business. They are responsible for managing and retaining active clients while maintaining a robust sales pipeline to meet targets.
You will own the end-to-end lifecycle of financial market data, including ingestion, modeling, and real-time processing for trading and AI products. You will also collaborate with cross-functional teams to ensure data quality, consistency, and scalability across the global financial ecosystem.
You will own the reliability, scalability, and automation of cloud-native infrastructures while acting as the primary architect for CI/CD pipelines. Additionally, you will implement robust monitoring, security best practices, and mentor engineering teams on DevOps methodologies.
Design, build, and deploy production-ready AI agents and agentic workflows using frameworks like LangGraph and CrewAI. Orchestrate autonomous systems by connecting AI capabilities to enterprise data sources and tools via RAG and Model Context Protocol.
You will architect and develop enterprise-grade backend services and web APIs while optimizing complex data layers and ORM integrations. Additionally, you will lead technical research and collaborate within an Agile Scrum POD to deliver high-performance, maintainable .NET solutions.
The Junior Software Engineer will assist in the design, development, and installation of software solutions while working as an integrated team member. Responsibilities include writing code, documenting functionality, and ensuring compliance with project plans and industry standards.
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The IT Business Analyst will manage projects end-to-end, from requirement gathering to production release. They will act as a bridge between business stakeholders and technical teams to ensure functional and organizational objectives are met.
The Partner Solutions Architect supports technical initiatives for partners, including cloud migration and DevOps transformation. They are responsible for onboarding, training, and enabling partner technical resources to ensure successful adoption of the Datadog platform.
Own the end-to-end AI video production process from initial concept and prompting to final editing and delivery. Develop and refine AI workflows to maintain character and style consistency across sequences for the R&D team.
Own the end-to-end AI video production process from initial concept and prompting to final editing and delivery. Develop advanced prompting workflows and optimize AI-first content pipelines while maintaining visual and narrative consistency.
Manage application configurations on existing Kubernetes clusters and maintain deployment pipelines within Azure DevOps. Collaborate with development and architecture teams to integrate banking systems, Salesforce, and legacy components.
The Senior Data Engineer will design and maintain scalable data pipelines and architectures to ensure reliable data ingestion and transformation. They will also collaborate with stakeholders to define data models and mentor junior team members.
Design, build, and maintain scalable production data pipelines while ensuring data quality and standardization. You will take end-to-end ownership of technical solutions and work closely with a small international team to drive data platform performance.
Design, develop, and maintain scalable ERP solutions within the Microsoft Dynamics 365 Finance & Operations ecosystem. Collaborate with functional consultants and business stakeholders to translate requirements into high-quality technical solutions.
The engineer will modernize core product systems by developing a new React Native mobile application and maintaining existing PHP web applications. They will collaborate with cross-functional teams to troubleshoot production issues, implement new features, and ensure system stability.
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Design and implement scalable recommender systems while managing machine learning pipelines for data processing and model deployment. Collaborate with cross-functional teams to integrate models into production and continuously monitor their performance to meet business objectives.
Lead and manage complex consulting projects from inception to completion while collaborating with clients to design innovative technical solutions. Provide hands-on implementation, configuration, and troubleshooting support while mentoring junior team members.
You will contribute to the development of the Airis risk management platform, focusing on backend services, API development, and DevOps processes. You will also collaborate with the team using pair programming and AI-assisted tools to maintain high-quality, production-grade code.
The Temporary Manager will coordinate IT transformation and system integration programs while ensuring alignment between IT and business functions. They are responsible for managing project plans, milestones, risks, and budgets while facilitating decision-making among international stakeholders.
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