Senior AI Engineer
Develop and implement AI solutions by designing proof-of-concepts and translating them into minimum viable products. Collaborate with cross-functional teams to optimize AI models and integrate capabilities into existing systems.
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Develop and implement AI solutions by designing proof-of-concepts and translating them into minimum viable products. Collaborate with cross-functional teams to optimize AI models and integrate capabilities into existing systems.
Develop and maintain robust data pipelines and analytical data models using SSIS, SSAS, and SQL Server. Build reporting solutions with Power BI and SSRS while collaborating with business teams to translate requirements into technical solutions.
The Pre-Sales Engineer will bridge the gap between complex business challenges and technical excellence. You will collaborate with multidisciplinary teams to create intuitive digital products for global clients.
You will design and implement scalable data warehouse solutions while collaborating with an international team to drive data-driven insights. Additionally, you will lead code reviews, suggest process improvements, and manage the full development lifecycle of data pipelines.
You will own the product roadmap, define features, and prioritize work while maintaining a hands-on technical role by writing code and debugging. Additionally, you will manage the end-to-end QA process, release monitoring, and collaborate closely with engineers to ensure maximum throughput.
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You will build and evolve systems that provision, secure, and observe agent environments while designing reliable abstractions for queues and background tasks. You will work closely with product engineers to define infrastructure patterns and ensure the stability of runtime environments.
Build and maintain resilient streaming and batch data pipelines to ingest, normalize, and distribute market and trading data. Develop self-serve tooling and data governance frameworks to ensure high-quality, observable, and performant data products across the organization.
You will lead a high-autonomy team in the technical delivery and architectural direction of AI agents and enterprise applications. You are responsible for maintaining the quality and integrity of both new innovations and existing live systems.
The ServiceDesk Engineer L2 will troubleshoot complex technical issues, including API errors and HTTP flows, while maintaining documentation and playbooks for the team. They will also investigate product bugs, automate routine tasks, and participate in on-call incident management.
The role involves managing service desk reliability through SRE fundamentals, incident resolution, and automation. You will collaborate with engineering and product teams to identify bottlenecks and maintain system performance.
You will define the architecture for the data platform and lead the design of scalable, low-latency pipelines for high-volume payment transactions. Additionally, you will mentor senior engineers and partner with cross-functional teams to ensure data reliability and business value.
The role involves resolving complex IT support requests using AI-assisted tools and managing backend automations via natural language commands. Additionally, the specialist will serve as a primary author for the AI knowledge base to ensure continuous improvement of automated resolution capabilities.
You will own features end-to-end, from database schema to shipped UI, while operating within a high-leverage, agentic development model. You will collaborate with product managers and designers to build scalable, high-performance solutions across the entire product suite.
You will own and extend the backend systems that power SqlDBM's AI capabilities, including AI-assisted data modeling and context-aware intelligence. You will also develop and maintain AI pipelines, API layers for enterprise integration, and Model Context Protocol servers.
The Cloud Engineer will design, deploy, and manage scalable cloud infrastructure using Infrastructure-as-Code and container orchestration tools. They will also be responsible for monitoring system performance, ensuring security compliance, and automating operational tasks across multi-cloud environments.
Design and implement scalable, robust, and secure software architectures while translating business requirements into technical specifications. Manage and deliver software projects effectively within scope, time, and budget constraints.
You will architect context pipelines for AI agents and maintain agent-ready systems to ensure reliable, mergeable code generation. Additionally, you will serve as an AI champion, mentor engineers, and drive the migration from legacy monoliths to microservices.
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This role involves building and managing cloud security programs across AWS, Azure, and GCP, including continuous monitoring and resolving vulnerabilities and misconfigurations. Responsibilities also include developing automation for infrastructure monitoring, evolving secure cloud designs, and building processes for application code security reviews.
The role involves designing and maintaining the global SAP Finance process architecture covering core modules and ensuring process consistency across entities. Key duties include leading continuous improvement for Document & Reporting Compliance (DRC) and global Tax compliance, including e-Invoicing integrations.
The specialist will converse with advanced language models on language scenarios, verify factual accuracy and logical soundness, and capture reproducible error traces related to Alentejano dialect nuances. They will also suggest improvements to prompt engineering and evaluation metrics based on their findings.
Specialists will converse with advanced language models on language scenarios, verify factual accuracy and logical soundness, and capture reproducible error traces related to Nortenho dialect nuances. They will also suggest improvements to prompt engineering and evaluation metrics to harden model reasoning.
This role involves defining and delivering new features for iCapital's software platforms, working closely with Product Management and Design throughout the development lifecycle. Responsibilities include leveraging an Elixir + Phoenix backend on AWS serverless technologies to power a TypeScript + React frontend and designing integrations with other platforms.
The Partner Solution Architect supports technical initiatives for partners, focusing on areas like cloud migration and DevOps transformation, while ensuring successful onboarding, training, and enablement of partner technical resources. They act as a trusted technical advisor, collaborating internally to support partner initiatives and advocating for partner technical concerns to Datadog teams.
The engineer will design and implement robust, scalable, and secure backend services to solve customer problems while actively collaborating with Product Managers on discovery and solution creation. They will also maximize team output by enhancing functionality, addressing technical debt, and improving collaboration.
The Full Stack Engineer will work end-to-end on developing new features, enhancements, and resolving defects across iCapital's software platforms. This involves close collaboration with Product Management to detail requirements, review work in progress, and address testing issues.
The main responsibilities include automating and optimizing deployment and testing pipelines for seamless delivery across environments, and monitoring and maintaining system performance to rapidly troubleshoot operational issues. The role also involves building and maintaining operational tools and implementing cloud, containerization, and Infrastructure as Code (IaC) solutions.
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The engineer will own features end-to-end, from understanding the user problem and architecting the solution to shipping it and monitoring usage across the full stack. They will be expected to shape product decisions and make architectural calls balancing speed with long-term quality.
As a Staff Software Engineer, you will guide project delivery from start to finish while collaborating with clients to understand their needs. You will also define product requirements and support the development of a healthy engineering culture.
The Staff Engineer, Release Management is responsible for overseeing key initiatives of the DevOps/Release Team to ensure high-quality product releases. This includes driving planning and designing effective solutions, mentoring the team, and ensuring compliance with security standards.
As a Software Engineer, you will participate in the development, setup, testing, and implementation of the Warehouse Management System (WMS) software for automated warehouses.
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