Jobs at Sia Partners

Lead the design and delivery of AI platforms, manage a cross-functional team, and ensure scalable, secure AI services while fostering innovation and collaboration.

The Staff DevOps Engineer will architect and standardize cloud-native platforms, enforce DevOps standards, mentor engineers, and drive reliability practices across multi-cloud environments.

The Generative AI Engineer will develop AI solutions, implement algorithms, manage ML workflows, and ensure scalable product integration for various sectors.

The Platform Engineering Manager will lead teams to design AI platforms, enhance automation and scalability, and foster a strong engineering culture.

Lead CRM transformation and client engagement strategies, ensuring effective use of HubSpot across global teams while driving performance insights and governance.

Responsible for frontend development, enhancing user interfaces with ReactJS, optimizing performance, ensuring cross-browser compatibility, and collaborating with teams. Manage cloud infrastructure using Terraform and Helm while overseeing CI/CD processes.

Develop scalable backend solutions using TypeScript and JavaScript for AI products. Collaborate with cross-functional teams and manage cloud infrastructure.

Supervise a global hybrid L1/L2 IT support team while actively resolving complex incidents, supporting VIP users, managing MDM and device fleets, improving KB/processes, and coordinating worldwide IT deployments.

The Staff GenAI Engineer will lead the development and deployment of AI-driven platforms, focusing on backend systems, cloud-native architecture, and collaboration with data scientists. Responsibilities also include mentoring engineers and managing architectural initiatives.

The Staff Software Engineer will lead backend system architecture, oversee development, mentor other engineers, and enhance system performance and security in a SaaS environment.

The Senior Applied Data Scientist will lead the design and implementation of analytical solutions, translating business requirements into scalable data products while mentoring junior scientists and ensuring model deployment success.

As a Product Manager, you will manage the lifecycle of enterprise AI solutions, aligning product strategy with market needs while collaborating with various stakeholders.

The DevOps Engineer will develop SaaS products, support data projects, manage cloud services, and automate deployments using CI/CD practices.

As a Knowledge Analyst, curate and classify strategic data, utilize AI tools for data processing, and ensure data quality and compliance.

The Talent Acquisition Specialist will lead recruitment for technical and consulting roles, enhance employer branding, and support HR operations and talent mapping.

The Senior Full Stack Engineer will develop and optimize APIs and services using .NET Core/C# and Angular, while managing both backend and frontend components. Responsibilities include engaging clients, deploying applications in cloud environments, maintaining code quality, and contributing to system design.

As a Senior Frontend Engineer, you will enhance user interfaces and collaborate with backend teams on cloud deployments using ReactJS, while ensuring performance optimization and code integrity.

As a Senior Backend Engineer, you will design, develop, and optimize back-end services using Python, integrate AI/ML models, and collaborate with cross-functional teams in a cloud environment.

The Senior QA Engineer is responsible for software design, testing, automation, and ensuring operational stability in an agile environment.

As a Staff Engineer, you will design and deploy AI and ML systems, oversee architecture, and lead technical projects while mentoring other engineers.