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As a Data Engineer , you will be responsible for developing and maintaining scalable data pipelines, integrating multiple data sources, and ensuring high-quality data processing for analytics, reporting, and machine…
We're looking for a detail-oriented and analytical System Engineer with expertise in Red Hat Enterprise Linux (RHEL) to join our organization in Singapore. In this role, you will be responsible for designing,…
Designs, deploys, and maintains scalable infrastructure across on-premises and cloud environments in Singapore, including Infrastructure as Code (Terraform/Ansible), CI/CD pipelines, virtualization, Docker/Kubernetes, monitoring, and Linux/Windows server administration. Requires 3+ years in systems administration or infrastructure engineering.
We are looking for an AI Developer to play a key role in building our agentic reasoning engines. You will own the intelligent layer of our bespoke enterprise system, ensuring our AI agents are reliable, secure, and…
Provide support and facilitate solution team comprising of technical presales, competency / practice towers subject-matter-expert (SME), product principal, and solution partners in proposing innovative end-to-end ICT…
Cloud Platform Engineer developing and managing AWS cloud infrastructure (CloudFormation, Terraform, IaC, CI/CD, DevSecOps) and providing production support for a large-scale customer environment in Singapore.
Cloud Platform Engineer responsible for developing, implementing, and managing AWS cloud infrastructure—including CI/CD pipelines, Infrastructure as Code via CloudFormation, and production maintenance—within an agile, cross-functional team supporting a large customer cloud environment.
Designs and leads secure, scalable Gen AI applications across frontend, backend, cloud, and agentic AI layers, setting architecture direction, mentoring teams, and ensuring production-ready solutions using RAG, LLMOps, and multi-cloud platforms.
This role involves architecting and managing cloud infrastructure for AI solutions, ranging from proof-of-concept environments to production-grade systems. The engineer will work across AWS, Azure, and GCP to deploy secure, scalable infrastructure and integrate generative AI models.
Senior DevOps Engineer owning Azure platform and Kubernetes security, reliability, and delivery—automating infrastructure-as-code, CI/CD pipelines, and cloud security posture for a Video Intelligence product.
Forward Deployed Engineer designing, building, and supporting AI applications on multi-cloud platforms (GCP, AWS, Azure), using services like Bedrock, Gemini Enterprise, Kubernetes, and Terraform with strong emphasis on LLMOps and Agentic Workflows.
Build AI-powered middleware tools and reusable assets (RAG assistants, MCP-based agents) while contributing to enterprise integration, API gateways, and observability solutions in an Agile team.
Intern assisting with AI-powered internal apps, CI/CD pipelines, Kubernetes deployments, and enterprise architecture documentation in a cloud-based environment using Azure and .NET.
Entry-level role deploying and configuring Tenable and Rapid7 vulnerability management platforms, scanning infrastructure, and assisting with cloud security integrations under supervision.
Build and secure cloud infrastructure on AWS, automate deployments with CI/CD, and maintain reliability for a DevSecOps team supporting hundreds of servers.
Designs and maintains scalable data pipelines on Databricks and cloud platforms, integrating diverse sources to support analytics and ML workloads in a collaborative enterprise environment.
Owns secure-by-default Azure and Kubernetes infrastructure, automating everything-as-code while partnering with teams to enable fast, secure deployments.
Designs, automates, and secures cloud infrastructure on AWS/Azure, using IaC and CI/CD pipelines to maintain reliable, scalable systems for enterprise clients.
Junior Data Scientist builds and deploys machine learning models to solve business problems, working with stakeholders to translate needs into technical solutions using Python, ML frameworks, and MLOps tools.
Design, develop, maintain, and support large-scale enterprise single-sign-on applications using java with a strong focus on performance, availability, security, and resilience. Collaborate closely with architects,…