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DevOps Engineer III
Owns end-to-end L3 DevOps support for cloud and edge systems, automates deployments with GitOps/IaC, and builds monitoring/alerting to keep Kubernetes clusters stable and observable.
DevOps Engineer
Design and maintain Kubernetes (EKS) and AWS cloud platforms, automate CI/CD with GitHub Actions/Harness, and improve observability using Datadog for a secure, regulated tech environment.
Senior DevOps Engineer
Build and secure cloud-native platforms on GCP to host and orchestrate AI agents at scale, focusing on CI/CD, Kubernetes, IaC, and platform reliability for a telecom’s AI transformation.
Platform Architect
Design and secure dLocal’s global cloud and hybrid network perimeter, including WAFs, firewalls, load balancers, and VPNs, while automating infrastructure with Terraform.
Senior DevOps Engineer
Own and scale Newton Research’s multi-cloud Kubernetes platform, deploying AI-powered media workflows across AWS, Azure, and GCP with GitOps, Terraform, and observability tooling.
Senior Fullstack Engineer (Backend-focused)
Build and scale enterprise-grade web apps and APIs using Node.js, TypeScript, React/Angular, PostgreSQL, and Redis, with AI tools like Copilot to accelerate development.
Senior Data Engineer - Joint Intelligence Command
Design and build secure, scalable data pipelines and cloud-native platforms for Singapore’s defence intelligence, using Kafka, PostgreSQL, and Kubernetes.
Senior Data Engineer – On-Prem Data Platforms & Kafka
Designs and builds on-prem Kafka and PostgreSQL data platforms for intelligence operations, creates resilient pipelines and APIs, and applies GitOps/IaC in Kubernetes.
Senior Data Engineer - Joint
Design and maintain scalable data platforms for intelligence operations, building cloud-native pipelines and APIs in on-premises environments using Kafka, PostgreSQL, and Kubernetes.
Software Engineer – Python / Data Operations Engineering
Build and improve data platforms and automation for a global financial firm, using Python and modern data tools to enhance reliability and observability of investment-critical workflows.
Senior Data Engineer - Joint
Designs and maintains cloud-native data platforms and pipelines for intelligence operations, using Kafka, PostgreSQL, Kubernetes, and event-driven architectures.
Software Engineer – AI and Data
Builds and maintains backend services and data pipelines that power AI, media, and scientific platforms, focusing on distributed systems, geospatial data, and cloud-native infrastructure.
Software Engineer, AI Infrastructure & Operations, AI Practice
Build and maintain secure, scalable AI infrastructure for Singapore’s government, automating ML pipelines, optimizing LLMs, and enforcing compliance standards.
Senior Backend Platform Engineer - Citizen Developer Infra
Build and maintain the internal platform that lets non-engineers create and run workflows, focusing on Kubernetes, GitOps, and multi-tenant reliability.
Senior Backend Engineer, Gitlab Delivery: Runway (Platform Engineering)
Senior engineer building and operating GitLab’s Kubernetes-based platform, GitOps workflows (ArgoCD), and infrastructure-as-code (Terraform) to power GitLab’s engineering org.
Senior Frontend Engineer (Angular)
Build and maintain a pre-trade Angular frontend for Rates sales, implementing RFQ workflows, real-time pricing, and deal validation while collaborating with traders and business analysts.
Senior Global Data & AI Infra DevOps Engineer
Own and scale Airwallex’s global cloud infrastructure from Singapore, designing DevOps strategy and ensuring reliability, security, and performance with Kubernetes, Terraform, and GitOps.
Senior Java Developer
Builds and maintains enterprise Java applications using Spring Boot, microservices, and DDD; deploys via Kubernetes and GitOps while writing BDD tests.
Senior AWS Cloud DevOps Engineer – Financial Markets
Design and maintain AWS cloud infrastructure and Kubernetes clusters for financial applications using IaC, GitOps, and CI/CD pipelines.
Data DevOps Engineering Lead
Lead the Data DevOps team in Singapore to build and maintain scalable data infrastructure using Kubernetes, Terraform, and GitOps, while enabling self-service capabilities for engineers.