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Activate Interactive Pte Ltd (“Activate”) is a leading technology consultancy headquartered in Singapore with a presence in Malaysia and Indonesia. Our clients are empowered with quality, cost-effective, and impactful end-to-end application development, like mobile and web applications, and cloud technology that remove technology roadblocks and increase their business efficiency. We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation. We are searching for our next team members to join our growing team. If you love the idea of being part of a growing company with exciting prospects in mobile and web technologies that create positive impact on people’s lives, then we would love to hear from you. Co-Development Business Unit is looking for Data Engineer (Cloud Logging & Data Platform) This is a 1 - year contract role. Internal Code: A26322 Digital Excellence & Products Division (DXD) is a GovTech team within the Ministry of Education (MOE). DXD sits at the intersection of technology, design, and education, building meaningful products, platforms, and digital services that improve teaching, learning, school operations, and the experience of students, teachers, and school leaders. What will you do? We are looking for a Logging & Data Platform Engineer to design, build, and operate the logging and operational data-platform capabilities supporting the future SSOE platform. You will build the platform that collects, transports, stores, indexes, searches, and serves operational data across MOE's technology environment, spanning on-premise infrastructure, networks, applications, GCC, AWS, Azure, and hybrid environments. As a Logging & Data Platform Engineer, you will build the shared platform capabilities that enable engineering and operations teams to reliably collect and use operational data at scale. You will work across logging, telemetry ingestion, data movement, storage, search, retention, and platform integration. The role requires an engineer who understands both traditional enterprise infrastructure and modern cloud-native architectures and can design solutions that work securely and reliably across environment boundaries. You will work closely with the Observability Engineer on telemetry requirements and with Data Engineering & Analytics on shared data-platform capabilities and integration patterns Logging Platform Engineering Design, build, and operate logging capabilities across on-premise infrastructure, networks, applications, cloud platforms, and hybrid environments Collect logs from servers, network devices, applications, containers, databases, security appliances, cloud services, and other infrastructure sources Build scalable log ingestion, routing, enrichment, storage, indexing, search, and retrieval capabilities Define structured logging standards, schemas, metadata, tagging, and correlation conventions across services Design appropriate retention, archival, lifecycle, and deletion policies for different classes of operational data Support correlation between logs, metrics, events, and traces using common identifiers and telemetry standards Work with the Observability Engineer to implement platform capabilities supporting end-to-end service observability Data Collection & Integration Design secure and resilient data movement between on-premise environments, GCC, and approved external services Implement collection and forwarding patterns appropriate to different infrastructure, application, network, and security environments Design for intermittent connectivity, network constraints, buffering, retry, back-pressure, and recovery between environments Build event-driven and streaming patterns for moving operational data between producers and consumers Integrate legacy and enterprise systems with modern cloud-native platform capabilities Define clear interfaces and integration patterns between logging, observability, data engineering, and application platforms Data Platform Engineering Build shared platform capabilities for ingesting, storing, processing, querying, and serving operational data Design scalable storage and query architectures appropriate to data volume, access patterns, retention requirements, and cost Build ingestion, filtering, enrichment, and transformation pipelines for operational data Provide APIs, query interfaces, or other serving mechanisms for authorised downstream consumers Support operational datasets consumed by the User Portal, dashboards, reporting, automation, and Data Engineering & Analytics Define schemas and data contracts for shared platform interfaces Ensure platform changes remain backwards compatible or are coordinated with downstream consumers Cloud & Platform Engineering Design solutions using cloud-native logging, streaming, storage, search, and data capabilities Build infrastructure and platform configuration using Infrastructure as Code Automate build, test, deployment, configuration, and platform changes through CI/CD Design for scalability, resilience, high availability, recoverability, and operational simplicity Monitor platform capacity, performance, reliability, and cost Security & Governance Enforce MOE and Government data-classification requirements Design secure routing and storage of operational data across security zones and environment boundaries Apply appropriate encryption, access controls, authentication, and authorisation Ensure logging pipelines do not unnecessarily expose credentials, secrets, or sensitive information Implement audit-trail preservation and appropriate retention controls Ensure data-residency requirements are considered when routing operational data between on-premise, GCC, cloud, and SaaS environments Participate in security, architecture, and operational-readiness reviews Reliability & Operations Define SLOs and operational health indicators for logging and data-platform services Build monitoring, alerting, failure detection, retry, and recovery into platform components Monitor ingestion health, processing latency, data loss, storage utilisation, search performance, and platform availability Participate in incident investigation, root-cause analysis, and post-incident reviews Participate in operational support and on-call responsibilities for owned services Maintain architecture documentation, operational procedures, and runbooks What are we looking for? Minimum 3–5 years of experience in cloud engineering, platform engineering, DevOps, SRE, logging engineering, data platform engineering, or a related discipline At least 2 years of hands-on experience building or operating production logging, telemetry, or data-platform capabilities Demonstrated experience working with AWS and/or Azure cloud-native services Experience integrating on-premise and cloud environments, or operating systems in a hybrid environment Experience with production data ingestion, streaming, routing, storage, indexing, or search platforms Experience implementing Infrastructure as Code and CI/CD for production environments Experience designing systems for scalability,
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.
