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, resilience, security, and operational support
Treats infrastructure, platform configuration, logging pipelines, and schemas as version-controlled engineering artefacts
Uses Infrastructure as Code and CI/CD for repeatable and auditable platform changes
Designs systems for failure, retry, buffering, scalability, observability, and recovery
Understands the operational and cost implications of high-volume logging and telemetry
Designs reusable platform capabilities rather than one-off solutions for individual applications
Defines clear schemas, interfaces, and ownership boundaries between producers and consumers
Applies backwards-compatible changes and coordinates changes that may affect downstream systems
Automates repeatable operational processes rather than relying on manual procedures
Balances technical excellence with pragmatic delivery and operational sustainability
Experience with Singapore Government platforms such as TechPass, SHIP-HATS, SEED, and GCC
AWS or Azure cloud certifications
Experience operating large-scale or high-volume logging platforms
Experience with OpenTelemetry and modern telemetry collection patterns
Experience designing platforms spanning data centres and public cloud environments
Experience with event-driven and streaming architectures
Experience migrating or integrating traditional enterprise logging platforms with cloud-native servicesAWS/Azure-native logging, streaming, storage, search and data services
Enterprise servers, networks, applications, databases, virtualised infrastructure, and log sources
Structured logging, log collection, routing, enrichment, correlation, indexing, search, and retention
Terraform / OpenTofu, Ansible or equivalent
GitLab CI/CD, SHIP-HATS or equivalent automated deployment practices
Python, PowerShell, Bash or equivalent scripting and automation
Docker and containerised/cloud-native workloads

What do we offer in return

Competitive Compensation: Market competitive salary and variable performance bonus aligned to your skills, impact, and contribution.

Benefits: Outpatient medical, specialist medical coverage and generous customisable flexi benefits, or flexi allowance life and health insurance, thoughtful perks like special occasions red packet and CNY goodies, etc.

Employee Wellness: Support for your physical, mental, and overall well-being through year-round initiatives.

Growth & Development: Learning programmes, certification support, and a dedicated staff development budget. (We are a SHRI 2025 Gold winner in Learning & Development Coaching & Mentoring)

Career Progression: Structured career pathways that enable you to grow along a technical/domain expert track or a leadership track.

Competency Framework: A structured and practical framework to support you to develop, perform, and succeed.

Flexible Work Arrangement: Staff may choose to work flexi-place, flexi-time, and flexi-load based on existing framework

Why you'll love working with us

If you are looking for opportunities to collaborate with leading industry experts and be surrounded by highly motivated and talented peers, we welcome you to join us. We provide all employees with equal opportunities to grow and develop with us. We believe your success is our success.

Does it sound like something you are interested in exploring further Please be in touch with our team for an initial chat.

Activate Interactive Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Activate Interactive Pte Ltd does not discriminate in employment opportunities or practices on the basis of race, colour, religion, gender, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Activate Interactive Pte Ltd.

Your personal data will be processed for the purposes of managing Activate Interactive Pte Ltd's recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice () to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.

Data Engineer (Cloud Logging & Data Platform) - A26322