Total 3 job vacancies by GBG

Enabling safe and rewarding digital lives for genuine people, everywhere

We make it our mission to ensure more genuine people have digital access to opportunities, and businesses have access to more genuine people. Our technology draws on diverse and reliable data to create a single point of truth for identity and address verification.

With over 30 years of experience behind us our team and technology are focused on enabling safe and rewarding digital lives for everyone. Regardless of age, location or background, genuine people everywhere should be able to digitally prove who they are and where they live.

About the team and role

Global Fraud Solutions

The team provides decision support solutions to address business objectives in risk prevention and fraud detection. We deliver software solutions and offer client support using our expertise and a client-focused approach.

Site Reliability Engineer

The SRE will build and operate the reliability, observability, and operational excellence infrastructure underpinning the GFS managed fraud detection platforms. You will work across deployment pipelines, cloud infrastructure, monitoring, and incident management — ensuring GBG can deliver on high availability SLAs for banking and fintech customers who depend on real-time fraud detection at scale.

What you will do

• Design and operate the SRE practice for Managed oferings, including on-call processes, SLA frameworks, incident response playbooks, and post-incident review (PIR) processes.
• Build and maintain observability infrastructure: centralised logging (correlation IDs), metrics dashboards, distributed tracing, and alerting for the Predator/Instinct platform stack.
• Define and track SLOs (Service Level Objectives) and error budgets for real-time transaction processing pipelines, targeting high TPS and low round-trip latency.
• Manage cloud infrastructure provisioning and configuration using IaC tooling (Terraform, Helm), supporting both AWS/Azure cloud deployments and on-premises customer environments.
• Implement and maintain CI/CD pipelines for GFS solutions (Jenkins, etc.)
• Work with Engineering teams to ensure security and compliance readiness for Managed services — including PCI DSS, ISO 27001, SOC 1/2/3, PDPA/GDPR — in close coordination with InfoSec teams.
• Drive platform resilience improvements: high availability, auto-scaling, disaster recovery, backup/restore procedures, and chaos engineering practices.
• Manage secrets, certificate rotation, identity/access controls (OAuth/RBAC), and vulnerability management for the hosted environment.
• Support performance testing methodology and baseline establishment for our products.
• Contribute to the Architecture Review Committee (ARC) with SRE and operational perspectives on technology choices.
• Collaborate with engineering squads to embed reliability and DevSecOps practices across the SDLC.

Skills we’re looking for

• Minimum 5 years of solid hands-on experience in a Site Reliability, Platform Engineering, or DevOps role, ideally supporting mission-critical real-time processing systems in banking, payments, or fintech.
• Strong proficiency with cloud platforms (AWS preferred; Azure/GCP acceptable) including networking, compute, storage, and managed services.
• Deep expertise with containerisation and orchestration: Docker, Kubernetes (EKS/AKS/GKE), Helm, and associated tooling.
• Infrastructure as Code experience: Terraform (required), and familiarity with Ansible or Pulumi.
• Observability stack proficiency: Prometheus, Grafana, ELK/OpenSearch, Jaeger/Zipkin, or equivalent enterprise-grade tooling.
• CI/CD pipeline design and management: GitHub Actions, Jenkins, ArgoCD, or equivalent.
• Experience with security and compliance frameworks applicable to hosted financial services: PCI DSS, ISO 27001, SOC 1/2/3, GDPR/PDPA.
• Familiarity with database reliability practices for SQL Server, PostgreSQL, and Oracle — including replication, read replicas, and failover.
• Working knowledge of secrets management (HashiCorp Vault, AWS Secrets Manager) and zero-trust identity principles.
• Experience supporting real-time streaming or event-driven architectures (Kafka, RisingWave, or similar) in production environments.
• Scripting and automation proficiency: Python, Bash, or Go for operational tooling.
• Strong sense of operational ownership and accountability — comfortable being on-call and driving incidents to resolution.
• Excellent communication skills — able to produce clear incident reports, runbooks, and architecture documentation for both technical and executive audiences.
• Proactive mindset: identifies reliability risks before they become incidents and champions a culture of blameless post-mortems.
• Collaborative and effective working with software engineers, product managers, and InfoSec teams.
• Continuous improvement orientation — always looking to reduce toil, automate repetitive tasks, and improve platform resilience.
• Flexible and adaptable — able to support a globally distributed product with customers across multiple time zones.

To find out more

As an equal opportunity employer, we are dedicated to creating a diverse and inclusive workplace where everyone feels valued and empowered. Please inform your GBG Talent Attraction Partner if you require any reasonable adjustments to the interview process.

To chat to the Talent Attraction team and find out more about our benefits and why we’re a great place to work, drop an email to behired@gbgplc.com and we’ll be in touch. You can also find out more about careers at GBG and check out our current opportunities at gbgplc.com/careers.   

Enabling safe and rewarding digital lives for genuine people, everywhere

We make it our mission to ensure more genuine people have digital access to opportunities, and businesses have access to more genuine people. Our technology draws on diverse and reliable data to create a single point of truth for identity and address verification.

With over 30 years of experience behind us our team and technology are focused on enabling safe and rewarding digital lives for everyone. Regardless of age, location or background, genuine people everywhere should be able to digitally prove who they are and where they live.

About the team and role

Team - ID3

GBG’s ID3 is a world-leading software-as-a-service product providing identification services to financial institutions, telecommunications providers and other businesses where customer identification is essential. This excellent opportunity will have you working on the ID3 on-line identity product which is used by many of UK and Europe’s most progressive businesses.

QA Engineer

Reporting into the Lead Software Developer, you will champion an automation first testing strategy within the Agile team. You will design, build and maintain automated test frameworks while performing focused exploratory testing to validate new features, investigate defects and ensure broad, meaningful coverage across the product.

What you will do

As part of Agile development teams: 

• Create thorough test scenarios and test cases based on agreed acceptance criteria. 
• Provide advice, especially to the Product Owner, on any gaps in, or issues with, the acceptance criteria from a testing perspective. 
• Perform focused exploratory testing activities, documenting results and creating clear, actionable defect reports (using Jira and Xray). 
• Create and execute automated test scripts and contribute to the maintenance of automated test suites. 
• Assist with the creation, management and execution of test plans for larger feature development activities where needed. 
• Actively contribute to Agile team ceremonies, working to ensure they provide input and value to the team. 
• Actively contribute to quality assurance improvements and initiatives. 
• Provide guidance on QA processes, product knowledge as well as test automation knowledge to the Agile team. 
• Review test automation scripts, as well as monitoring failed test cases and maintain its correctness and efficiency. 

Skills we’re looking for

Technical Skills 

• Strong experience in testing web-based and API-based applications, with a focus on automation-first quality practices. 
• Hands-on experience with modern test automation frameworks such as Playwright, Selenium or Cypress, with the ability to design and maintain scalable UI and API test suites. 
• Experience using API testing tools (e.g., ReadyAPI, Postman, or similar), including creating data‑driven API tests — transferable tooling skills are valued over specific products. 
• Proficiency in building and maintaining automation frameworks using Page Object Model (POM) and data‑driven test design patterns. 
• Knowledge of CI/CD processes and experience integrating automated tests into pipelines such as Azure DevOps or GitHub Actions. 
• Experience with performance testing using JMeter, ideally executed and managed through Azure Load Testing. 
• Strong exploratory testing skills and a solid understanding of risk‑based testing approaches. 
• Excellent analytical skills for reviewing acceptance criteria, identifying test gaps, and ensuring effective test coverage. 
• Experience working within Agile development teams and contributing to continuous quality practices. 
• Familiarity with cloud platforms — experience with Azure is beneficial, and experience with or willingness to learn AWS is advantageous as we transition. 
• Openness to using AI-assisted development and testing tools, including GitHub Copilot, to accelerate analysis, test creation and automation workflows. 

Interpersonal Skills 

• Excellent verbal and written communication skills in English, enabling effective collaboration within cross‑regional Agile teams. 
• A demonstrated ability to work as a team within a fast-paced team. 
• Flexible, resilient and able to change focus on demand. 
• Self-motivated and enthusiastic. 
• Demonstrated ability to learn quickly within a continually changing, challenging environment. 
• Ability to prioritise and to work independently, takes ownership of own workload. 
• Ability to guide or coach team members on QA related skills and knowledge. 
• A focus on thorough software quality and documentation, takes pride in high-quality product releases. 

To find out more

As an equal opportunity employer, we are dedicated to creating a diverse and inclusive workplace where everyone feels valued and empowered. Please inform your GBG Talent Attraction Partner if you require any reasonable adjustments to the interview process.

To chat to the Talent Attraction team and find out more about our benefits and why we’re a great place to work, drop an email to behired@gbgplc.com and we’ll be in touch. You can also find out more about careers at GBG and check out our current opportunities at gbgplc.com/careers.   

About GBG

Enabling safe and rewarding digital lives for genuine people, everywhere

We make it our mission to ensure more genuine people have digital access to opportunities, and businesses have access to more genuine people. Our technology draws on diverse and reliable data to create a single point of truth for identity and address verification.

With over 30 years of experience behind us our team and technology are focused on enabling safe and rewarding digital lives for everyone. Regardless of age, location or background, genuine people everywhere should be able to digitally prove who they are and where they live.

About the team and role

We are looking for a Senior Data Engineering Manager who is deeply hands-on with technology and able to lead from the front. This role will lead teams delivering strategic AI initiatives that enhance and differentiate our Location products, combining large-scale data engineering with applied machine learning and NLP.

You will remain close to design and implementation, acting as a technical authority and coach, while also owning delivery, team health, and alignment to product strategy. This is not a purely managerial role — success requires strong technical judgement, architectural leadership, and the ability to guide teams through complex AI-driven systems in production.

What you will do

Senior Leadership & Organisation Design

• Act as hands-on technical leader for data and AI-driven Location platforms & services
• Set architectural direction for data pipelines, feature stores, and AI inference workflows
• Lead design reviews, make high-impact technical decisions, and unblock complex engineering challenges
• Stay close to code, tooling, and cloud architecture to maintain technical credibility
• Establish best practices for production-grade AI systems (performance, monitoring, reliability)

AI & Location Strategy

• Lead delivery of strategic initiatives applying AI and NLP to Location data and products
• Partner with Product and Domain experts to translate Location use cases into scalable AI solutions
• Guide teams on feature engineering, model integration, and inference at scale
• Balance experimentation velocity with production robustness and long-term maintainability

Platform & Delivery Ownership

• Own end-to-end delivery of data and AI pipelines on AWS
• Ensure systems meet expectations for latency, scalability, cost efficiency, and data quality
• Drive pragmatic technical trade-offs aligned to business priorities
• Define and track metrics for data freshness, model performance, and platform reliability

People Leadership & Team Growth

• Lead, mentor, and develop senior data engineers and applied ML engineers
• Build a culture of strong engineering fundamentals, curiosity, and accountability
• Support hiring and development of high-calibre engineers in Kuala Lumpur
• Create an environment where engineers can do their best technical work and grow

Stakeholder Collaboration

• Work closely with Product, Engineering, and AI stakeholders to shape roadmaps and priorities
• Clearly communicate complex technical topics to non-technical audiences
• Represent data engineering and applied AI in senior forums

Skills we're looking for

Technical

• Strong background in data engineering with applied AI/ML systems in production
• Extensive experience building cloud-native platforms on AWS
• Advanced proficiency in Python, including production data and AI pipelines
• Hands-on experience with NLP frameworks such as spaCy (or similar)
• Strong understanding of data modelling, feature engineering, and scalable inference
• Experience designing low-latency and high-throughput data systems

Leadership

• Proven experience leading engineers while remaining technically hands-on
• Ability to coach teams through complex architectural and implementation decisions
• Strong delivery ownership and bias toward execution
• Excellent communication and stakeholder management skills

Nice to Have

• Experience with geospatial or Location-based data
• Exposure to feature stores, vector search, or retrieval-augmented generation (RAG) systems
• Experience deploying AI models in regulated or high-availability environments
• Familiarity with MLOps practices (model versioning, monitoring, CI/CD)

To find out more

As an equal opportunity employer, we are dedicated to creating a diverse and inclusive workplace where everyone feels valued and empowered. Please inform your GBG Talent Attraction Partner if you require any reasonable adjustments to the interview process.

To chat to the Talent Attraction team and find out more about our benefits and why we’re a great place to work, drop an email to behired@gbgplc.com and we’ll be in touch. You can also find out more about careers at GBG and check out our current opportunities at gbgplc.com/careers.

Unleash your potential and be part of our mission to power safe and rewarding digital lives.