Senior Manual Tester at NRB

• Design test scenarios/cases for functional, integration, usability, and performance testing based on business and technical requirements
• Maintain existing test suite (manual)
• Build test plan, perform test execution, report issues, and perform quality checks after issue resolution
• Participate in manual regression testing
• Participate in user stories clarification
• Reviews test scenarios, scripts, and test data developed by other team members
• Document testing activities (management of test execution results in test management tool, contribute to creation of test reports and quality assurance metrics)

• Proven experience in a testing environment
• 7 years od experience using test management/tracking tools
• Ability to document and troubleshoot errors
• Knowledge of SQL and relational databases
• Test/QA certifications (ISTQB)
• Strong organizational and time management skills
• Excellent communication skills in English
• Degree/diploma in Computer Engineering, Computer Science, or related field
• Experience in the lending domain (asset)

What you’ll do

• Partner with Account Executives to drive technical sales cycles and customer outcomes
• Lead customer workshops, discovery sessions, and technical deep-dives across multiple stakeholders
• Build and deliver proof-of-concepts, demos, and solution prototypes using real data
• Translate business requirements into practical, scalable data and AI solutions
• Act as a trusted advisor, while also being able to go hands-on to validate solutions end-to-end
• Work through technical challenges with customers, iterating and resolving issues as they arise
• Contribute reusable assets, patterns, and best practices that accelerate adoption across customers

What we’re looking for

Customer-facing mindset

• Experience working with customers in a presales, consulting, or advisory capacity
• Ability to communicate complex topics to both technical and non-technical audiences
• Comfortable leading discussions that connect business goals to technical decisions

Hands-on technical foundation

• Experience with Python (or similar) and familiarity with distributed data processing and compute and working with large-scale datasets
• Understanding of data pipelines and modern data architectures
• Ability to work practically with data (e.g. building PoCs, exploring datasets, troubleshooting)
• Comfortable reasoning through code, explaining how it works, and adapting it when things don’t behave as expected

Data & AI understanding

• Familiarity with analytics, data science, or machine learning workflows
• Understanding of how data platforms support AI use cases (e.g. feature pipelines, model training, inference)
• Interest in modern AI capabilities, combined with an understanding of how they operate on real data systems

Architecture & platform understanding

• Familiarity with cloud platforms and data technologies
• Ability to design solutions that consider scalability, performance, reliability, and data volumes
• Awareness of trade-offs in architecture decisions and ability to adapt designs based on constraints

What makes you successful in this role

• You are comfortable switching between business dialogue and technical execution
• You don’t just describe solutions — you can build, validate, and iterate on them in practice
• You take ownership of technical challenges and push problems forward, even when things are not working as expected
• You apply structured thinking in discovery and can connect requirements to scalable technical solutions
• You understand that AI solutions depend on solid data foundations
• You are curious and continuously deepen your technical expertise

What You’ll Be Doing

• Design, build, and operate highly scalable, reliable, and secure infrastructure powering our production systems across AWS and GCP.
• Lead major reliability and modernization initiatives, including container platform migrations (e.g., ECS to EKS/GKE) and microservice enablement across multi-cloud environments.
• Serve as a technical authority in Kubernetes (EKS and GKE), cloud infrastructure (AWS and GCP), and modern CI/CD practices (GitOps, automation pipelines).
• Partner with development teams to architect and enable microservice-based applications, ensuring production readiness, scalability, and observability.
• Implement and manage infrastructure as code (Terraform, Ansible) to automate provisioning, scaling, and configuration management across multiple cloud providers.
• Drive improvements in observability, performance, and cost efficiency through robust monitoring, logging, and alerting systems that span AWS and GCP.
• Champion SRE best practices — defining SLOs/SLIs, conducting blameless postmortems, and continuously improving incident response.
• Lead complex technical projects from conception to completion, managing timelines, and technical dependencies across teams.
• Mentor engineers across teams, fostering a culture of reliability, automation, and continuous learning.
• Collaborate with security and compliance partners to ensure infrastructure adheres to best practices and standards (e.g., IAM Federation, Workload Identity).
• Participate in the on-call rotation, using incidents as learning opportunities to enhance systems and processes.

What You’ll Bring to the Role:

• Strong hands-on experience architecting and operating cloud-native distributed systems (AWS and GCP).
• Deep expertise with Kubernetes (EKS and GKE) — design, provisioning, scaling, and advanced troubleshooting in production.
• Proven experience leading ECS to EKS/GKE migrations and driving microservice enablement initiatives at scale.
• Proficiency with Infrastructure as Code tools such as Terraform (multi-provider), Ansible, or CloudFormation.
• Solid coding and scripting ability in Python, Go, or Shell, with a focus on automation, tooling, and operational excellence.
• Advanced understanding of CI/CD pipelines (ArgoCD, GitLab CI, Spinnaker), Linux systems, and networking fundamentals (Direct Connect/Interconnect, DNS, routing, load balancing).
• Experience managing databases and caching systems (e.g., RDS/Cloud SQL, Redis/Memorystore, PostgreSQL, MySQL) in cloud environments.
• Hands-on experience with observability tools (Prometheus, Grafana, ELK, Loki, OpenTelemetry, Google Cloud Operations) for performance and reliability insights.
• Working knowledge of container security, secrets management (HashiCorp Vault, AWS Secrets Manager, Google Secret Manager), and compliance in production environments.
• Strong communication and problem-solving skills, with demonstrated success leading cross-team projects and mentoring peers.

• 8+ years in SRE, DevOps, or Infrastructure Engineering roles.
• 3–5 years of experience with Kubernetes (EKS/GKE) and related ecosystem tools (Helm, Karpenter, etc.) in production.
• 3–5 years of experience with AWS and GCP.
• 3–5 years using Terraform to manage multi-cloud infrastructure.
• 5+ years of coding experience in Python, Go, or similar languages.
• Proven track record leading high-impact projects, specifically migration projects (ECS → EKS/GKE) and enabling microservice architectures.
• Experience implementing SLOs/SLIs, performing root cause analyses, and improving operational resilience.
• Prior work in SaaS or high-scale, cloud-native environments is a strong plus.
• Strong Linux and security fundamentals.
• Bachelor’s degree in Computer Science or equivalent hands-on experience.

• Supporting Your Well-Being
• Driving Social Impact
• Developing Talent and Fostering Connection + Community

• Comprehensive training in essential data tools including Excel, SQL, Python, Tableau, and Power BI
• Opportunity to earn three official certifications: Microsoft Azure Data Fundamentals, Microsoft Power BI Data Analyst Associate, and Microsoft Azure AI Fundamentals
• Hands-on real-world project experience to build your professional portfolio
• Participation in a career programme designed for job readiness and guaranteed placement upon completion

• A strong curiosity and eagerness to learn about data analysis
• Excellent communication skills to effectively convey insights
• A willingness to transition into a demanding and rewarding data-driven role
• No prior tech-job or data background is required

• A guaranteed job offer upon successful completion of the programme
• Refund of course fees if a job offer is not secured after completion
• Industry-recognised certifications to boost your professional credentials
• Practical, real-world experience to enhance your CV and employability

• WFH
• Weekday basic
• Statutory Included
• 薪资RM10k
• 需要精通华文英文
• 有自己的电脑和网络
• 自动自发 独立完成任务
• Build infrastructure经验为主

What You’ll Be Doing

• Design, build, and operate highly scalable, reliable, and secure infrastructure powering our production systems across AWS and GCP.
• Lead major reliability and modernization initiatives, including container platform migrations (e.g., ECS to EKS/GKE) and microservice enablement across multi-cloud environments.
• Serve as a technical authority in Kubernetes (EKS and GKE), cloud infrastructure (AWS and GCP), and modern CI/CD practices (GitOps, automation pipelines).
• Partner with development teams to architect and enable microservice-based applications, ensuring production readiness, scalability, and observability.
• Implement and manage infrastructure as code (Terraform, Ansible) to automate provisioning, scaling, and configuration management across multiple cloud providers.
• Drive improvements in observability, performance, and cost efficiency through robust monitoring, logging, and alerting systems that span AWS and GCP.
• Champion SRE best practices — defining SLOs/SLIs, conducting blameless postmortems, and continuously improving incident response.
• Lead complex technical projects from conception to completion, managing timelines, and technical dependencies across teams.
• Mentor engineers across teams, fostering a culture of reliability, automation, and continuous learning.
• Collaborate with security and compliance partners to ensure infrastructure adheres to best practices and standards (e.g., IAM Federation, Workload Identity).
• Participate in the on-call rotation, using incidents as learning opportunities to enhance systems and processes.

What You’ll Bring to the Role:

• Strong hands-on experience architecting and operating cloud-native distributed systems (AWS and GCP).
• Deep expertise with Kubernetes (EKS and GKE) — design, provisioning, scaling, and advanced troubleshooting in production.
• Proven experience leading ECS to EKS/GKE migrations and driving microservice enablement initiatives at scale.
• Proficiency with Infrastructure as Code tools such as Terraform (multi-provider), Ansible, or CloudFormation.
• Solid coding and scripting ability in Python, Go, or Shell, with a focus on automation, tooling, and operational excellence.
• Advanced understanding of CI/CD pipelines (ArgoCD, GitLab CI, Spinnaker), Linux systems, and networking fundamentals (Direct Connect/Interconnect, DNS, routing, load balancing).
• Experience managing databases and caching systems (e.g., RDS/Cloud SQL, Redis/Memorystore, PostgreSQL, MySQL) in cloud environments.
• Hands-on experience with observability tools (Prometheus, Grafana, ELK, Loki, OpenTelemetry, Google Cloud Operations) for performance and reliability insights.
• Working knowledge of container security, secrets management (HashiCorp Vault, AWS Secrets Manager, Google Secret Manager), and compliance in production environments.
• Strong communication and problem-solving skills, with demonstrated success leading cross-team projects and mentoring peers.

• 8+ years in SRE, DevOps, or Infrastructure Engineering roles.
• 3–5 years of experience with Kubernetes (EKS/GKE) and related ecosystem tools (Helm, Karpenter, etc.) in production.
• 3–5 years of experience with AWS and GCP.
• 3–5 years using Terraform to manage multi-cloud infrastructure.
• 5+ years of coding experience in Python, Go, or similar languages.
• Proven track record leading high-impact projects, specifically migration projects (ECS → EKS/GKE) and enabling microservice architectures.
• Experience implementing SLOs/SLIs, performing root cause analyses, and improving operational resilience.
• Prior work in SaaS or high-scale, cloud-native environments is a strong plus.
• Strong Linux and security fundamentals.
• Bachelor’s degree in Computer Science or equivalent hands-on experience.

• Supporting Your Well-Being
• Driving Social Impact
• Developing Talent and Fostering Connection + Community

• Which task(s) you want.
• Direct links to your work (IG/YouTube for curators; live website URLs for designers) = Show me you are a creative professional.
• Confirmation you can start immediately to hit the 6-hour bonus.