Full Time Senior DevOps Engineer Jobs, in PayNet (Payments Network Malaysia) Federal Territory - Maukerja

Why PayNet / Why Now

• Contribute to national critical infrastructure operating at increasing scale and complexity
• Do work with impact beyond a single organisation as PayNet’s role in the ecosystem expands
• Join an organisation focused on resilience, reliability, and stability as core operating standards
• Make decisions and contributions that matter at national scale

TL;DR

• Own the backbone of PayNet’s data platform — from ingestion to governance
• Drive high-quality, scalable pipelines across AWS and streaming systems
• Enable faster, reliable insights for Data Scientists, Analysts, and business stakeholders
• Make critical design trade-offs on performance, security, and scalability

Why This Role Matters

• Data reliability directly impacts financial decisions, compliance, and trust in national payment systems
• Poor pipeline design creates downstream risk, delays, and data inconsistency at scale
• Strong judgment is required to balance speed, cost, security, and governance across complex ecosystems
• The right hire unlocks faster analytics, better decisions, and stronger regulatory alignment

What You Will Actually Do

• Own the design and evolution of scalable, fault-tolerant data pipelines across streaming and batch systems
• Shape ingestion frameworks connecting diverse databases into a governed data lake and warehouse ecosystem
• Drive platform-level decisions on storage, partitioning, performance tuning, and cost optimization
• Build and enforce data quality, validation, and observability standards across pipelines
• Define and implement data governance controls using cloud-native tooling and access policies
• Influence DevOps practices through automation, Infrastructure as Code, and CI/CD for data platforms

Examples of This Role in Practice

• Redesign a Kafka-to-data lake ingestion flow to reduce latency while maintaining data accuracy under peak loads
• Decide between EMR and serverless data processing options based on cost, scalability, and operational complexity
• Resolve a cross-system data inconsistency impacting reporting by tracing lineage and enforcing validation rules
• Architect secure, role-based access to sensitive financial datasets using Lake Formation policies
• Optimize a slow analytics workload by restructuring partitions and query patterns in Athena
• Lead migration of ingestion pipelines from legacy batch processes to near real-time CDC-driven architectures

What Will Help You Succeed

• Strong intuition for distributed data systems, streaming patterns, and data platform trade-offs
• Deep familiarity with AWS data ecosystem (Kafka/MSK, S3, EMR/Glue, Athena, Lake Formation, QuickSight)
• Experience shaping ingestion strategies across relational databases using CDC techniques
• Ability to write and reason in code (Python, Java, Go) to solve real platform challenges

Helpful but not required:

• Exposure to financial services or regulated environments
• Experience operating Kubernetes (on-prem or EKS) for data workloads
• Track record of building internal platforms used by multiple engineering or analytics teams