Senior DevOps Engineer

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