About Hytech Hytech is a leading management consulting firm headquartered in Australia and Singapore specializing in digital transformation for fintech and financial services organizations The company delivers endtoend consulting services and provides robust middle and backoffice solutions enabling clients to optimize operations enhance efficiency and stay ahead in a fastevolving digital landscape Hytechs client portfolio includes top global trading platforms and leading crypto exchanges With more than 2000 professionals worldwide Hytech has a strong and growing international presence with offices across Australia Singapore Malaysia Taiwan the Philippines Thailand Morocco Cyprus Dubai and beyondAbout the RoleWe are seeking a DevOps Engineer to build and maintain our AWS infrastructure Kubernetes platform and software delivery pipelines You will collaborate closely with engineering teams to improve delivery speed system reliability and operational efficiency for highperformance financial systemsAIassisted engineering is a core aspect of this role You are expected to actively use AI tools automate repetitive tasks and demonstrate measurable improvements in workflowsResponsibilities Build and maintain AWS infrastructure including VPC EKS EC2 load balancing storage and IAM Manage infrastructure as code using Terraform ensuring environment provisioning and changes are reproducible and traceable Operate Kubernetes clusters and maintain Helm charts resource configuration autoscaling and configuration management Develop and improve CICD pipelines and GitOps workflows using tools such as Argo CD Implement monitoring logging tracing and actionable alerts to enhance incident detection and diagnosis Participate in production incident response root cause analysis and corrective actions Maintain runbooks and validate backup and disaster recovery procedures Strengthen infrastructure security through leastprivilege access network isolation secrets management vulnerability scanning and patching Collaborate with developers to resolve deployment capacity performance and environment issues Use AI coding assistants and agent tools to accelerate infrastructure development pipeline optimization troubleshooting and documentation Combine AI with scripts and internal tools to automate recurring tasks and build selfservice capabilities Validate AIgenerated code configurations and operational recommendations before use with appropriate testing and rollback procedures Measure improvements through shorter delivery cycles fewer manual steps and faster incident diagnosis and share effective practices across the teamRequirements At least 3 years of experience in DevOps SRE or cloud infrastructure including handson production operations Strong knowledge of AWS services and the ability to troubleshoot networking compute storage and access control issues Solid understanding of Linux TCPIP DNS TLS and load balancing Handson experience with Docker Kubernetes and Helm including scheduling resource management health checks storage and cluster upgrades Practical experience with Terraform including reusable modules state management and safe infrastructure changes Experience building and maintaining CICD pipelines with familiarity with platforms such as GitLab CI or GitHub Actions and an understanding of GitOps Familiarity with Prometheus Grafana OpenTelemetry or equivalent observability tools Ability to build reliable automation using Python Go or Shell Regular use of AI coding assistants or agent tools such as Claude Code Codex GitHub Copilot or equivalents in engineering workflows Ability to provide concrete examples of AIdriven efficiency improvements explaining the original workflow implementation validation and results Sound judgment when reviewing AI output and handling production access sensitive information and operational changes Strong communication documentation and problemsolving skills with ownership of issues through resolutionNice to Have Experience with financial trading realtime data platforms or other highavailability systems Experience with Argo CD and multicluster multiaccount or multiregion infrastructure Production experience with Kafka RedisValkey PostgreSQL or ClickHouse Familiarity with SLISLO practices capacity planning load testing and disaster recovery Experience with cloud security incident response access governance or compliance audits Experience deploying and diagnosing NET applications Experience building AIassisted internal tools or automated engineering workflows
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