Hytech
DevOps Engineer
Build and maintain AWS infrastructure, Kubernetes clusters, and CI/CD/GitOps delivery pipelines for high-performance financial systems at a fintech-focused consulting firm. Core stack: AWS (VPC, EKS, IAM), Terraform, Docker/Kubernetes/Helm, Argo CD, Prometheus/Grafana, with heavy emphasis on AI-assisted engineering and automation.
- Compensation
- Not disclosed
- Location
- Singapore, Singapore
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Devops
- Posted
Skills
Must have
- 3+ years of experience in DevOps, SRE, or cloud infrastructure with hands-on production operations
- Strong knowledge of AWS services; troubleshoot networking, compute, storage, and access control issues
- Solid understanding of Linux, TCP/IP, DNS, TLS, and load balancing
- Hands-on experience with Docker, Kubernetes, and Helm (scheduling, resource management, health checks, storage, cluster upgrades)
- Practical experience with Terraform (reusable modules, state management, safe infrastructure changes)
- Experience building and maintaining CI/CD pipelines; familiarity with GitLab CI or GitHub Actions and 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 (Claude Code, Codex, GitHub Copilot, or equivalents)
- Ability to provide concrete examples of AI-driven efficiency improvements (workflow, implementation, validation, results)
- Sound judgment when reviewing AI output and handling production access, sensitive information, and operational changes
- Strong communication, documentation, and problem-solving skills with ownership through resolution
Nice to have
- Experience with financial trading, real-time data platforms, or other high-availability systems
- Experience with Argo CD and multi-cluster, multi-account, or multi-region infrastructure
- Production experience with Kafka, Redis/Valkey, PostgreSQL, or ClickHouse
- Familiarity with SLI/SLO 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 AI-assisted internal tools or automated engineering workflows
Full description
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 end-to-end consulting services and provides robust middle- and back-office solutions, enabling clients to optimize operations, enhance efficiency, and stay ahead in a fast-evolving digital landscape.
- Hytech’s client portfolio includes top global trading platforms and leading crypto exchanges.
- With more than 2,000 professionals worldwide, Hytech has a strong and growing international presence, with offices across Australia, Singapore, Malaysia, Taiwan, the Philippines, Thailand, Morocco, Cyprus, Dubai, and beyond.
About The Role
We 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 high-performance financial systems.
AI-assisted engineering is a core aspect of this role. You are expected to actively use AI tools, automate repetitive tasks, and demonstrate measurable improvements in workflows.
Responsibilities
- 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 CI/CD 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 least-privilege 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 self-service capabilities.
- Validate AI-generated code, configurations, and operational recommendations before use, with appropriate testing and rollback procedures.