Full Time Sr. DevOps Engineer Jobs, in Floward Federal Territory - Maukerja

Title : Sr. DevOps Engineer

Department : Technology

Location : Malaysia

Job Purpose:

We're hiring a Senior DevOps Engineer to help own and evolve the platform behind our large-scale e-commerce and data products. Our infrastructure runs mainly on AWS, with a smaller GCP footprint. We're moving to a fully Terraform-managed, GitOps-driven and highly automated platform, and we expect AI to be a core part of how we build and run it. You'll work with DevOps engineers, software developers and data teams to deliver reliable environments, fast and safe releases, and strong observability. You'll use AI tools daily to move faster, and help the team adopt them safely. This role suits a hands-on engineer who unblocks themselves, takes ownership end to end, and raises the bar for the people around them.

Job Responsibilities :

Cloud and infrastructure as code:

• Design, build and operate infrastructure on AWS, and on GCP where needed.
• Lead parts of our migration to Terraform: write reusable modules, set standards, and bring unmanaged resources under code.
• Own the health, scaling, upgrades and cost efficiency of our EKS clusters.
• Keep dev, staging and production consistent and reproducible.

CI/CD and GitOps:

• Build and maintain GitHub Actions pipelines with automated build, test, security scanning and deployment.
• Run and improve Flux CD GitOps flows, Helm charts and application manifests.
• Diagnose failed builds and deployments with engineering teams, then fix the root cause.

AI-enabled engineering and automation:

• Use AI coding assistants and agents to write and review Terraform, Kubernetes manifests, pipelines and scripts, with sound validation and review habits.
• Build AI-powered automation for the team, such as incident triage, log and alert summarisation, PR review helpers, or ChatOps bots.
• Connect AI agents to our tooling safely (e.g., via MCP servers or APIs), with least-privilege access, approval gates and audit trails.
• Support AI and LLM workloads in production: model APIs (Amazon Bedrock, Vertex AI, OpenAI), LLM gateways, and their cost, latency and observability.
• Share prompts, workflows and practices so the whole team gets faster with AI.

Observability, reliability and security:

• Run and extend our observability stack (Prometheus, Grafana, Loki, CloudWatch), with clear dashboards, SLOs and actionable alerts.
• Take part in on-call and incident response, and lead blameless post-incident reviews.
• Apply strong practices for IAM, secrets management, network security and compliance, including for AI tools that touch code or infrastructure.
• Look for cost savings across AWS and GCP and act on them.

Collaboration and continuous improvement :

• Partner with developers, QA and data teams to improve delivery speed and stability.
• Document architecture, runbooks and workflows, using AI to keep them current.
• Mentor other engineers and propose improvements to the platform roadmap.

Requirments :

• 5+ years in DevOps, SRE or cloud infrastructure roles, with production systems you've owned.
• Strong hands-on AWS experience: EC2, EKS, S3, RDS, IAM, VPC, CloudWatch and related services.
• Deep practical Terraform experience, including modules, remote state and refactoring existing infrastructure into code.
• Production Kubernetes experience, ideally EKS: upgrades, autoscaling, networking and troubleshooting.
• Strong CI/CD experience with GitHub Actions or a similar tool.
• Working knowledge of GitOps with Flux CD or Argo CD, and of Helm.
• Experience operating and troubleshooting PostgreSQL and DocumentDB (or MongoDB).
• Scripting in Python, Bash or Go for automation.
• Daily, effective use of AI tools in your engineering work, with examples you can show: code generation, debugging, reviewing infrastructure changes, or writing docs and runbooks.
• A clear grasp of AI limits and risks: you validate AI output (plan, lint, test), keep secrets and sensitive data out of prompts, and understand risks such as prompt injection and over-privileged agents.
• Clear communication in English, and a collaborative approach to solving problems.
• Ability to own work end to end with minimal supervision.

Nice to have :

• GCP experience, or multi-cloud design experience.
• Built LLM-based tools or agents (e.g., with the Claude, OpenAI or Bedrock APIs, LangChain, or MCP).
• Experience running AI/ML workloads on Kubernetes, such as GPU node pools, model serving (vLLM, KServe) or vector databases.
• AIOps experience: anomaly detection, alert correlation or automated remediation.
• Strong networking knowledge: DNS, load balancing, ingress controllers, service mesh.
• Security tooling in pipelines (e.g., Trivy, Checkov, tfsec, OPA) and secrets tools (Vault, AWS Secrets Manager, External Secrets).
• FinOps practices and cloud cost optimisation.
• Experience in e-commerce or other high-traffic distributed systems, including peak-season readiness.

About Floward :

Floward Life Page

Floward Corporate

Founded in 2017, Floward is an online flowers and gifting company; we pride ourselves in creating a seamless experience for our customers and making sending flowers and gifts as enjoyable as receiving them. We source our flowers daily from the best growers and farmers around the world to create one of a kind stunning arrangements and plants that fit every occasion. We also partner with local and international brands to offer a wide range of gifts including chocolate, perfumes, cakes and more, coupled with our arrangements to create the perfect gift. Operating in 36 cities in nine countries across the MENA region and UK, we guarantee same-day delivery across the board through our own refrigerated fleet to ensure our arrangements arrive fresh to the customer.