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Cloud Platform Engineer (AWS / EKS / Terraform)
Team: Infrastructure · Reports to Head of Infrastructure
About the role
You will build and operate TookiTaki's cloud platform: AWS EKS clusters managed as code, GitOps-driven delivery with the Argo suite, operator-managed data services running on Kubernetes, and a Terraform-based self-service layer that lets application teams request infrastructure through reviewed YAML instead of tickets. The job is platform engineering, not click-ops — everything ships through version control, automated pipelines, and policy gates.
Requirements
Education

R

equired: Bachelor's degree in Computer Science, Engineering, or a related field — or equivalent practical experience.

P

referred: Relevant certifications over a Master's — CKA (Certified Kubernetes Administrator), HashiCorp Terraform Associate, AWS Solutions Architect Associate or higher.
Experience

3

–5+ years in cloud, platform, or DevOps engineering.

P

roven track record running production Kubernetes on a managed cloud (EKS strongly preferred), including stateful workloads.

E

xperience operating infrastructure entirely through Infrastructure as Code — no console-driven change management.
Technical expertise

<

strong>Kubernetes / EKS: cluster lifecycle and upgrades, autoscaling (Karpenter, KEDA, VPA), ingress and load balancing, IRSA/Pod Identity, core add-ons (cert-manager, external-dns, CoreDNS, node-local-dns).

<

strong>GitOps / Argo: ArgoCD for platform and application delivery (app-of-apps, Helm chart authoring, sync and rollback strategies), Argo Rollouts for progressive delivery, Argo Workflows/Events for automation.

<

strong>Databases and stateful services on Kubernetes: deploying and operating databases via Kubernetes operators — PostgreSQL and MySQL (Percona operators), ScyllaDB, Elasticsearch, Valkey/Redis, Kafka (Strimzi) — plus AWS RDS/Aurora where managed services fit better; backup/restore, upgrades, and capacity management for stateful workloads.

<

strong>Terraform: authoring reusable, versioned, tested modules (not just consuming them) — variable/output interface design, `terraform test`, semantic versioning, remote state on S3.

<

strong>CI/CD & automation: pipeline design in GitHub Actions or GitLab CI; plan/apply automation with Atlantis; policy-as-code gates (OPA/Conftest, checkov, tflint); pre-merge validation and drift detection.

<

strong>AWS core services: VPC and network design, Route 53, IAM (least-privilege roles and policies), S3, RDS/Aurora.

<

strong>Observability: Datadog, OpenTelemetry (collector and kube-stack), Grafana; alerting hygiene with low false-positive rates; log and event pipelines.

<

strong>Programming: solid scripting/tooling ability in Python or Go — enough to build renderers, validators, and pipeline tooling, not just glue scripts.

<

strong>Nice to have: data platform tooling (Airflow, Spark on Kubernetes, Temporal, StarRocks), identity and SSO (Keycloak, Dex, oauth2-proxy), load testing with k6, FinOps practices (tagging standards, cost allocation, rightsizing).
Soft skills

S

trong problem-solving and analytical abilities; comfortable debugging across the stack (DNS → LB → cluster → workload → database).

C

lear written communication — design docs, runbooks, and PR descriptions are first-class deliverables here.

C

ollaborative mindset: infrastructure changes ship through peer review, and platform decisions are made with (not for) application teams.
Key competencies

<

strong>Platform thinking: design paved roads that make the secure, cost-efficient path the easy path for application teams.

<

strong>Automation-first: if a task is done twice manually, the third time is a pipeline.

<

strong>Ownership: own services end to end — provisioning, upgrades, incidents, cost, and documentation.

<

strong>Cost awareness: treat cloud spend as an engineering metric; tag, measure, and optimize continuously.

<

strong>Adaptability: comfortable in a fast-moving environment where the platform itself is under active development.
Success metrics (first 6–12 months)

A

pplication teams provision standard infrastructure through the self-service platform with no manual Terraform written by requesters.

E

KS cluster and node-group upgrades executed as routine, zero-downtime operations via blue/green rollout.

O

perator-managed data services (PostgreSQL, Kafka, Elasticsearch, etc.) run with tested backup/restore and rehearsed upgrade procedures.

1

00% of infrastructure changes delivered through reviewed, policy-gated pipelines — zero out-of-band console changes.

D

eployment lead time for platform changes reduced measurably (target: same-day merge-to-production for routine changes).

C

ost visibility established via tagging and dashboards, with identified savings executed (rightsizing, autoscaling, storage tiering).

A

ctionable alerting: on-call pages correspond to real incidents; false-positive alerts trend toward zero.

M

ean time to recovery for platform incidents under 30 minutes.
Benefits

<

strong>Competitive salary aligned with industry standards and experience.

<

strong>Professional development: certification support (CKA, AWS, Terraform) and training across cloud, platform, and data engineering.

<

strong>Comprehensive benefits: health insurance and flexible working options.

<

strong>Growth opportunities: career progression within TookiTaki's expanding infrastructure and platform organization.

Employment Type: FULL_TIME