Job Overview

Jibit is looking for a Platform Engineer to run and grow the platform our engineering teams build on: production Kubernetes clusters on bare metal, the stateful data services behind them, and the internal tools that make deploying and operating services simple and safe.

You will treat the platform as a product: gather requirements from engineering teams, build internal tools and services mainly in Go, ship in small iterations and measure adoption. You will also own monitoring and reliability for the platform, join the on-call rotation, and apply the security and compliance practices expected in payments.

Responsibilities

• Operate, upgrade, and scale production Kubernetes clusters on bare metal, including etcd health, control-plane recovery, and node lifecycle; own cluster add-ons: ingress, CNI, storage, certificates, secrets management, and autoscaling.
• Define and enforce standards for namespaces, resource quotas, RBAC, network policies, and pod security; maintain GitOps and CI/CD pipelines that take services from commit to production safely.
• Run and support stateful data services (relational and distributed SQL databases, in-memory caches, and message brokers) on Kubernetes and on dedicated servers; own backup, restore testing, replication, failover, and capacity planning for each.
• Work with developers on schema changes, slow queries, connection pooling, and safe migrations.
• Design and build internal tools and services, mainly in Go: self-service provisioning, deployment workflows, CLIs, operators and controllers, and APIs over our infrastructure; turn repeated manual runbooks into automated, tested, and documented workflows.
• Build and maintain observability across metrics, logs, and traces, including dashboards and alerting; define SLIs, SLOs, and actionable alerts for the platform and shared data services, and remove noisy alerts.
• Join the on-call rotation, lead incident response for platform issues, and write blameless postmortems.
• Manage infrastructure and configuration as code, including Kubernetes application packaging and manifest management; apply least privilege, secrets rotation, audit logging, and patch management; keep runbooks, architecture notes, and onboarding docs up to date.

Qualifications

• 4+ years in DevOps, SRE, or platform engineering, with at least 2 years running Kubernetes in production.
• Deep Kubernetes knowledge: scheduling, networking, storage, RBAC, upgrades, and debugging failed workloads and nodes.
• Hands-on experience operating at least one relational or distributed database in production, including backup, restore, and failover.
• Production monitoring experience: collecting metrics, writing queries, building dashboards, and designing alerts people act on.
• Solid skills in at least one programming language: you have built and shipped services, CLIs, or automation, with tests, in a team codebase.
• Strong Linux fundamentals and networking basics: TCP/IP, DNS, load balancing, TLS, routing, and firewalls.
• Experience with infrastructure as code, configuration management, and CI/CD pipelines, including GitOps.
• Clear written communication: runbooks, design notes, and postmortems others can follow.
• Comfortable working in Persian and reading and writing technical English.
• Go, the main language of our internal platform, is preferred, plus Python and Bash for automation and glue work.
• Running Kubernetes on bare metal or on-premises across multiple sites or data centers is a plus.
• Running databases on Kubernetes with operators, writing your own operators and controllers, or experience with distributed SQL databases is a plus.
• Experience with distributed tracing, centralized log pipelines, or building internal developer portals or platforms is a plus.
• Service mesh, eBPF-based networking, or advanced Linux networking is a plus.
• A fintech, banking, or payments background; work under PCI DSS or similar compliance; or Kubernetes certifications (administration, development, or security) is a plus.