We are looking for an SRE / OPS / DevOps Engineer to join our infrastructure team. In practice, this is a cross-functional role that combines Site Reliability Engineering, Operations, and DevOps disciplines. You will be embedded in a team that owns and operates complex multi-datacenter infrastructure supporting multiple high-traffic gaming studios at Playtika.

You will work alongside experienced engineers across SRE, DBA, and Platform teams to keep our services reliable, scalable, and observable.

Responsibilities

• Operate and maintain Kubernetes-based infrastructure (SpectroCloud / Cloudstack) across multiple datacenters in the US.
• Support and troubleshoot a wide range of stateful workloads running in k8s: Kafka, Redis / KeyDB / RedisLabs, MariaDB / Galera, Aerospike, Singlestore, Elasticsearch / OpenSearch
• Participate in cloud migration projects — prepare environments, perform data sync and failover, execute final cutover
• Manage and maintain monitoring, alerting, and observability stacks: Prometheus, VictoriaMetrics, Grafana, AlertManager, PagerDuty
• Maintain and improve logging infrastructure: ELK / OpenSearch stack, Filebeat, Logstash — including configuration, performance tuning, and index lifecycle management
• Configure and maintain load balancers (Nginx+, MaxScale, internal PLB / IPVS-based solutions) and manage DNS records
• Manage SSL certificate lifecycle automation (Sectigo + Prometheus / Grafana)
• Administer and maintain secrets management systems (HashiCorp Vault, External Secrets Operator)
• Participate in on-call duty rotation and respond to production incidents; follow and improve SRE alert handling guidelines
• Contribute to GitOps workflows: maintain infrastructure-as-code in Git, work with Flux CD, deployment packages, and Ansible playbooks
• Review and extend automation scripts and tooling (primarily Bash and Python)
• Provide SRE-level support to multiple game studios: investigate production issues, handle ChatOps requests, and collaborate with development teams
• Write and maintain operational runbooks, SOPs, migration plans, and other technical documentation in Confluence
• Perform capacity planning reviews and resource utilization analysis for datastores and cluster nodes
• Participate in cross-team initiatives and contribute to platform-level improvements

Requirements

• Solid hands-on experience with Linux systems (primarily Ubuntu 22.04 / 24.04 LTS)
• Practical knowledge of Kubernetes administration: workloads, operators, resource management, node maintenance, cluster upgrades
• Experience operating and troubleshooting stateful services in k8s: at least one of — Kafka, Redis / KeyDB, MariaDB / Galera, Elasticsearch / OpenSearch, Aerospike
• Familiarity with GitOps approach and tools: Git, Flux CD, Helm, Kustomize
• Monitoring and observability experience: Prometheus ecosystem, VictoriaMetrics, Grafana, AlertManager
• Practical experience with ELK / OpenSearch stack (Filebeat, Logstash, index management)
• Solid scripting skills (Bash); ability to read and modify Python
• Understanding of networking fundamentals: TCP/IP, DNS, load balancing, ports and protocols, VIPs, VLANs
• Experience with HashiCorp Vault or similar secrets management solutions
• Familiarity with Ansible for infrastructure automation
• Ability to troubleshoot complex distributed system issues under production pressure
• Strong communication skills: ability to collaborate across SRE, DBA, RnD, and NOC teams
• Experience working with Jira-based workflow and documenting in Confluence

Nice to Have

• Experience with cloud migration projects (datacenter-to-cloud or cloud-to-datacenter)
• Knowledge of additional datastores: Singlestore (SingleStore / MemSQL), Aerospike, Couchbase, KeyDB
• Familiarity with HashiCorp Boundary for secure remote access and Ansible dynamic inventory
• Experience with load balancer solutions: Nginx+, F5, IPVS
• Understanding of high-availability and DR patterns: active-active, active-passive, failover procedures
• Exposure to SSL certificate lifecycle automation (cert-manager, Sectigo)
• Knowledge of PagerDuty, or similar on-call and incident management platforms
• Experience with AWS (IAM, S3, EC2) in the context of infrastructure operations
• Understanding of SLO/SLA concepts and how they apply to infrastructure reliability
• Familiarity with Python-based monitoring collectors or custom exporters for Prometheus
• Experience with capacity planning, performance analysis, and resource optimization in production environments

Our Stack at a Glance