Devops Engineer - Databases - Humankind

Job descriptionYour missionWe are looking for a hands-on DevOps Engineer to join our Data team within the Internal Developer Platform (IDP) department. You will deploy, automate, and maintain databases - primarily on Kubernetes - serving 500+ developers across multiple environments.This is a practical, engineering-heavy role. You will work daily with Kubernetes operators, Helm charts, Ansible playbooks, and CI/CD pipelines to keep databases running reliably at scale. If you have deployed and managed any database on Kubernetes (PostgreSQL, Elasticsearch, MySQL, MongoDB - anything counts), and you enjoy solving real operational problems rather than just writing YAML, this role is for you.You will join a small, focused team of experienced engineers and start contributing from day one. We value practical experience over theoretical knowledge.What You Will Doa) Deploy and operate databases on KubernetesDeploy and manage database clusters using Kubernetes operators (e.g., CloudNativePG, ECK, or any equivalent operator you have worked with).Handle day-to-day database operations: provisioning, scaling, backups, failover, upgrades, and user management.Troubleshoot production issues across multiple database engines (PostgreSQL, Elasticsearch, MySQL, Cassandra, ClickHouse, MongoDB).b) Build and maintain automationWrite and maintain Ansible playbooks, Helm charts, and Terraform modules for database lifecycle management.Automate repetitive operational tasks: credential rotation, configuration drift detection, and backup verification.Integrate database services with GitOps workflows (ArgoCD) and secrets management (External Secrets Operator, OpenBao).c) Support the platform and the teamCreate operational runbooks and documentation for database procedures.Collaborate with other teams on monitoring, alerting, and access control for databases.Job requirementsWhat you’ll bring3+ years in a DevOps, SRE, or Infrastructure Engineer rolewith real production responsibilities.Kubernetes experience: you have deployed and operated workloads on Kubernetes in production - not just local clusters. Understanding of StatefulSets, PVCs, operators, and how stateful applications behave on K8s.Database deployment experience on Kubernetes: you have deployed at least one database engine on K8s using an operator or Helm chart. You know the caveats - storage classes, backup strategies, failover behavior, data persistence. Any database counts (PostgreSQL, MySQL, Elasticsearch, MongoDB, Redis, etc.).Automation skills: practical experience with at least two of: Ansible, Terraform, Helm. You write automation that others can read, use, and maintain.Linux fundamentals: comfortable with troubleshooting, networking, and system administration on Linux.CI/CD familiarity: experience with GitLab CI, ArgoCD, or similar pipeline/GitOps tools.Communication: able to work effectively in English (written and spoken) in a distributed team.Nice to Have (We Will Teach the Rest)Experience with PostgreSQL administration (tuning, replication, HA/DR).Familiarity with Elasticsearch or other search/analytics databases.Experience with monitoring and observability tools (Prometheus, Grafana, ELK).Python, Go, or Bash scripting for building automation and tooling.Exposure to secrets management (Vault/OpenBao, External Secrets Operator).Experience migrating databases from VMs to Kubernetes.All done!Your application has been successfully submitted!Other jobsYou’ve already applied for this jobWe appreciate your interest in this position. Unfortunately, you have already applied for this job.

What you’ll bring

3+ years in a DevOps, SRE, or Infrastructure Engineer role

with real production responsibilities.

Kubernetes experience

you have deployed and operated workloads on Kubernetes in production - not just local clusters. Understanding of StatefulSets, PVCs, operators, and how stateful applications behave on K8s. Database deployment experience on Kubernetes

you have deployed at least one database engine on K8s using an operator or Helm chart. You know the caveats - storage classes, backup strategies, failover behavior, data persistence. Any database counts (PostgreSQL, MySQL, Elasticsearch, MongoDB, Redis, etc.). Automation skills

practical experience with at least two of: Ansible, Terraform, Helm. You write automation that others can read, use, and maintain. Linux fundamentals

comfortable with troubleshooting, networking, and system administration on Linux. CI/CD familiarity

experience with GitLab CI, ArgoCD, or similar pipeline/GitOps tools. Communication

able to work effectively in English (written and spoken) in a distributed team. Nice to Have (We Will Teach the Rest) Experience with PostgreSQL administration (tuning, replication, HA/DR). Familiarity with Elasticsearch or other search/analytics databases. Experience with monitoring and observability tools (Prometheus, Grafana, ELK). Python, Go, or Bash scripting for building automation and tooling. Exposure to secrets management (Vault/OpenBao, External Secrets Operator). Experience migrating databases from VMs to Kubernetes.