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Jobs(27,172)/Infrastructure Engineer Role(181)/Telnyx (21) - Infrastructure Engineer, Data
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Telnyx

Telnyx - Infrastructure Engineer, Data

Warsaw, Poland; Dublin, Ireland; London, UK2d ago
In OfficeMidEMEAInfrastructure EngineerBashELKKubernetesAnsibleTerraformPythonPrometheusGrafanaLinuxPostgreSQLMySQLOpenSearchCassandraRabbitMQKafkaRedisConsul

Requirements

• 3+ years of professional experience in infrastructure operations, especially in Linux-based systems. • Expertise in at least one deployment and orchestration technology (Kubernetes, Ansible, or Terraform), with a focus on deploying and managing stateful applications • Skills in scripting languages such as Bash, Python, or similar, to automate workflows and manage infrastructure. • Hands-on experience managing at least one relational databases like PostgreSQL or MySQL • Experience with non-relational databases such as Cassandra, OpenSearch, or other distributed data stores. • Familiarity with streaming and messaging platforms like Kafka or RabbitMQ, including scaling and monitoring in a distributed setup. • Proficiency in observability tools like Prometheus, Grafana, ELK stack, or others to ensure system performance and reliability. • Knowledge of service discovery tools like Consul, or similar technologies, would be a great advantage • Growth Opportunities: • Act as a strength multiplier to product engineering efforts. • Learn about every technology stack used at Telnyx. • Work at the intersection of the social and the technical, with growth opportunities in both.

Responsibilities

• Design, develop, and deploy scalable solutions for managing databases like PostgreSQL, MySQL, Cassandra, Kafka, RabbitMQ, Redis, and others, both in virtualized environments and Kubernetes clusters. • Collaborate with engineering to identify and resolve pain points in managing large-scale, high-availability database infrastructure. • Lead the migration of existing database services from VMs to Kubernetes, ensuring minimal downtime and seamless transitions. • Support disaster recovery, backup strategies, and performance tuning for on-premise database systems. • Implement and manage observability, logging, and alerting systems.

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