Senior Infrastructure Engineer

Posted 2024-11-14

💎 Seniority level: Senior, 4+ years

📍 Location: Romania

🔍 Industry: Analytics engineering

🏢 Company: dbt Labs

🗣️ Languages: English

⏳ Experience: 4+ years

🪄 Skills: AWSPythonBashKubernetesAzureTerraform

Experience with AWS, Azure, or GCP, Terraform, Kubernetes, Python, and Bash.
Solid experience with declarative Infrastructure as Code, ideally with Terraform or a willingness to learn.
Experience working asynchronously in a fully-remote, distributed team.
Excellent communication and writing skills.

Design, operate, and support infrastructure systems with parity across tenancy models (single vs multi) and public clouds (AWS and Azure).
Work with engineering teams to consistently deploy their services to those environments.
Help create a great developer experience collaborating with Architecture, SRE, Release Engineering, and Security teams.
Participate in a balanced on-call rotation and help upgrade tooling to reduce toil.

Posted 2024-10-21

📍 Dubai, London

🔍 Data Infrastructure

🏢 Company: Eqvilent

3+ years in a similar role.
Proven experience with AWS or other cloud providers.
Experience with distributed systems (e.g. Apache Kafka, Apache Airflow, Apache Hadoop).
Proficiency with Terraform.
Extensive experience with Docker and Kubernetes, including cluster setup, node pools, and Helm charts.
Experience with CI/CD tools (e.g. GitLab CI, Jenkins).
Familiarity with observability tools such as Prometheus, Grafana, ELK stack.
Solid understanding of networking, security, and system architecture.
Strong scripting skills (e.g., Python, Bash).
Excellent problem-solving skills, communication, and collaboration abilities.

Design, implement, and maintain both cloud and on-premise compute and storage infrastructure.
Set up and manage Kubernetes clusters, implement Helm charts, ensuring high availability and performance.
Set up, maintain, and scale distributed systems (e.g. Apache Kafka, Apache Airflow) ensuring data integrity and security.
Automate code delivery processes and implement CI/CD, monitoring, logging, and alerting solutions.
Collaborate with development and operations teams, provide production support, and participate in on-call rotations.

AWSDockerPythonApache AirflowApache HadoopBashHadoopJenkinsKafkaKubernetesAirflowApache KafkaGrafanaPrometheusCollaborationCI/CDTerraform

Posted 2024-10-21

Posted 2024-10-20

📍 EMEA

🧭 Full-Time

🔍 Database and Software Solutions

🏢 Company: MongoDB

Pragmatic, detail-oriented, self-motivated, and understands the benefits of collaboration.
Provides guidance and coaching to entry-mid level engineers.
Takes a software-driven approach to solving problems and routinely uses git to track progress.
Familiar with software engineering principles, dependency injection, composition, and test driven development.
Experience designing/implementing medium/large scale software projects (preferably with Go).
Familiar with standard authentication protocols (e.g OAuth).
Familiar with the development of web services and/or Kubernetes controllers.
Experienced performing deep technical analysis and fixing applications, systems, and networks.
Strong Linux and TCP/IP networking skills.
Solid knowledge of cloud infrastructure.
Experience with configuration management tools and managing infrastructure through code.
Familiar with how to use CI/CD workflows and tooling to deploy production services.
Experience running containers in a production environment, preferably Kubernetes based.
Experience with observability concepts and tooling, metrics, logging, traces, Prometheus, Grafana, OpenTelemetry.
Has practical knowledge of delivering production level services with SLI/SLOs and understands how to measure, track and adjust them.

Work with engineering teams across MongoDB to investigate gaps and limitations in existing development workflows and understand new infrastructure and platform requirements.
Design self-service platform services and developer tooling that focuses on reliability, usability, and provides the appropriate level of abstraction from cloud infrastructure.
Regularly write and review automation, configuration management, and application code.
Author and review functional specifications and scoping documents for large platform projects and services.
Own and operate much of the internal development platform that runs MongoDB.
Work on a distributed team that frequently interacts with remote engineers across multiple time zones.

AWSGitKubernetesMicrosoft AzureOAuthAzureGoGrafanaPrometheusCollaborationCI/CDLinux

Posted 2024-10-20

🔧 Requirements