Engage with product engineering teams to gain a comprehensive understanding of their infrastructure and data engineering use cases.
Communicate build trade-offs effectively and construct scalable systems to meet their outstanding needs.
Develop advanced tooling to automate the build and deployment of microservices and infrastructure components, improving efficiency and productivity.
Proactively identify bottlenecks in the daily usage of core infrastructure and implement robust solutions to resolve them.
Monitor the infrastructure to alert on significant events, ensuring the highest system performance and reliability level.

Requirements

Bachelor's or Master's degree, or equivalent experience, in Computer Science, Engineering, or a closely related technical field.
5+ years of hands-on experience crafting and constructing infrastructure for large-scale, fault-tolerant distributed services.
Demonstrated expertise with major cloud infrastructure platforms, such as AWS, Continuous Integration/Continuous Delivery (CI/CD) practices and tools, including GitOps-based deployment models.
Proven hands-on experience with modern data engineering tools and platforms, including data ingestion, transformation, and orchestration technologies.
Familiarity with distributed processing frameworks, data warehouses, and cloud-based data platforms is highly desirable.
High proficiency in Infrastructure as Code (IaC), Terraform, and at least one general-purpose programming language (Python, Golang, or Java).

Benefits

Equity
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Applicant Tracking System Keywords

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Hard Skills & Tools

Infrastructure as CodeTerraformPythonGolangJavaCloud infrastructureData engineering toolsCI/CDData ingestionData transformation

Soft Skills

CommunicationProblem-solvingCollaborationProactivityMonitoring