![Ingrid Capacity](https://media.trabajo.org/img/noimg.jpg)
Cloud Engineer
8 hours ago
At Ingrid Capacity, we're on a mission to drive the green transition in a rapidly evolving energy landscape. As a Platform Engineer, you'll play a pivotal role in designing and managing cloud infrastructure that empowers innovation and efficiency within our organization.
About the Team
Our Ingrid Technology teams are at the forefront of developing software solutions that tackle bottlenecks in the power system. We're committed to building a data-driven culture by creating robust data pipelines and Business Intelligence layers that provide stakeholders with actionable insights.
About the Role
We're seeking a skilled Platform Engineer who can develop cloud strategies, ensure the security and efficiency of cloud systems, and collaborate with our team to deliver integrated solutions. You'll have the opportunity to lead impactful cloud projects that align with our commitment to shaping the future of the energy system.
Key Responsibilities:
- Design scalable, secure, and cost-efficient GCP architectures tailored to business needs.
- Manage IaC with Terraform configurations for automated infrastructure provisioning and updates.
- Ensure security by implementing robust IAM policies, encryption, and compliance standards for secure cloud environments.
- Streamline development with efficient CI/CD pipelines to empower faster and smoother software delivery.
- Observe and monitor resource usage to take action to improve performance and cost-efficiency across a diverse system.
- Collaborate and improve: Work with teams to align cloud solutions with goals while staying updated with trends and advancements in cloud, observability, and DevOps.
Key Qualifications:
- Cloud experience with a strong knowledge of Google Cloud Platform or similar (AWS, Azure).
- Cloud storage and databases with an understanding of cloud storage and databases, e.g., S3 buckets, BigQuery, PostgreSQL.
- DevOps concepts such as infrastructure as code (Terraform), containerization (Docker, Kubeflow), CI/CD pipelines (GitHub Actions).
- Security embedded in the workflow, always considering security implications and risk-mitigation. Experience with authorization and IAM policies would be meritable but not required.
- Solid coder with proficiency in Python and JavaScript.
- Expertise in monitoring with tools like Cloud Logging, Prometheus, ElasticSearch, or similar.
- MLOps experience with tools like Vertex AI, which is meritable but not required.
- Curiosity and innovation with a strong interest in exploring and evaluating the latest innovations.
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