Description
Job Summary:
Tekton Labs is seeking a DevOps Engineer to design, implement, and integrate CI/CD pipelines and infrastructure-as-code on GCP, optimizing global technology operations.
Key Highlights:
1. Design and implementation of efficient CI/CD pipelines.
2. Building and management of Infrastructure as Code (IaC) with Terraform.
3. Collaboration with development teams to integrate DevOps best practices.
At Tekton Labs, we are looking for a passionate **DevOps Engineer** who thrives on automation and modern infrastructure to join our engineering teams. In this role, you will be the key contributor in designing, implementing, and integrating CI/CD pipelines and infrastructure-as-code on Google Cloud Platform (GCP), ensuring continuous, secure, and efficient deployments to optimize our global technology operations.
**Responsibilities**
* Design and implement efficient CI/CD pipelines to automate the software delivery lifecycle across multiple environments.
* Build, provision, and manage modular Infrastructure as Code (IaC) using Terraform.
* Configure and administer serverless and container-oriented cloud services within the GCP ecosystem.
* Implement monitoring, tracing, and observability strategies to ensure high service availability.
* Manage security policies, identity and access management (IAM), and secret handling on the cloud platform.
* Collaborate closely with development teams to resolve bottlenecks and integrate DevOps best practices.
* Support interaction and performance with relational databases within the automation workflow.
**Must Have**
* Bachelor’s degree or equivalent in Systems Engineering, Computer Science, Information Technology, or related fields.
* Minimum 2 years of proven experience developing automation pipelines for deployments.
* Advanced proficiency with Google Cloud Platform (GCP).
* Experience with CI/CD tools such as GitHub Actions, Cloud Build, or Cloud Deploy.
* Practical experience with Infrastructure as Code (IaC) using Terraform.
* Experience with Docker containers and orchestration using Kubernetes/GKE.
* Intermediate-level knowledge of relational databases (PostgreSQL or MySQL).
* Intermediate English proficiency.
**Nice to Have**
* Prior experience with Amazon Web Services (AWS) and serverless deployment services.
* Knowledge of pipeline administration using Azure Pipelines.
* Experience with API Gateway or Apigee in microservices architecture.