DevOps Engineer

Fuga

4 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Job location

Tech stack

Airflow

Cloud Computing

Configuration Management

Continuous Integration

Data Centers

Linux

DevOps

Disaster Recovery

Elasticsearch

Github

HAProxy

Identity and Access Management

PostgreSQL

MariaDB

Nagios

Cisco Nexus Switches

Nginx

Redis

Ansible

Prometheus

Ruby

Ceph

Data Logging

Google Cloud Platform

Data Storage Technologies

Grafana

Kubernetes

Kafka

Terraform

Docker

Job description

We're looking for a Platform / DevOps Engineer.

Over the years, we've built a substantial hybrid platform across GCP and our co-located datacenter supporting a large, evolving application landscape. While the foundation is solid, the growth has been organic, and we now face the challenge of consolidating, refining, and extending what we've built while maintaining the platform.

Your role will focus on reorganizing and improving the platform: making it more stable, cost-effective, secure, and easier for engineers to build on. You'll work on infrastructure architecture, access controls, observability, CI/CD pipelines, and platform tooling.

We're looking for someone who's curious, pragmatic, and comfortable navigating ambiguity. Someone who can look at a convoluted setup and say, "Alright, let's make sense of this" and then steadily move it forward., * Build and manage infrastructure across GCP and on-premise environments, where hands-on experience in data center setups is preferred.

Own and enhance our Kubernetes, Terraform and CI/CD workflows (GitHub Actions, Helm, Artifact registries)
Support cost optimization efforts and help restructure cloud infrastructure for better scalability and efficiency
Maintain and improve platform security (IAM, network), backups, disaster recovery and compliance-readiness
Implement and maintain monitoring, logging, and alerting with tools like Prometheus, Grafana, Elastic stack and Nagios where experience with the Elastic stack is critical.
Collaborate with development and data teams to help them better utilize the platform (e.g., Kubernetes, Docker, GCP)
Contribute to a culture of ownership, reliability and an overall engineering mindset

Tech Stack

You don't need to know everything listed, but solid experience with a fair share of this stack is expected:

Cloud: Google Cloud Platform (GCP)
Containers and orchestration: Docker, Kubernetes, Helm
Infra as Code / configuration management: Terraform, Ansible
CI/CD: GitHub Actions, GCR / Nexus / Ruby-in-a-box, templated pipelines
Monitoring and logging: Prometheus, Grafana, Elastic stack, Nagios
Data Storage: MariaDB, Redis, PostgreSQL, Kafka, Ceph

Other tools: Airflow, HAProxy, Nginx, Linux If you require alternative methods of application or screening, you must approach the employer directly to request this as Indeed is not responsible for the employer's application process.