Tech is at the center of everything we do at our company and we're looking for people who are builders at their core. From developers to visionaries and everything in between, we want minds who aren't just interested in putting the pieces together but who can find new ways to innovate. Solid communication, creative problem solving and business understanding are all prerequisites. So, if you're tech savvy, inquisitive, and ready to take the road less traveled, the company Technology team might be right for you.
our company's Engineering team is expanding its DevOps capabilities to manage our rapidly growing cloud infrastructure. We're looking for a mid-level DevOps Engineer to join this high-velocity environment, taking ownership of cloud assets, contributing to production stability, and driving key projects. You'll be instrumental in strengthening our team and supporting our continued innovation.
What am I going to do?
Independently deploy and maintain robust cloud infrastructure across AWS, GCP, and CloudFlare, leveraging Kubernetes, Terragrunt, and Ansible.
Contribute to an on-call rotation, ensuring the stability of critical production services including Kafka, RabbitMQ, and various databases, with a focus on proactive incident resolution.
Lead small to mid-sized projects from conception through completion, utilizing your expertise in CI/CD pipelines (Jenkins, ArgoCD, Argo Workflows) and scripting languages like Python, NodeJS, Go, or Kotlin.
Partner closely with security and development teams to embed security best practices throughout the entire software development lifecycle.
Proactively evaluate and implement new tools and technologies to enhance engineering efficiency, security posture, and operational excellence.
Manage sensitive information securely using tools like HashiCorp Vault and ensure secure configurations for services like Kong & Nginx.
Requirements: 4+ years of hands-on DevOps / Platform Engineering experience in production environments within a public cloud environment (AWS preferred)
Strong, production-grade Kubernetes experience (design, deployment, scaling, and troubleshooting) with solid AWS experience (VPC, IAM, EC2, EKS, Load Balancers, DNS)
Experience designing and operating highly available, scalable infrastructure systems
Experience with managed and distributed databases (AWS Aurora, RDS, MongoDB, Redis)
Hands-on experience with Infrastructure as Code and configuration management (Terraform required, Terragrunt & Ansible - advantage)
Experience with Docker and containerized workloads
2+ years of experience building and maintaining CI/CD pipelines (Jenkins, GitHub Actions)
Proficiency in Python for automation and strong Linux administration skills
Experience with monitoring and observability tools (Prometheus, Grafana)
Development experience and familiarity with GenAI platforms (AWS Bedrock, Vertex AI, OpenAI) - advantage.
This position is open to all candidates.