Senior DevOps Engineer

About the role

Upstream, a global mobile marketing automation and digital services provider serving Mobile Network Operators, is looking for a Senior DevOps Engineer to help define its artifact and container-based deployment strategies and evolve its immutable deployment platform. The role involves developing applications in Python and Golang, designing high-volume, low-latency applications, and implementing on-premise and cloud infrastructure.

Key responsibilities

• Design and implement on-premise and cloud infrastructure on VMware, AWS and Azure, and optimize it for cost, performance and scalability
• Develop and deploy Infrastructure as Code with Ansible and Terraform
• Build and run CI/CD pipelines (Jenkins, GitLab CI/CD) and enable developers to build and deploy images locally, on Kubernetes and to the cloud
• Troubleshoot performance, network and security issues, and perform upgrades, patching and security hardening
• Monitor performance, availability and security of on-premise and cloud environments
• Work with Upstream engineers to support platforms built on Java, Python, Go, PHP and others
• Contribute to tools that automate deployments and unify metrics, reporting and monitoring

Required profile

• 5+ years of hands-on experience in DevOps, systems infrastructure or related engineering fields
• Strong programming experience in Python and Golang, and Linux system administration
• Hands-on experience with Docker, Kubernetes, container-optimized OS environments and cloud virtualization platforms
• Experience building cloud infrastructure on AWS and Azure
• Practical exposure to VMware vCenter, bare-metal fleets, enterprise storage and SAN networking
• Solid background with PostgreSQL and NoSQL databases such as Redis, Elasticsearch, Couchbase and Cassandra
• Great communication skills and eagerness to learn new technologies

Required skills

• DevOps tools: Ansible, Terraform, Helm, Jenkins, GitLab, Grafana, Prometheus, Loki
• Containerization and orchestration: Docker, Kubernetes
• Cloud platforms: AWS, Azure
• Databases: PostgreSQL, Redis, Elasticsearch, Couchbase, Cassandra