Infrastructure Engineer at Pelmorex delivering reliable cloud-native meteorological systems. Focus on Kubernetes, Docker, AI tools, and infrastructure automation to support global weather services.
Responsibilities
Design and implementation of Meteorological infrastructure core services that are currently running under Kubernetes (AWS EKS) with Istio Service mesh, EC2 instances, ECS Clusters and deployed under Jenkins CI/CD pipeline via Helm, SSM and bash deployment scripts.
Improve monitoring system running under Prometheus, Grafana and Kibana.
Use AI-assisted development tools and workflows to improve productivity, accelerate delivery, enhance code quality, support troubleshooting, and streamline operational tasks while maintaining quality and accountability.
Provide technical advice and produce effort estimates on the various work required; execute work based on priorities.
Work with cross-functional teams to ensure all systems function as intended and without impediment to existing products or processes.
Work with Technology Operations team to ensure end-to-end data monitoring in software design, from data acquisition to delivery.
Use knowledge of databases and database technology to create applications which are distributed, multi-tier, and able to service large volumes of data.
Provide support to our operational teams for the relevant production systems and ensure services stay available and stable.
Maintaining operational runbooks, automation playbooks, and reliable cloud infrastructure procedures for production systems.
Requirements
Degree or diploma in Computer Science, Engineering, Mathematics, or equivalent practical experience.
Minimum 3+ years of experience designing, implementing, and managing containerized environments using Docker and Kubernetes across platforms such as CloudStack, Proxmox, EKS & GKE.
Strong knowledge of cloud platforms and infrastructure technologies including AWS, GCP, CloudStack, and Proxmox.
Experience with core networking concepts including TCP/IP, NAT, DNS, load balancing, and firewalls.
Strong experience building and supporting production-grade distributed systems in Linux environments.
Experience developing production applications in one or more of the following languages: Go, Python, C/C++, or Rust.
Strong scripting and infrastructure automation experience using technologies such as Python, Bash, Terraform, Helm, Terragrunt, Groovy, or JavaScript.
Understanding of data structures, algorithms, and performance optimization concepts.
Experience designing and supporting highly available, scalable systems handling large volumes of data.
Experience with relational and NoSQL databases, including caching technologies such as Redis or AWS ElastiCache.
Experience with CI/CD practices and tools such as Jenkins or similar platforms.
Experience building and consuming REST-based APIs and services.
Familiarity with security best practices and secure infrastructure design principles.
Experience with monitoring and observability tools such as Prometheus, Grafana, ElasticSearch, Kibana, Jaeger and Kiali.
Understanding of cloud cost optimization, including balancing performance, reliability, scalability, and operational efficiency.
Strong problem-solving and communication skills with the ability to gather requirements, whiteboard solutions, and collaborate effectively across teams.
Experienced in maintaining operational runbooks, automation playbooks, and reliable cloud infrastructure procedures for production systems.
Experience with AI/ML infrastructure or platforms is considered an asset.
Benefits
Flexible Work Environment 💻
Summer Hours 🌞
Paid Vacation Days Off (in addition to Personal Days) 🌅
An IDEAS (Inclusion, Diversity, Equity, Awareness, Solidarity) team ⚖️
Weather is inclusive, we will be too. Our IDEAS team is committed to making this happen!
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