Forward Deployed Engineer deploying AI solutions in the public sector. Collaborating closely with clients to implement Cohere's technology.
About the role
- 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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