Pelmorex
Technology
InfrastructureEngineer-Contract-Hybrid
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Infrastructure Engineer - Contract - Hybrid at Pelmorex. Skills: Kubernetes, AWS, Infrastructure automation, Distributed systems. Design meteorological infrastructure core services. Implement meteorological infrastructure core services”
What You'll Achieve.
Improve productivity; Accelerate delivery; Enhance code quality; Support troubleshooting; Streamline operational tasks; Maintain quality; Maintain accountability; Ensure systems function as intended; Ensure services stay available; Ensure services stay stable
Industry & Context.
Problem-solving; Troubleshooting; Diagnose issues; Drive solutions
What They're Looking For.
Must Have
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, 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, Experience building and supporting production-grade distributed systems in Linux environments, Experience developing production applications in Go, Python, C/C++, or Rust, Scripting and infrastructure automation experience using 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, Problem-solving and communication skills, Experienced in maintaining operational runbooks, automation playbooks, and reliable cloud infrastructure procedures for production systems
Nice to Have
Experience with AI/ML infrastructure or platforms is considered an asset, Keen interest in data and data mining, Experience with spatiotemporal data sets and scientific data formats including netCDF, HDF, GRIB and BUFR would be a plus, Experience in Ansible, Education or experience in applying ML/AI to augment data analysis
What You'll Do.
Design meteorological infrastructure core services
Implement meteorological infrastructure core services
Improve monitoring system
Use AI-assisted development tools
Provide technical advice
Produce effort estimates
Execute work based on priorities
Work with cross-functional teams
Ensure systems function as intended
Develop monitoring systems
Integrate monitoring systems
Work with Technology Operations team
Ensure end-to-end data monitoring
Create distributed applications
Create multi-tier applications
Create applications servicing large data volumes
Provide support to operational teams
Ensure services stay available
Ensure services stay stable
Maintain operational runbooks
Maintain automation playbooks
Maintain reliable cloud infrastructure procedures
How You'll Work.
Team & Collaboration
Cross-functional teams; Technology Operations team
Communication Scope
Technical advice; Written communication; Verbal communication
Process & Methodology
Priorities management
Full Job Description
## Description ARE YOU INTERESTED IN A WORKPLACE THAT HAS... ## WHAT'S THE DAY TO DAY LIKE? 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. Core services run with AWS S3, SQS, SNS, FSx, ECS, EC2, Elasticache and ALB/NLB resources. 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. This includes the development and/or integration of monitoring systems. 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. Roles, responsibilities and duties may evolve and change over time. ## WE ARE HOPING YOU HAVE 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 plat
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