Senior Rust Engineer

The Opportunity

The Software Engineer is responsible for designing, developing new features, enhancements and services for the meteorological platforms that powers The Weather Network, MeteoMedia, ElTiempo.es, and subsidiaries. The systems must have high availability, fast response times and scalability to support 4 billion global locations with high quality data. Are you up for the challenge?

In this position, the successful candidate works with other technology and business units to define and implement functional specifications for meteorological related applications; to maintain various applications as part of an iterative, agile development process; to write clean code and demonstrate expertise in working with complicated algorithms. Background in meteorology is a “nice to have”, but if you don’t, don’t worry you will be working closely with our Meteorology R&D team and have the support of the current development team.

The engineer will participate in requirements analysis and help design, implement, integrate, test, document and deploy backend meteorological systems and processes. The developer will also provide professional technical support and be well-versed in SDLC and building robust, high performance systems.

What’s the Day to Day Look Like:

• Conceptualize, design, document, develop and implement high quality, high availability, high scalability, high performance based software solutions pertaining to Meteorological systems as per project road map and requests initiated by business units or the Technology departments.
• Work within an Agile software development process.
• Build products to run through a CI/CD pipeline.
• 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.
• Work with Technology teams to produce effort estimates on the various work required; execute work based on sprint 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.
• Perform unit testing, integration testing, and other automated testing; work closely with QA team to address defects as they arise to ensure production of high quality software.
• Architect designs for reuse, scalability, flexibility and customizability.
• Work with Technology teams to continuously analyze in-house software systems, identify weaknesses and propose changes for improvement.
• Provide support to our operational teams for the relevant production systems.

What we’ll expect from you:

• 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.

What would be nice for you to have:

• Keen interest in data and data mining, problem solving