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Job Description
The Software Engineer will design, develop, and deploy backend systems and cloud infrastructure for a cutting-edge weather forecasting platform utilizing machine learning, focusing on speed, scalability, and performance. The role involves collaborating with a multidisciplinary team to bring machine learning models to production and iterating quickly in a fast-paced, innovative environment.
Key Responsibilities
- Design, develop, and deploy backend pipelines, services, and cloud infrastructure.
- Influence technical strategy and optimize system design.
- Deploy ML models for real-world decision-making.
- Address performance bottlenecks and refactor critical systems.
- Prototype and iterate quickly with short feedback cycles.
Requirements
- Bachelor's degree or higher in Computer Science or a related field.
- 5 years of experience in a Software Engineering role.
- Deep experience with modern Python in large-scale production systems.
- Ability to make pragmatic, fast-paced decisions while managing technical debt effectively.
- Proactive in identifying problems, performance bottlenecks, and areas for improvement.
- Familiarity with multi-cloud environments including GCP, AWS, and Cloudflare.
- Experience with infrastructure-as-code tools like Pulumi.
Benefits & Perks
Compensation/salary range
Hybrid working model
Creative freedom
Generous stock options
Collaborative, remote-first culture
Flexibility that fits your lifestyle
Opportunity to work on groundbreaking technology
Impactful industry experience
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