About the Role
Join Cast AI as a Remote Senior Software Engineer and shape the future of cloud automation and optimization. In this role, you'll be at the forefront of developing innovative solutions that enhance cloud infrastructure efficiency and scalability. As a key member of our engineering team, you will work on cutting-edge technologies and collaborate with talented professionals from around the globe.
What You'll Do
- Design and implement scalable cloud automation solutions that improve operational efficiency.
- Collaborate with cross-functional teams to gather requirements and deliver high-quality software.
- Participate in code reviews and provide constructive feedback to peers.
- Utilize modern software development practices, including Agile methodologies.
- Continuously improve existing systems and processes to enhance performance and reliability.
Requirements
- 5+ years of experience as a software engineer, with a focus on cloud technologies.
- Proficiency in programming languages such as Python, Java, or Go.
- Strong understanding of cloud platforms (AWS, Azure, GCP).
- Experience with containerization technologies (Docker, Kubernetes).
- Excellent problem-solving skills and ability to work in a fast-paced environment.
Nice to Have
- Experience with CI/CD pipelines and DevOps practices.
- Familiarity with microservices architecture.
- Knowledge of infrastructure as code (IaC) tools like Terraform or CloudFormation.
What We Offer
- Competitive salary ranging from $140,000 to $200,000 per year.
- Fully remote work environment with flexible hours.
- Opportunities for professional development and growth.
- Health and wellness benefits.
- Collaborative and inclusive company culture.
This Remote Senior Software Engineer position at Cast AI offers a competitive salary and the chance to work on innovative cloud automation solutions.
Who Will Succeed Here
Proficiency in cloud service architectures with hands-on experience in AWS, Azure, and GCP, enabling the design of scalable cloud automation solutions.
Strong understanding of container orchestration using Docker and Kubernetes, combined with a proactive mindset to optimize CI/CD pipelines for continuous delivery.
Demonstrated expertise in infrastructure as code using Terraform, paired with a results-driven attitude to enhance cloud infrastructure efficiency.
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