Cloud Engineer for AI and Python Solutions
2 weeks ago
Arya.ai is a pioneering deep learning startup that has made significant contributions to the field. Founded by Vinay and Deekshith from IIT Bombay in 2013, the company started as an open-source tool provider for deep learning in 2015 and now offers a verticalized AI Platform for Banks, Insurers, and Financial Services.
With over 100+ FSI logos across the globe, Arya.ai solves critical problems in AI adoption, including explainability, safety, and alignment. The team of world-class researchers has contributed numerous advancements to the community through continuous research on complex problems.
We are seeking an experienced DevOps Engineer with strong Python development skills to join our team. In this role, you will be responsible for designing, implementing, and maintaining cloud infrastructure, developing Python-based servers, and ensuring scalability across a multi-cloud environment.
Key Responsibilities
- Design and develop Custom Built Serverless systems for high-volume traffic and real-time processing.
- Architect and implement cloud infrastructure across AWS, Azure, and GCP for scalability and performance.
- Implement and manage container orchestration systems such as Kubernetes and ECS, ensuring optimal performance across cloud environments.
- Develop and maintain Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, or Pulumi.
- Experience with building Serverless services using Batch and Jobs.
- Build, maintain, and optimize CI/CD pipelines for automated deployment and scaling of both serverless and containerized applications.
- Implement robust monitoring, logging, and alerting systems to ensure high availability, fault tolerance, and disaster recovery.
- Optimize cloud resource utilization for cost-effectiveness and performance improvements.
- Collaborate with development teams to integrate and manage APIs, microservices, and databases (SQL/NoSQL) in scalable environments.
- Ensure the security and compliance of our infrastructure and applications, applying cloud-native security best practices.
- Troubleshoot and resolve complex issues in both development and production environments.
- Stay current with industry trends and emerging technologies, especially in cloud, DevOps, and Python development.
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 3+ years of experience in DevOps, Cloud Engineering, or Python Development roles.
- Expertise in cloud platforms (AWS, Azure, GCP), with strong knowledge of their services, particularly for serverless, compute, and storage solutions.
- Proficient in Python development, with experience in building and maintaining Python servers and APIs.
- Advanced understanding of containerization (Docker) and orchestration systems (Kubernetes).
- Strong hands-on experience with Infrastructure as Code (Terraform, CloudFormation, Pulumi) and automation scripting.
- Proficiency in building, managing, and optimizing CI/CD pipelines using tools such as Jenkins, GitLab CI, or GitHub Actions.
- Familiarity with monitoring and observability tools (Prometheus, Grafana, ELK stack) for troubleshooting and system insights.
- Solid understanding of cloud security, networking concepts, and security best practices in cloud environments.
- Excellent problem-solving skills, attention to detail, and ability to thrive in a fast-paced environment.
Salary: ₹80 Lacs - ₹1 Cr per annum, depending on experience
Benefits
- Opportunity to work on cutting-edge cloud and serverless technologies
- A collaborative and innovative work environment that encourages creativity and pushes technological boundaries
- Competitive benefits package
- Professional development and learning opportunities
- Remote work options
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