Software Engineer, AI Platform
New
Ankara, Türkiye - RemoteFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 4-6 years
- Required Skills
- AWSNode.jsPythonArtificial IntelligenceKubernetesGoDevOps
Requirements
- 4-6 years of experience in software engineering, with a significant focus on building and scaling platforms.
- Proven experience in designing, building, and deploying machine learning models and AI-driven systems in a production environment.
- Strong background in platform engineering, including building reusable services, APIs, and infrastructure.
- Experience across the entire software development lifecycle, from requirements gathering and design to development, testing, and deployment.
- Hands-on experience creating and managing intelligent agents or similar automated systems.
- Extensive experience with cloud platforms (e.g., AWS, GCP, Azure) and modern DevOps practices, including CI/CD, Infrastructure as Code (IaC), and observability tools.
- Proficiency in Go, Python, and Node.js.
- Ability to navigate ambiguity and deliver high-quality solutions.
Responsibilities
- Design, develop, and implement highly scalable and reliable full-stack applications using Go, Python, Node.js, and relevant front-end frameworks.
- Work extensively with AWS Cloud Services, including but not limited to EC2, S3, Lambda, DynamoDB, RDS, SQS, and SNS.
- Manage and deploy containerized applications using Kubernetes, ensuring high availability and performance.
- Collaborate with product managers, UX/UI designers, and other engineers to translate business requirements into technical solutions.
- Write clean, maintainable, and well-documented code, adhering to best practices and coding standards.
- Participate in code reviews, providing constructive feedback and ensuring code quality.
- Troubleshoot and debug production issues, providing timely resolutions.
- Contribute to the continuous improvement of our development processes and tools.
- Stay up-to-date with emerging technologies and industry trends, evaluating their potential impact on our products.
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