Senior Software Engineer – DevOps

About TuringTuring is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.

About the Role: We are seeking a highly skilled AWS DevOps Engineer to join our team. The ideal candidate will have extensive experience with AWS technologies, infrastructure automation, and continuous delivery pipelines. This role involves developing and supporting self-service automation for developers, optimizing cloud costs, and implementing security policies. If you are a detail-oriented team player with strong communication skills, we encourage you to apply.

Key Responsibilities:

Required Qualifications:

Perks of Freelancing With Turing:

Offer Details:

• Develop and support self-service automation tools for developers.
• Design and implement continuous integration and continuous delivery (CI/CD) pipelines to build, test, and deploy applications.
• Automate infrastructure provisioning using AWS CloudFormation.
• Optimize cloud costs by implementing auto-scaling and down-scaling solutions.
• Implement security automation to enforce policies across AWS accounts.
• Collaborate with product teams to architect new workloads.
• Minimum of 5 years of experience in AWS infrastructure automation with CloudFormation.
• Strong experience with multiple AWS services, including Lambda, DynamoDB, SQS, ECS, API Gateway, and Kinesis.
• Proficiency in software development using Python or Go.
• Experience in an Agile development environment.
• Familiarity with containerization technologies such as Docker.
• Experience with Java tooling, including Maven and Spring.
• Proficiency with version control systems, particularly Git.
• Strong communication skills, attention to detail, and ability to work effectively in a team environment.
• Bachelor's degree in Computer Science, Software Engineering, or equivalent experience.
• US-based with remote work capabilities.
• Work in a fully remote environment.
• Opportunity to work on cutting-edge AI projects with leading LLM companies.
• Commitments Required: At least 4 hours per day and 40 hours per week with overlap of 4 hours with PST.
• Employment type : Contractor assignment (no medical/paid leave)