Senior Software Engineer – DevOps

Turing; United States; Remote; USD 28,000 - 40,000; Full time

Benefits offered by this job

Fully remote environment

Work on cutting-edge AI projects withL

Leading LLM companies

Job summary

Turing is seeking a skilled AWS DevOps Engineer to develop and support self-service automation for developers, focusing on infrastructure automation, CI/CD pipelines, and security automation in AWS.

Remote-first contractor role with overlap hours for PST; 4+ hours daily and 40 hours weekly. Pay is task-based at $25 per approved task, with projects across multiple regions.

Qualifications

• 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.

Responsibilities

• Develop and support self-service automation tools for developers.
• Design and implement CI/CD pipelines to build, test, and deploy applications.
• Automate infrastructure provisioning using 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.

Skills

DevOps

AWS

Python

Go

CI/CD

Docker

Java

Git

Teamwork

Communication

Education

Bachelor's degree in CS/SE or equivalent

Tools

CloudFormation

Lambda

DynamoDB

SQS

ECS

API Gateway

Kinesis

Job description

Develop and support self-service automation tools for AWS developers.

About Turing

Turing 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.

Key Responsibilities

• 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.

Required Qualifications

• 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.

Perks of Freelancing With Turing

• Work in a fully remote environment.

• Opportunity to work on cutting-edge AI projects with leading LLM companies.

Offer Details

• 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)

• Duration of contract: 1 month; [expected start date is next week]

• Payment model: $25 per approved task

• Location: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Mexico, LATAM

Skills

DevOps