Remote Python/AWS Lambda developer jobs

We, at Turing, are looking for remote Python/AWS Lambda developers who will be responsible for designing, developing, and deploying complex software systems in a serverless architecture. Here's your chance to collaborate with industry veterans while working with the best U.S companies.

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Job description

Job responsibilities

  • Design, build, and deploy scalable and reliable applications on AWS
  • Code, test, debug, implement, and document efficient data-driven applications
  • Develop unit test plans to meet functional and technical requirements
  • Participate in software development processes like quality assurance, version control, and build processes
  • Resolve issues and validate programming requirements
  • Execute end-to-end web application architecture

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 3+ years of software development experience using Python and AWS Lambda (rare exceptions for highly skilled developers)
  • Strong grasp on AWS Lambda and other AWS services like API Gateway, S3, and SNS
  • Proven expertise in Python programming language
  • Expertise in at least one popular Python framework such as Django, Flask, etc.
  • Experience with relational and non-relational databases
  • Proficiency in implementation of best practices, performance improvements, and peer reviews
  • Fluent in English to communicate effectively
  • Ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred skills

  • Experience with Big Data tools like Hadoop, Apache Spark, and Kafka
  • Knowledge of software containerization and orchestration
  • Experience in Git and DevOps best practices
  • Familiarity with writing code for serverless architecture
  • Ability to work in an Agile software development team
  • Strong analytical, problem-solving, and team management skills

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How to become a Python/AWS lambda developer?

Python is a general-purpose programming language known for its versatility compared to its peers. It can be used for a wide variety of applications, including web development, machine learning applications, real-time applications, game development, and more. In general, Python can be utilized in the creation of virtually any application that requires data and mathematical computations.

AWS Lambda is a serverless computing platform offered by Amazon as part of the Amazon Web Services suite. Employers use AWS Lambda to extend other AWS services with custom logic or develop their own back-end services that run on AWS's computing resources.

AWS Lambda supports Python code that processes incoming events. With Lambda, you can run your Python code using the SDK for Python in an environment that includes credentials from an IAM role that you manage. As the use of Python/AWS Lambda increases, the demand for Python/AWS lambda developers has increased rapidly.

What is the scope in Python/AWS lambda development?

Amazon Web Services' Lambda provides event-driven, autonomous computing. The AWS Lambda service is designed for developers who want to run code without having to provision or manage servers. It can be used as a logic layer within an application.

You can run Python code in Amazon Web Services (AWS) Lambda. Lambda, a service that runs code in response to events or requests, provides runtimes for Python and other languages. You can write and upload your own Python code to runtime. Serverless is an emerging software architecture that allows developers to focus on the code they write instead of the underlying hardware and operating systems of cloud platforms. Industry experts predict serverless become more important in the coming years.

What are the roles and responsibilities of a Python/AWS lambda developer?

Python/AWS Lambda developers are in charge of creating, developing, and implementing complex systems in a serverless architecture.
Their responsibilities include:

  • Create, build, and deploy performant and dependable applications on AWS
  • Code, assess, optimize, implement, and record effective data-driven applications
  • Create unit test plans to ensure that functional and technical criteria are met
  • Engage in software development processes such as quality assurance, version control, and building
  • Address conflicts and validate programming specifications
  • Implement an end-to-end web application architecture

How to become a Python/AWS lambda developer?

A Python/AWS lambda developer is in high demand and is a popular choice among all IT professionals these days. It's not as difficult as it sounds to become a Python/AWS lambda developer. The most apparent and well-known path to becoming a Python/AWS lambda developer is to pursue college-level computer science courses or a degree/diploma in computer science. It is worth noting, however, that you do not need a computer science degree to work as a Python/AWS lambda developer. All you need are the necessary skills, a programming language, and knowledge of serverless architecture.

Python/AWS lambda developers can choose from a variety of roles and job domains based on their skills. Python and AWS Lambda will be used to implement, develop, and debug your project. Assume responsibility for writing code, testing, and debugging programs, among other things.

Now, let us discuss the skills and methods you'll need to master in order to become a successful Python/AWS lambda developer:

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Skills required to become a Python/AWS lambda developer

The first step is to start learning the fundamental skills that can get you lucrative Python/AWS lambda developers jobs. Let’s look at what you should know!

1. Application deployment

Deploying a web application to an EC2 instance is one of the most important skills for anyone who works with AWS Lambda. While there are several ways to deploy an application to AWS, developers must stay up-to-date with the latest methods as older ones become obsolete. Therefore, developers should know how to deploy an application manually to an EC2 instance and should have expertise in using CloudFormation to create an application's infrastructure and upload an application. You need to understand Elastic Beanstalk and how it helps with applications, as well as Elastic Container Service or Elastic Kubernetes Service for application deployment.

2. Python

Before diving into Python development using a particular framework, it is important for the developer to have a firm understanding of how the Python programming language works. It is crucial to master fundamental concepts such as variables, data types, exception handling, file handling, data structure, and object-oriented programming before applying for a Python/AWS lambda developer role.

3. Understand serverless service approach

Amazon Web Services' Lambda service is used by developers to manage more and more web application development problems efficiently. While Lambda is excellent for certain types of functionality, AWS Lambda developers need to understand when and why they should use the service for the best results.

4. ORM libraries

Python/AWS lambda developers use object-relational mappers (ORMs) to make changes in databases by using Python code instead of Structured Query Language (SQL). ORMs are libraries that facilitate the movement or transfer of data from a relational database to Python objects. When applying for jobs, be sure ORM is on your resume. Some of the popular Python ORMs are SQLAlchemy, Peewee ORM, Django ORM, PonyORM, and Tortoise ORM.

5. Multi-Process Architecture

When applying for a Python/AWS lambda developer position, it is important to understand the multi-process architecture and how the code will work during release or deployment environments. By understanding system architecture, a developer can easily identify and solve problems in the core Python framework and achieve better and optimized results.

6. AWS SDK

The AWS SDK is a collection of tools that help to build and develop applications using AWS services and allows our application to interact with AWS in the code. Being familiar with these tools enables AWS Lambda developers to take advantage of one of the powerful technologies available today.

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How to get remote Python/AWS lambda developer jobs?

Python/AWS lambda developers are a lot like athletes. To excel at their craft, they practice effectively and consistently. They also need to work hard enough that their skills grow gradually over time. In that regard, there are two major factors that Python/AWS lambda developers must focus on in order for that progress to happen: the support of someone who is more experienced and effective in practice techniques while you're practicing. As a developer, it's vital for you to know how much to practice - so make sure there is someone on hand who will help you out and keep an eye out for any signs of burnout!

Turing offers the best remote Python/AWS lambda developer jobs that suit your career trajectories as a Python/AWS lambda developer. Grow rapidly by working on challenging technical and business problems on the latest technologies. Join a network of the world's best developers & get full-time, long-term remote Python/AWS lambda developer jobs with better compensation and career growth.

Why become a Python/AWS lambda developer at Turing?

Elite US jobs
Career growth
Exclusive developer community
Once you join Turing, you’ll never have to apply for another job.
Work from the comfort of your home
Great compensation

How much does Turing pay their Python/AWS lambda developers?

At Turing, every Python/AWS lambda developer is allowed to set their rate. However, Turing will recommend a salary at which we know we can find a fruitful and long-term opportunity for you. Our recommendations are based on our assessment of market conditions and the demand that we see from our customers.

Frequently Asked Questions

Turing is an AGI infrastructure company specializing in post-training large language models (LLMs) to enhance advanced reasoning, problem-solving, and cognitive tasks. Founded in 2018, Turing leverages the expertise of its globally distributed technical, business, and research experts to help Fortune 500 companies deploy customized AI solutions that transform operations and accelerate growth. As a leader in the AGI ecosystem, Turing partners with top AI labs and enterprises to deliver cutting-edge innovations in generative AI, making it a critical player in shaping the future of artificial intelligence.

After uploading your resume, you will have to go through the three tests -- seniority assessment, tech stack test, and live coding challenge. Once you clear these tests, you are eligible to apply to a wide range of jobs available based on your skills.

No, you don't need to pay any taxes in the U.S. However, you might need to pay taxes according to your country’s tax laws. Also, your bank might charge you a small amount as a transaction fee.

We, at Turing, hire remote developers for over 100 skills like React/Node, Python, Angular, Swift, React Native, Android, Java, Rails, Golang, PHP, Vue, among several others. We also hire engineers based on tech roles and seniority.

Communication is crucial for success while working with American clients. We prefer candidates with a B1 level of English i.e. those who have the necessary fluency to communicate without effort with our clients and native speakers.

Currently, we have openings only for the developers because of the volume of job demands from our clients. But in the future, we might expand to other roles too. Do check out our careers page periodically to see if we could offer a position that suits your skills and experience.

Our unique differentiation lies in the combination of our core business model and values. To advance AGI, Turing offers temporary contract opportunities. Most AI Consultant contracts last up to 3 months, with the possibility of monthly extensions—subject to your interest, availability, and client demand—up to a maximum of 10 continuous months. For our Turing Intelligence business, we provide full-time, long-term project engagements.

No, the service is absolutely free for software developers who sign up.

Ideally, a remote developer needs to have at least 3 years of relevant experience to get hired by Turing, but at the same time, we don't say no to exceptional developers. Take our test to find out if we could offer something exciting for you.

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In a nutshell, Turing aims to make the world flat for opportunity. Turing is the brainchild of serial A.I. entrepreneurs Jonathan and Vijay, whose previous successfully-acquired AI firm was powered by exceptional remote talent. Also part of Turing’s band of innovators are high-profile investors, such as Facebook's first CTO (Adam D'Angelo), executives from Google, Amazon, Twitter, and Foundation Capital.

Equal Opportunity Policy

Turing is an equal opportunity employer. Turing prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, disability status, protected veteran status, or any other characteristic protected by law.

Explore remote developer jobs

briefcase
Terminal Bench Expert

About the projects: 

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L


About the Role: 

Looking for highly analytical engineers, researchers, and domain specialists to contribute benchmark tasks for AI agent evaluation systems (e.g., Terminal-Bench). Design realistic, technically deep tasks simulating real-world scenarios such as debugging, data corruption, infrastructure failures, and complex workflows.


What does day-to-day look like:

  • Design high-quality Terminal-Bench task ideas and specifications.
  • Develop complex tasks requiring reasoning, investigation, and debugging.
  • Write clear task descriptions, solution approaches, and verification logic.
  • Define deterministic, outcome-based evaluation criteria.
  • Identify realistic failure modes, edge cases, and operational constraints.
  • Create tasks that challenge AI systems while remaining solvable by experts.
  • Collaborate with reviewers to refine task quality and difficulty.
  • Contribute expertise across one or more specialized domains.

Required Skills:

  • 3–10 years of experience in software engineering or relevant domains.
  • Strong debugging, reasoning, and analytical skills.
  • Good understanding of system design, workflows, and dependencies.
  • Ability to analyze complex systems across multiple layers.
  • Experience with production systems, pipelines, or large-scale workflows.
  • Strong technical writing and documentation skills.
  • Exposure to LLMs, agentic systems, or AI evaluation frameworks.
  • Experience reviewing technical specifications or designing validation logic.

Domains (Any of the following):

  • Software Engineering & Code Operations
  • Debugging & Codebase Navigation
  • System Administration & Shell Workflows
  • File & Text Processing Pipelines
  • Data Engineering (ETL & Data Pipelines)
  • Database & SQL Operations
  • Machine Learning Pipelines & MLOps
  • Post-training & Model Finetuning Workflows
  • AI Evaluation & Benchmarking Systems
  • Retrieval, Search & Ranking Systems
  • GPU / Systems Performance Optimization
  • Distributed Systems & Infrastructure
  • Cloud & Platform Engineering
  • DevOps & CI/CD Systems
  • Build & Dependency Management
  • Scientific & Numerical Computing
  • Simulation & Optimization Systems
  • Formal Methods & Theorem Proving
  • Document & Structured Data Processing (PDFs, Excel, etc.)
  • Media Processing (Video, Audio, Images via CLI tools)
  • Programmatic Graphics & Design (SVG, layout, rendering)
  • Data Visualization & Reporting Workflows
  • Geospatial & Spatial Data Processing
  • Time-series & Forecasting Systems
  • Security, Forensics & Reverse Engineering
  • Cybersecurity & Vulnerability Analysis
  • Networking & API Integration Workflows
  • Automation & Multi-step Toolchain Orchestration
  • CLI Tooling & Developer Tool Workflows
  • Version Control & Git Workflows
  • Observability, Logging & Monitoring
  • Storage Systems & File Systems
  • Finance & Accounting Workflows
  • Quantitative Finance & Risk Modeling
  • Legal & Compliance Workflows
  • Healthcare & Clinical Data Processing
  • Supply Chain & Logistics Operations
  • Marketing & Growth Analytics
  • CRM & Sales Operations
  • HR & Recruiting Analytics
  • Consulting & Strategy Modeling
  • Investment Workflows
  • Operations Research & Decision Optimization
  • Benchmark Infrastructure, Adapters & Harness

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: 40 hours per week with overlap of 4 hours with PST
  • Employment type  : Contractor assignment (no medical/paid leave)
  • Duration of contract : 5 weeks; [expected start date is next week]
  • Location : Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam

Evaluation Process (approximately 75 mins) :

  • One round of technical evaluation (60 mins)
-
1-10 employees
Software DevelopmentLLM
briefcase
C++ Systems Software Engineer

About Turing:

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L


Role Overview:

We are seeking highly skilled C/C++ engineers to work with system-level libraries and tools such as OpenSSL, FFmpeg, glibc, libssh2, zlib, systemd, tcpdump and support infrastructure for AI-driven software engineering systems. In addition, you will play a key role in building the backend stack for model training and evaluation pipelines that support intelligent systems like the SWE Bench, where AI agents assist in real-world software maintenance and patching workflows


Responsibilities:

  • Develop, maintain, and extend high-performance, secure system software in C/C++.
  • Integrate and work with open-source projects such as OpenSSL, FFmpeg, glibc, systemd, tcpdump, libssh2, ImageMagick, and FreeRDP.
  • Design tools and infrastructure to support model training and evaluation workflows.
  • Build systems for suggesting code patches based on bug reports, issue descriptions, and vulnerability IDs.
  • Automate assessment of PRs and patch diffs for correctness and completeness.
  • Develop solution plans, set up reproducible environments, and evaluate test outcomes.
  • Collaborate with AI engineers on integrations involving Rust bindings and Python-based orchestration tools.
  • Analyze low-level system behavior using profiling, tracing, and debugging tools.
  • Write clear, maintainable code and documentation for internal systems and external libraries.

Required Qualifications:

  • Expert-level experience in C and/or C++ (C99+, C++11/14/17).
  • Strong understanding of systems programming, memory management, and networking internals.
  • Hands-on experience with Linux kernel, glibc, and multithreaded programming.
  • Familiarity with libraries such as OpenSSL, zlib, FFmpeg, libssh2, and ImageMagick.
  • Proficiency with debugging and diagnostics tools like gdb, valgrind, perf, and tcpdump.
  • Experience integrating or extending open-source libraries and toolchains.
  • Comfortable with build systems such as make, cmake, and autotools.
  • Experience with Python, bash scripting, and Docker.
  • Exposure to DevOps practices.

Good to have:

  • Experience with model evaluation workflows involving static and dynamic code analysis.
  • Understanding of AI-assisted code generation tools and feedback loops.
  • Background in building tools for test orchestration, sandboxing, and runtime validation.


Perks of Freelancing With Turing:

  • Work in a fully remote environment.
  • Opportunity to work on cutting-edge AI projects with leading LLM companies.
  • Potential for contract extension based on performance and project needs.

Offer Details:

  • Commitments Required : 40 hours per week with overlap of 4 hours with PST
  • Engagement type : Contractor assignment/freelancer (no medical/paid leave)
  • Duration of contract : 3 months; [expected start date is next week]
  • Location : Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam

Evaluation Process

  • 2 rounds of technical interview with 30 minutes each
-
1-10 employees
C++Open SourceShell Scripting
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