Remote Python/Kubernetes engineer jobs

We, at Turing, are looking for talented remote Python/Kubernetes engineers who will be responsible for developing the Kubernetes platform for clients using Python code. Get a chance to work with the leading Silicon Valley companies while accelerating your career.

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Job description

Job responsibilities

  • Deploy, automate, maintain, manage and optimize cloud infrastructure
  • Ensure availability, performance, scalability, and security of production systems
  • Automation of Kubernetes API for deployment, updates, patching, etc.
  • Design, test, implement continuous integration and deployment pipelines
  • Evolve the Kubernetes-based infrastructure by performing security, performance, and availability assessments
  • Troubleshoot production issues, source code, and deployment issues
  • Install, configure and maintain Windows and Linux server software
  • Work on a cross-functional team to build easy to understand solutions
  • Collaborate with the IT team to align IT with the overall client direction, strategy, and vision

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 3+ years of professional experience with Kubernetes and Python implementation in large/medium scale enterprise environments (rare exceptions for highly skilled developers)
  • In-depth knowledge of Python programming and its libraries
  • Sound experience in Diameter and Kubernetes
  • Knowledge of operators, frameworks, networking, logging/monitoring & infrastructure
  • Demonstrable expertise in shell scripting, PowerShell, Docker, and Google Cloud Compute (GCC)
  • In-depth knowledge in Django or a similar framework
  • Strong experience with source code management, CI/CD tools, Linux/Unix administration
  • Experience with automation management using Puppet, Chef, Ansible, Terraform, or other similar tools.
  • Fluency in English language for effective communication
  • Ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred skills

  • Ability to build and administer VMs and Containers
  • Knowledge of HashiCorp Vault Consul
  • Professional Certificates in AWS and DevOps is preferred
  • Great critical thinking and problem-solving skills
  • Excellent communication and organizational skills

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How to become a Python/Kubernetes engineer?

We all know that Python has many striking features that give engineers an edge over other programming languages. Since its inception, Python has been a preferred choice of developers for over 3 decades. Learning Python is easy and less time-consuming, and its features make it efficient. It is used for back-end development, web development, IoT, machine learning, gaming applications and many more. In short, it is used for developing any applications that require mathematical calculations and data. To deploy Python applications, you need an open-source container orchestration system that’s where Kubernetes come into the picture. And if you learn both then you will have a booming career as a Python/Kubernetes engineer.

Since Python is developer-friendly and easy to learn for beginners, there is an inclination of developers towards the language. So if you’re looking to have a fruitful career as a Python/Kubernetes engineer, here is the full article that entails everything you need to know about being a Python/Kubernetes engineer.

What is the scope of Python/Kubernetes engineering?

Whether you want to run a complex application or a simple one, Kubernetes is your solution to deploy or scale your applications. Kubernetes is an open-source container used for the deployment and management of applications. It was introduced by Google in 2014 and is now looked after by the Cloud Native Computing Foundation. It assists you in deploying, scaling and rolling out new options.

However, learning Kubernetes takes time. It has a steep learning curve. So Python engineers can create development workflows on Kubernetes. Kubernetes applications are native to the cloud. In the next section, we will learn more about the roles and responsibilities of a Python/Kubernetes engineer.

What are the roles and responsibilities of a Python/Kubernetes engineer?

A Python/Kubernetes engineer is responsible for developing applications for the Kubernetes platform using Python code. Other responsibilities of a Python/Kubernetes engineer are as follows:

  • Maintain performance and security of production systems
  • Understanding how to improve infrastructure
  • Troubleshooting errors to ensure deployment
  • Familiarity with installation, the configuration of server software
  • Collaborate with different team members to build understanding and get the desired results.
  • Design, deploy, test pipelines for high-quality performance

How to become a Python/Kubernetes engineer?

To begin your career as a Python/Kubernetes engineer, you need experience, expertise and skill set. The best way to go about it is to start with an undergraduate degree in computer science or programming. Knowledge of Python programming languages will help you build a better foundation for the future. In addition to the technical skills, non-technical skills are also important if looking to have a flourishing career as a Python/Kubernetes engineer.
Along with the professional degree, you should also have familiarity with Python and experience. To keep yourself updated with the latest trends, you must learn daily. You can also take up various online tests to polish your skills. All of this will help you get a full-time high-paying job as a Python/Kubernetes engineer in silicon valley companies. You will read more about skills in the coming section.

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Skills required to become Python/Kubernetes engineer

The primary step in getting close to your dream job is to know about the skills and master them. A skill set of a Python/Kubernetes engineer is as follows:

1. Kubernetes

Kubernetes is an open-source container orchestration system that simplifies the deployment and maintenance process. It assists in developing applications that are scalable, reliable and high performance. Kubernetes with Python can create endless opportunities in application development.

2. Python

If you’re looking to have a career as a Python/ Kubernetes engineer, you should have in-depth knowledge of languages. Knowing the language will help you leverage features that will make your work easy. Python engineers can create development workflows on Kubernetes. Kubernetes applications are native to the cloud. You can use Python libraries and manage Kubernetes resources.

3. Docker

Docker is an easy to use tool that helps developers and gives them an edge over other developers as it makes the process smooth and efficient. Since its inception in 2013, docker has been loved by developers and engineers everywhere. It has over 105 billion containers downloaded, As mentioned by Docker Inc.

4. Problem Solving and soft skills:

As an engineer, you must always be proactive and solve problems as it will help you in the longer run. As a Python/Kubernetes engineer, you may find errors that hamper the progress of the project. Plus, good communication skills ensure that you effectively communicate with your teammates. Plus, it will help you interact with clients and understand the requirements.

Interested in remote Python/Kubernetes engineer jobs?

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How to get remote Python/Kubernetes engineer jobs?

Well, If you have skills and experience getting a remote Python/Kubernetes engineer job won’t be difficult for you. If you’re looking for Python/Kubernetes engineering opportunities, sign up at Turing. Turing helps Python/Kubernetes engineers get their remote dream job. However, to get a job as a Python/Kubernetes engineer, you should have a minimum of 3 years of professional experience. Once you sign up at Turing, you find a job that will align with your career goals. You can become a part of the developers' community and learn and grow with them.

Why become a Python/Kubernetes engineer at Turing?

Elite US jobs

Long-term opportunities to work for amazing, mission-driven US companies with great compensation.

Career growth

Work on challenging technical and business problems using cutting-edge technology to accelerate your career growth.

Exclusive developer community

Join a worldwide community of elite software developers.

Once you join Turing, you’ll never have to apply for another job.

Turing's commitments are long-term and full-time. As one project draws to a close, our team gets to work identifying the next one for you in a matter of weeks.

Work from the comfort of your home

Turing allows you to work according to your convenience. We have flexible working hours and you can work for top US firms from the comfort of your home.

Great compensation

Working with top US corporations, Turing developers make more than the standard market pay in most nations.

How much does Turing pay their Python/Kubernetes engineer?

If you’re looking to spin up your career, Turing is your one-stop destination. At Turing, every developer is allowed to set their own price. We do recommend salaries based on the requirements of our clients, market condition and skill set. So sign up to get a high-paying lucrative job from the comfort of your home.

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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Leadership

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.

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Explore remote developer jobs

briefcase
Senior Full-Stack LLM Engineer (Onshore)

Senior Full-Stack LLM Engineer (Onshore)
Dallas Texas - Work from Office

We are seeking an experienced Full Stack Engineer who possesses extensive hands-on expertise across the contemporary technology stack and a collaborative mindset. The ideal candidate will effectively collaborate with cross-functional teams, introduce and advocate for the most recent tools and frameworks, and drive engineering excellence throughout the organization.

As part of this role, the candidate will be responsible for designing and developing high-quality, production-grade code while adhering to industry best practices, coding standards, and architectural principles. Beyond individual contributions, the candidate will play a pivotal role in mentoring and training Jr developers—guiding them through code reviews, knowledge-sharing workshops to accelerate their growth, strengthen their technical foundation, and foster a culture of continuous learning within the team.

Must-Have Technologies: ReactJS, Java 17+, Microservices, AWS/Azure, RDBMS, NoSQL

Core Technical Skills

· 10+ years of hands-on software development experience, with deep expertise in modern Java Full Stack development.

· Strong command of Java frameworks and libraries, including Spring, Spring Boot, and Hibernate.

· Proven experience building single-page web applications using ReactJS, Bootstrap, and Nodejs.

· Hands-on experience designing, developing, and deploying cloud-based architectures on AWS, Azure, or equivalent platforms.

· Expertise developing Java and Spring Boot applications backed by both relational (SQL Server / PostgreSQL) and NoSQL (MongoDB / Elasticsearch) databases.

· Practical experience integrating Large Language Models (LLMs) into applications via APIs (e.g., OpenAI, Anthropic Claude, Azure OpenAI, AWS Bedrock).

· Familiarity with prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases.

· Understanding of responsible AI practices, including data privacy, hallucination mitigation, evaluation, and guardrails.

· Solid hands-on experience developing production applications, data processing scripts, automation tooling, or backend services in Python.

· Working knowledge of modern security frameworks and standards such as OAuth 2.0, OpenID Connect, and JWT.

· Proficient in designing and building RESTful APIs and web services following industry best practices.

· Strong SQL development skills, including query optimization and performance tuning.

· Experience with modern testing frameworks (Jest, Mocha, Chai) and a commitment to test-driven development.

· Solid understanding of front-end architecture principles and data-driven UI development.

· Demonstrated ability to write clean, efficient, and maintainable code that adheres to coding standards and best practices.

· Excellent problem-solving and troubleshooting skills for diagnosing complex technical issues.

Leadership & Soft Skills

· Proven ability to lead, mentor, and grow engineering teams, fostering a culture of technical excellence and continuous learning.

· Experience driving architectural decisions and setting technical direction across cross-functional teams.

· Strong stakeholder management skills, with the ability to translate business requirements into scalable technical solutions.

· Track record of leading end-to-end delivery of complex projects, from design through deployment.

· Effective communicator who can articulate technical concepts clearly to both technical and non-technical audiences.

· Skilled at conducting code reviews, establishing engineering best practices, and raising the bar for code quality across the team.

· Ability to collaborate with product managers, designers, and business stakeholders to align engineering efforts with organizational goals.

· Experience coaching junior engineers, conducting performance reviews, and contributing to hiring and talent development.

· Strategic thinker who can balance short-term delivery pressures with long-term technical investments and technical debt management.

· Ownership mindset — takes accountability for outcomes and proactively drives initiatives forward.

Good to Have (Palantir)

· Hands-on experience with the Palantir foundry, including building pipelines, ontologies, and data-driven applications.

· Familiarity with Palantir's development tooling such as PySpark transforms, TypeScript-based Functions, Workshop.

· Exposure to enterprise-scale data integration and operational analytics workflows built on Palantir.

· Exposure to AI/ML frameworks and tooling such as LangChain, LlamaIndex, Hugging Face, or equivalent.

· Ability to identify and apply AI-driven solutions to real-world business problems and integrate them into enterprise applications.

Real Estate
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Engineering Manager (Java, React – Playwright)

Job Title: Engineering Manager (Java, React, AI Tools)

Location: Dallas, Texas
Experience: 10+ years (with 3+ years in leadership roles)

About the Role

We are looking for an experienced Engineering Manager to lead a high-performing, full-stack engineering team working on scalable, enterprise-grade applications. This role requires a strong technical background across backend, frontend, data, and QA automation, along with proven leadership capabilities.

You will be responsible for driving technical excellence, mentoring engineers, and ensuring high-quality product delivery in a fast-paced environment.

Key Responsibilities

  • Lead and manage a cross-functional engineering team (backend, frontend, QA)
  • Drive design, development, and delivery of scalable applications using Java and React
  • Oversee end-to-end software development lifecycle, including architecture, coding, testing, and deployment
  • Champion automation-first QA practices using tools like Playwright (TypeScript)
  • Collaborate with product managers, designers, and stakeholders to define technical roadmaps
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Required Skills & Qualifications

  • 10+ years of software engineering experience
  • 3+ years of experience in an Engineering Manager / Tech Lead role
  • Mandatory experience in the Retail domain
  • Demonstrated ability to operate at a strategic level, including defining team structures, ownership models, and long-term technical direction
  • Proven experience driving engineering outcomes beyond execution, including stakeholder alignment and measurable business impact
  • Strong hands-on experience with:Java (Spring Boot or similar frameworks)
    React / JavaScript (modern frontend frameworks)
    SQL and/or Python
  • Experience leading full-stack development teams
  • Solid understanding of system design, microservices, and APIs
  • Strong ability to think at system, product, and organizational level, including making architecture and business trade-offs
  • Experience with QA automation frameworks, especially:Playwright with TypeScript
  • Familiarity with CI/CD pipelines and modern DevOps practices
  • Hands-on experience leveraging AI tools (e.g., Cursor, Windsurf, Claude Code, OpenAI Codex, or similar) to improve developer productivity, code quality, or delivery workflows
  • Strong people management skills, including experience with performance management, team scaling, and handling team challenges
  • Ability to operate effectively in ambiguous environments and manage delivery risks
  • Excellent communication and stakeholder management abilities
Manufacturing
10K+ employees
Core JavaSpring BootReact+ 5
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