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.

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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?

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

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

Join a worldwide community of elite software developers.

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.

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.

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.

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
Senior Software Engineer (Ruby on Rails)

Who are we


U.S.-based fintech company specializing in providing real estate investors with streamlined access to capital. The company focuses on offering bridge and rental loans, aiming to simplify and expedite the financing process for residential real estate projects. By leveraging technology and data-driven solutions, we seek to empower investors to make informed decisions and scale their businesses efficiently.


Who we’re looking for 

  • We are looking for backend and full-stack engineers. The emphasis will be on the back end. We have both functional and cross-functional teams. The product-oriented teams are cross-functional and can work quickly without relying on dependencies to deliver the most impact in the shortest amount of time. These cross-functional teams operate like small independent business units with their own goals that align with the company's goals.
  • Experience: You are a proficient software engineer with 7+ years of professional experience and have worked in Ruby on Rails.
  • Team Player: You work in close collaboration with your teammates on a day-to-day basis, and with engineers on other teams when facing cross-cutting challenges. You are willing to ask for and give help.
  • Product-focused: You take pride in building high-quality, user-friendly products.
  • Problem solver: You excel at understanding and breaking down complex problems. You pay attention to detail. 
  • Great communicator: You are candid and honest. You can adapt your communication style to different audiences and you can effectively communicate in writing and in person  or on a video call. 
  • Self-driven: You make things happen. You show a strong desire to succeed and are looking for opportunities to learn and grow.
  • Productive/Impact-oriented: You understand product requirements and shape your work to achieve maximal impact. You use and improve on team processes and technologies and seek out and eliminate waste.
  • Leadership: You show the ability to grow your leadership skills. You engage in  peer-mentorship and focus on sharing your areas of expertise and strengths.


Your day to day 

  • Engineer: Implement well-tested features in our web applications and back-end loan origination services.
  • Maintain a high quality bar: Champion code quality with thorough PR review, focusing on test automation using unit, integration and end-to-end testing.
  • Reduce Technical Debt: Identify and act on opportunities to improve the existing code base before accomplishing the task at hand. 
  • Execute: Focus on delivering high impact initiatives that provide value to the customer on a daily basis. 
  • Collaborate: Work in a highly collaborative environment both closely with other engineers,and with our design and product teams as well as with our business stakeholders to build the right solutions for our customers.
  • Think Customer-first: Ensure that our customers are successful and happy. 
  • Define Technical Strategy: Build software consistent with the company’s technical strategy and architectural design. Contribute new ideas and improvements to the architecture.

Nice to have

  •  Programming Languages: Ruby, JavaScript, TypeScript, and Kotlin are the languages we use most. Ruby is the emphasis for this role.
  • Frontend Frameworks: React, GraphQL, Next.js
  • Backend Frameworks: Rails, Node.js, Kafka
  • Databases: Postgres, Redis 
  • Service Oriented Architecture: We are shifting from being a monolithic Rails application to a distributed set of services. Experience having done this in the past is
    super useful to us.
  • AppSec: We handle customer’s private information and we move billions of dollars around. Having experience with application security is important to us.


Offer Details

  • Contractor position (no medical/paid leave)
  • Full-time dedication (40 hours/week)
  • 6-hour overlap with PST (Pacific Standard Time)
Finance
251-10K employees
Ruby on Rails
briefcase
Sr. Data Scientist/Machine Learning Engineer

Sr. Data Scientist/Machine Learning Engineer

Job Summary:

We are seeking a highly skilled Data Scientist/Machine Learning Engineer to design, develop, and deploy advanced machine learning models for our digital advertising recommendation engine. You will leverage years of campaign data, along with performance metrics, to provide clients with data-driven insights on optimal digital product selection, budget allocation, and target demographics. You will work closely with Data Engineers and Backend Engineers to ensure seamless integration and deployment on Google Cloud Platform (GCP).

Responsibilities:

  • Design, develop, and implement machine learning models (e.g., regression, classification, collaborative filtering, deep learning) to predict campaign performance and generate recommendations.
  • Perform feature engineering, data cleaning, and preprocessing to prepare data for model training.
  • Evaluate model performance using appropriate metrics and iterate to improve accuracy.
  • Deploy and maintain machine learning models on Vertex AI.
  • Utilize BigQuery to extract, transform, and analyze large datasets.
  • Optimize model parameters for cost and performance on GCP.
  • Collaborate with Data Engineers to build and maintain data pipelines.
  • Stay up-to-date with the latest advancements in machine learning and AI.
  • Communicate findings and insights to stakeholders through clear visualizations and reports.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
  • 10+ years of software development experience; 5+ years building ML models
  • Proven experience in developing and deploying machine learning models.
  • Strong programming skills in Python (with libraries like scikit-learn, TensorFlow, PyTorch).
  • Expertise in data manipulation and analysis using SQL and BigQuery.
  • Experience with Google Cloud Platform (GCP) and Vertex AI.
  • Knowledge of statistical modeling and machine learning algorithms.
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration skills.
  • Experience leveraging LLM for specific tasks, e.g. improving data quality or generating explainable text from existing datasets.

Business Services
51-250 employees
Machine LearningData SciencePython+ 4
sample card

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