Remote Kubernetes developer jobs

We, at Turing, are looking for Kubernetes developers who can manage the cloud infrastructure, automate deployment & operation, and scale across containers in various environments. Here's your chance to accelerate your career while working with top industry veterans.

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Job description

Job responsibilities

  • Automation of Kubernetes API for deployment/updates/patching, etc.
  • Design, develop & deliver products that are fully functional, troubleshoot and fix bugs
  • Provide a high-quality user experience, and overcome scalability issues
  • Write clean, readable codes, perform unit and integration tests
  • Analyze & enhance the performance of the applications & deliver high-quality solutions

Minimum requirements

  • Bachelor’s/Master’s degree in Computer Science (or equivalent experience)
  • 3+ years of working experience in Kubernetes (rare exceptions for highly skilled developers)
  • Knowledge of operators, frameworks, networking, logging/monitoring & infrastructure
  • Experience with container technologies like Docker
  • Experience configuring & running Kubernetes environments
  • Familiarity with the Kubernetes SDK & development of Kubernetes operators
  • Fluent in English communication (both verbal and written)
  • Ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred skills

  • Good understanding of CI/CD pipelines, CPU, memory, cluster & pod health
  • Willingness to collaborate with other teams & a strong product sense is a plus
  • Exceptional problem-solving and analytical abilities
  • Excellent time management skills

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How to become a Kubernetes developer ?

Kubernetes (also known as K8s) is an open-source system for automating containerized application deployment, scaling, and administration. Google was one of the first companies to embrace Linux container technology.

The main benefit of implementing Kubernetes in your environment, especially if you're optimising app development for the cloud, is that it provides a framework for scheduling and running containers on physical or virtual machine clusters (VMs). It also aids you in fully implementing and relying on a container-based infrastructure in production scenarios. And, because Kubernetes is focused about automating operational activities, you can do a lot of the same things with your containers that you can with other application platforms or management systems.

What is the scope in Kubernetes development?

It has now become the major flow due to the progress of apps and Kubernetes acceptability. It's not just about changing how software is deployed and run; it's also about modernising the architecture. Kubernetes is quickly becoming the cloud's operating system, bringing with it universality and the potential for significant benefits for IT companies and developers. Throughout 2017, Kubernetes gained a lot of traction and acceptance, with all major cloud providers now offering native Kubernetes services and several container orchestration platforms rebuilding on Kubernetes as a foundation.
Overall, Kubernetes is one of those promising technologies that can help you advance your profession in the future. So, if you want to get into a dynamic position with a good salary, adding Kubernetes to your technology portfolio is your best chance.

What are the roles and responsibilities of a Kubernetes developer?

While developing and deploying containerized apps may eliminate the need for separate development environments, it is critical for in Kubernetes developer jobs to understand how containers operate at runtime. Especially when utilising a Kubernetes orchestrator, and particularly in production. Developers don't need to know everything about operations to be a valuable member of a DevOps team, but they do need to learn enough about Kubernetes and the production environment. The major responsibilities in a Kubernetes developer job are as follows –

  • Design and implement a Jenkins-based continuous build-test-deployment (CI/CD) system with different component pipelines to handle weekly and out-of-cycle releases as needed.
  • Docker-based deployments, dealing with Docker images, Docker Hub and Docker-registries, and Kubernetes experience.
  • Lead the shift from manual setup and deployment to Chef-based 'infrastructure as code,' including cookbook design and implementation.
  • With Chef Automation and a large deployment of RedHat Linux instances systems, you can build and manage a large deployment of RedHat Linux instances systems.
  • Chef Recipes may be used to automate local user provisioning for VMs deployed in Openstack and AWS cloud.
  • Involve in the creation of a test environment based on Docker containers, as well as the configuration of such containers using Kubernetes.
  • Microservice onboarding tools were developed using Python and Jenkins, making it simple to create and maintain build processes and Kubernetes deployments and services.
  • Microservices and component-based architectures are being refactored from monolithic programmes.
  • Manage Docker containers and Kubernetes clusters using the OpenShift platform.
  • Maintaining Docker Images and Containers while working on infrastructure with Docker containerization.

How to become a Kubernetes developer?

Kubernetes (K8s) is a crucial tool for DevOps engineers, and it is widely regarded as the most valuable container management technology. It is at the heart of the cloud-native revolution and can scale without adding to the operations personnel. Training and certifications improve resumes and can pique an employer's interest. The Kubernetes official website includes Linux Foundation and training partner training and certifications. Officials describe it as a career investment that will aid in the development of cloud native projects.

Kubernetes offers two certification programs: a Certified Kubernetes Application Developer (CKAD) course that teaches intermediate-level users how to design, build, configure, and expose cloud native applications for K8s. To design, monitor, and debug scalable applications and tools in K8s, CKAD can describe application resources and leverage core primitives. A Certified Kubernetes Administrator is the second certificate program (CKA). Kubernetes administrators, cloud administrators, and other IT professionals who handle K8s instances should pursue this certification. Basic installation, as well as setting and administering production-grade K8s clusters, are all possible for CKA holders. They're familiar with K8s networking, storage, security, maintenance, logging and monitoring, application lifecycle, troubleshooting, API object primitives, and the ability to create basic use-cases for end users. If you have the skills, all you need to do next is create a beautiful Kubernetes developer resume that showcases your skills and experience to employers.

Let’s take a look at the skills you need to master for your successful Kubernetes developer job.

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Skills required to become a Kubernetes developer

Companies are looking for individuals with competence in Kubernetes, and it's been one of the most valuable assets they're looking for. Hundreds of firms, like Capital One and Walmart, already have at least 50 clusters in production and send reps to conferences looking for Kubernetes-experienced potential. Employers are increasingly looking for professionals who have worked with Kubernetes. Here are the skills you'll need to get your career started.

1. Scripting and scripting language

Scripting is an important part of many engineers' toolkits. The reasons for this are self-evident: they enable you to automate chores and complete projects rapidly. If you are unfamiliar with scripting, you should learn it immediately. Even if you do, it's worth considering trying out some different programming languages. You could discover that taking a different technique – if you mostly use Python – makes you more productive or allows you to solve difficulties more quickly than before.

2. Infrastructure automation tools and platforms

Infrastructure automation systems like Ansible and Puppet have become increasingly vital to many businesses as hybrid and multi-cloud computing has become more prevalent. Puppet and Ansible remain two of the most significant platforms to study and understand, with Puppet wanting to continue to evolve and Ansible maintaining a solid market position. There are, however, a plethora of other options — Terraform, for example, appears to be developing at an alarming rate, even if it hasn't yet achieved critical mass, but Salt and Chef are also worth knowing.

3. Cloud architecture and design

Gone are the days when cloud computing was nothing more than a rented server. Its days of providing a simple (or at least reasonably easy) solution to storage and computing issues are long gone. Being able to piece together multiple different pieces is vitally crucial, especially when trends like multi and hybrid cloud are becoming the standard and serverless is gaining ground at the leading edge of software development.

4. Security and resilience

With the rise in architectural complexity, ensuring security and resilience has become critical, but also extremely difficult. Fortunately, there are a variety of tools and strategies for doing so, each of which is applicable to specific job positions — from service meshes to monitoring platforms to chaotic engineering, engineers may tackle stability and security concerns in a variety of ways.

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How to get remote Kubernetes developer jobs?

Developers are very similar to athletes. To excel at their craft, they need to practice effectively and consistently. They also have to work hard enough so that their skills gradually grow over time. In this sense, there are two main factors that developers must focus on for these advances to occur: the support of someone who has more experience in the practice and is more effective as you practice. As a developer, it is important that you know how much to practice. So, make sure someone is available to help and watch for signs of burnout!

Turing has the best remote Kubernetes developer jobs to match your Kubernetes developer career. Grow quickly by working on challenging technical and business problems using the latest technology. Join a network of the world's best developers and get long-term full-time remote Kubernetes developers job with better compensation and career development.

Why become a Kubernetes developer 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 Kubernetes developers?

In Turing, each Kubernetes developer can set its own rate. However, Turing recommends a salary where we know we can find a long-term fruitful opportunity for you. Our recommendations are based on our assessment of market conditions and the demand we see from our clients.

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.

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Principal GenAI Engineer

Title - Sr./Staff/Principal GenAI Engineer

Location - NYC, NY (Onsite)

Fulltime


About Turing

Based in Palo Alto, California, Turing is the world’s first AI-powered tech services company. It has reimagined tech services from the ground up with AI by offering AI-vetted and matched talent, AI-accelerated development, and access to AI transformation experts who have built many of the most iconic Silicon Valley companies.

Founded in 2018, the company has experienced tremendous growth with over two million global developers on its Talent Cloud and 900+ clients. Turing has received numerous awards, including Forbes’s 2022 “One of America’s Best Startup Employers,” being ranked #1 in The Information’s 2021 Annual List of most promising B2B Companies and Fast Company’s “Annual List of the World’s Most Innovative Companies.”

The company’s leadership team comprises both AI technologists from leading organizations including Meta, Google, Microsoft, Apple, Amazon, Twitter, Stanford, Caltech, MIT as well as tech consulting veterans from Accenture, Cognizant, Capgemini, McKinsey, Bain, and more.


About the role:

Turing is looking for people with LLM experience to join us in solving business problems for our Fortune 500 customers. You will be a key member of the Turing GenAI delivery organization and part of  a GenAI project. You will be required to work with a team of other Turing engineers across different skill sets. In the past, the Turing GenAI delivery organization has implemented industry leading multi-agent LLM systems, RAG systems, and Open Source LLM deployments for major enterprises.



Mandatory Knowledge:

  • Agentic AI/Langgraph
  • MCP
  • Graph DB


Required skills:

  • 8+ years for Sr GenAI Engineer and 10+ years for Staff/Principal GenAI Engineer, of professional experience in building Machine Learning models & systems
  • 3+ years of hands-on experience in how LLMs work & Generative AI (LLM) techniques particularly prompt engineering, RAG, and agents.
  • Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must.
  • Understanding of Cloud services from various cloud services from Azure, GCP, or AWS for building the GenAI applications
  • Excellent communication skills to effectively collaborate with business SMEs

Roles & Responsibilities

  • Develop and optimize LLM-based solutions: Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures.
  • Codebase ownership: Maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices.
  • Cloud integration: Aide in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes.
  • Cross-functional collaboration: Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products.
  • Mentoring and guidance: Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development.
  • Continuous innovation: Stay abreast of the latest advancements in LLM research and generative AI, proposing and experimenting with emerging techniques to drive ongoing improvements in model performance.


Vetting Process

  • Technical Discussion Zoom (Live Coding while sharing screen) - 1 hour
  • Delivery Connect - ½ Hour (Zoom)
  • In person interview at NYC, NY
Finance
251-10K employees
Artificial IntelligenceLLM
briefcase
Python Gen AI

Principal GenAI Engineer – Backend / Fullstack

Location: Mumbai (3 Days WFO)
Employment Type: Full Time
Experience Level: Principal (5-9 years)

About the Role

Turing is hiring a Principal GenAI Engineer to lead enterprise-scale AI implementations for Fortune 500 clients. This role focuses on designing and building scalable, production-grade GenAI systems powered by LLMs, Retrieval-Augmented Generation (RAG), and agent-based architectures.

You will work at the intersection of backend/fullstack engineering and applied AI, building reliable, high-performance systems that integrate LLM capabilities into real-world applications.

What We’re Looking For

  • 5-9 years of experience in software engineering (backend or fullstack)
  • 2+ years of hands-on experience with LLMs (RAG, agents, prompt engineering)
  • Strong experience building production-grade distributed systems
  • Proficiency in Python 
  • Strong experience with SQL & NoSQL databases
  • Hands-on experience with LangChain, LangGraph, or similar frameworks
  • Experience deploying systems on AWS / Azure / GCP
  • Strong understanding of APIs, microservices, and system design

Key Responsibilities

  • Design and build scalable GenAI applications using LLMs and RAG pipelines
  • Develop and optimize backend services and APIs for AI-powered systems
  • Build and deploy agent-based workflows and orchestration systems
  • Integrate LLMs into real-world enterprise applications
  • Ensure performance, scalability, and reliability of AI systems in production
  • Collaborate with product, data, and engineering teams to deliver end-to-end solutions
  • Implement monitoring, evaluation, and guardrails for GenAI systems

Good to Have

  • Experience with vector databases (Pinecone, Weaviate, FAISS, etc.)
  • Exposure to frontend frameworks (React, Next.js) for fullstack roles
  • Familiarity with CI/CD pipelines and DevOps practices
  • Understanding of model evaluation, fine-tuning, or LLMOps
  • Experience building multi-tenant or enterprise SaaS platforms

Why Join Turing

  • Work on cutting-edge GenAI use cases with global enterprises
  • Opportunity to build real-world AI systems at scale
  • High ownership and leadership in technical decision-making
Finance
251-10K employees
PythonNode.jsJava+ 6
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