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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Turing.com lists out the do’s and don’ts behind a great resume
to help you find a top remote Kubernetes developer job.

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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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briefcase
Staff Software Engineer, AI


About the Client

Founded by engineers from  Stanford, Cisco Meraki, and Samsara, we are one of the fastest-growing Video AI companies in the U.S., transforming standard cameras into powerful AI tools that elevate safety, security, and operations for businesses nationwide. In just four years, we have processed more than 1  billion hours of video, and today ingest more daily new videos than  YouTube. Our industry-leading Video AI agents are changing physical operations and defining what video AI can accomplish for physical  operations. We are challenging and disrupting the $30 billion video surveillance market with a plug-and-play camera agnostic solution that is expanding use-cases beyond traditional security. Our approach has fueled fast adoption across 17 industries, powering nearly 1000  businesses and over 70,000 camera feeds. Our exceptionally talented team has created a high growth trajectory that has attracted almost $100 million in investment from top venture firms, including  Redpoint, Scale Venture Partners, Bessemer, StepStone and Qualcomm.



About the Role

We are looking for like-minded builders. We are an extremely passionate and ambitious team building a company designed to outlast our lifetime. No  matter the role or level, we’re looking for more teammates who share the same  high-performance mindset:

  • Relentless Drive: You have extreme ambition and something to prove. Challenges fuels you. Building isn’t just what you do; it’s who you are.
  • Builder’s Mentality: You  thrive on creating new solutions, not maintaining the status quo. If  you've founded a company, been employee number 1 - 20, or have run a  venture for over two years, we’re especially excited to meet you!
  • High Hustle, High Humility: You combine high IQ with high EQ, a low ego, and an unyielding work ethic that pushes you to be among the best at what you do.

Our cultural pillars guide how we operate. We:

  • Spend Strategically. We maximize resources and minimize waste.
  • Push for Progress. We make decisions, move fast, and celebrate action.
  • Obsess Over Customers: We remove friction and add value to create delight.
  • Trust Our Team: Respect, trust and collaboration are non-negotiable.
  • Act Like Owners: We say what we’ll do, and we do what we say, taking pride and responsibility in our work.
  • Never Stop Having Fun: We’re creating something epic, and we’re having fun doing it.


Who you are

  • You are self-motivated and accountable. You  excel with ownership and autonomy, producing high quality outcomes with  minimal direction and oversight. You have strong intuition on what's  most important to work on, and can focus on the most critical items.
  • You are a balanced visionary. You  contribute to strategy with an ability to see the big picture, while  also appreciating details with a drive to make meaningful, hands-on  contributions.
  • You are a humble expert. You  bring strong expertise and nuanced perspectives on the latest AI  technology, while staying open to new ideas and new ways of doing  things. You focus on getting it right in a team setting, rather than  being right.
  • You strive for the next level. You’re ready to stretch your impact and influence and are ready to take on larger scale challenges and/or act as a mentor.
  • You bring rich AI experience. You  have a strong background in AI, ideally with video processing  experience, however, experienced practitioners in AI can adapt as  necessary. You understand classic deep learning techniques, from YOLO to  transformer models to linear classifiers. Yet, you also have experience  with the latest AI foundation models, from embeddings to LLMs and  prompt engineering.
  • You are a creative thinker and problem solver. You  naturally think outside the box to solve new sets of customer problems,  even with few resources. You have a keen eye and technical frameworks  for setting an AI technical direction based on customer context.
  • You bring high-scale technical excellence. You  deeply understand software design, architecture, big-data processing  pipelines, and best practices on systems design + scalability, code  quality, and data/model design. You appreciate the finer details, such  as edge model optimizations, vector indexes and how they work, or how to  design a maintainable data schema. You’ve designed and led complex  systems, shaped multi-team architectures, and created frameworks that  prevent defects and improve validation across products.
  • You’re a debugging and operational excellence expert. You adopt observability tools, tackle unfamiliar codebases, and develop  resources like runbooks to prevent issues. You have an eye for  impending technical issues or optimization opportunities, and  architectural improvements that could be made to increase overall  engineering productivity.
  • You’re a technical leader. You  understand the skill and personal strengths of team members,  effectively mentoring them and placing engineers into the projects that  make them and the company successful
  • You bring 6+ years in software engineering, with significant expertise in AI plus a strong track record in high-quality system delivery.


Responsiilities

You’ll  play a critical role in advancing our capabilities, using your AI  expertise to drive innovative solutions for businesses with physical  environments—from manufacturing plants to car dealerships. Leading the  design and integration of AI-driven features, you’ll elevate both new  and existing products, focusing on scalable, real-world applications  that improve safety, operations, and efficiency. Working closely with  cross-functional teams, you’ll apply cutting-edge AI techniques to  transform video data into actionable insights that empower our clients.  By setting standards in AI reliability and performance, you’ll ensure  Spot AI’s product suite consistently delivers high-impact outcomes.



What excites you:

  • Working  on and thinking about the latest models across multiple domains, such  as Dinov2, CLIP, GPT4o/Gemini. Applying these models to real world  physical problems to enhance safety, operations, and efficiency.
  • Working  with a datastream of over 200k datapoints and embeddings a second,  wrangling this into actionable insights with fast and accurate queries.
  • Helping  to democratize and educate about the latest foundational models to  customers and team members, helping them share your vision of what AI  can do for the world.
  • Working with a global, several thousand  node distributed hybrid edge-cloud, processing millions of hours of  video a day.A place that gives you the room to learn from failure while  driving excellence.
  • Advancing our AI’s product capabilities  by applying cutting-edge AI techniques, helping transform video data  into powerful, real-world solutions for our clients.
  • Designing  and implementing AI-driven features across new and existing products,  with a focus on scalability and tangible value for diverse industries.
  • Diving  into complex challenges in video intelligence, using your expertise to  bring actionable insights to businesses in physical environments.
  • Collaborating  closely with cross-functional teams to build tools and frameworks that  set a new standard for AI performance and reliability in our industry.
  • Mentoring and guiding other engineers to foster collaboration and innovation that increase project impact.
  • A culture where hard work that drives great outcomes is expected, celebrated, and rewarded.
  • A place where you can make industry-wide impact and contribute to one of the most exciting technologies of our time

Offer Details

  • Full-time contractor (no benefits)
  • Remote only, full-time dedication (40 hours/week)
  • 6 hours of overlap with Pacific Timezone
  • Competitive compensation package.
  • Opportunities for professional growth and career development.
  • Dynamic and inclusive work environment focused on innovation and teamwork
Business Services
11-50 employees
PythonPyTorchTensorflow
briefcase
Senior Java Engineer – Snowflake Integration

Job Title: Senior Java Engineer – Snowflake Integration

Experience: 6–10 Years
Location: Gurugram
Work Mode: Hybrid (3 Days Work From Office)

Job Overview

We are looking for a Senior Java Engineer with strong experience in Java 17+, backend system development, and Snowflake integration, to build and maintain enterprise-grade data and transaction systems in the BFSI domain. The role involves working on high-scale, secure, and compliant platforms handling critical financial data.

Key Responsibilities

  • Design, develop, and maintain scalable backend services using Java 17+
  • Integrate Java applications with Snowflake Data Cloud for analytics and reporting use cases
  • Build and optimize data pipelines between transactional systems and Snowflake
  • Design and consume RESTful APIs for internal and external integrations
  • Ensure data security, governance, and compliance as per BFSI standards
  • Optimize application performance, scalability, and reliability
  • Collaborate with data engineering, DevOps, and product teams
  • Participate in architecture discussions and technical design reviews
  • Support production systems and perform root cause analysis when required

Mandatory Technical Skills

Core Java & Backend

  • Strong hands-on experience with Java 17 or higher
  • Deep understanding of OOP, multithreading, concurrency, and JVM internals
  • Experience with Spring / Spring Boot
  • Strong experience building RESTful microservices
  • Experience with Hibernate / JPA

Snowflake & Data Integration

  • Hands-on experience integrating applications with Snowflake
  • Strong understanding of:
    • Snowflake architecture and data storage concepts
    • Virtual warehouses, databases, schemas
  • Experience using Snowflake connectors (JDBC/ODBC) from Java
  • Knowledge of data ingestion and transformation patterns
  • Understanding of SQL optimization in Snowflake

Databases

  • Strong experience with RDBMS (PostgreSQL / Oracle / MySQL)
  • Advanced SQL skills and performance tuning
  • Experience handling large datasets and analytical queries

Cloud, DevOps & Tools

  • Experience with cloud platforms (AWS / Azure / GCP)
  • Familiarity with Docker and containerized deployments
  • Experience with CI/CD pipelines
  • Working knowledge of Linux environments
  • Experience with version control systems (Git)

BFSI Domain Experience (Mandatory)

  • Proven experience working in Banking, Financial Services, or Insurance
  • Understanding of:
    • Transaction processing systems
    • Data privacy and regulatory compliance
    • Security standards (encryption, access control, auditing)
  • Experience working on high-availability, mission-critical systems

Soft Skills

  • Strong problem-solving and analytical skills
  • Ability to work independently with minimal supervision
  • Excellent communication skills
  • Experience collaborating with cross-functional teams
  • Ownership mindset and attention to detail

Good to Have

  • Experience with event-driven architectures (Kafka / MQ)
  • Exposure to data warehousing or analytics platforms
  • Experience with Agile / Scrum environments
  • Knowledge of financial reporting or risk systems

Ideal Candidate Profile

  • 6–10 years of backend development experience
  • Strong Java 17+ expertise with enterprise application exposure
  • Hands-on Snowflake integration experience
  • Solid BFSI domain background
  • Willingness to work 3 days from Gurugram office
Finance
10K+ employees
Core JavaSpring BootOOP+ 2
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