Remote senior platform engineer jobs

We, at Turing, are looking for talented remote senior platform engineers who will be responsible for the design and maintenance of desktop activities, helping in template installation, preparing sustainable infrastructure, APIs, and software development scripts. Get an excellent opportunity to collaborate closely with the best minds while working at top U.S. firms.

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Job description

Job responsibilities

  • Enable clients to adapt to changing needs, improve their experience and deliver better software solutions
  • Collaborate with a multi-faceted team to build real solutions through experimentation
  • Explore new, advanced technologies and software products
  • Maintain all technical deliverables including technical design specifications and documentation of all configuration changes
  • Assist in the definition of end-user requirements, functionality specifications, and deliverables for a specific platform

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 5+ years of experience in software engineering (rare exceptions for highly skilled developers)
  • Profound knowledge of two or more modern languages including Java/Spring, Python, GoLang, NodeJS, Groovy, C#, Scala, etc.
  • Hands-on expertise in designing and building APIs like RESTful web services, HATEOAS, Microservices, etc.
  • Proven experience in enabling CI/CD technologies, principles, practices and deployment
  • Proficient with platform and systems’ architecture including modular monoliths, SoA, microservices
  • Strong grasp on English language for effective communication
  • Ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred skills

  • Knowledge of public cloud providers like AWS, Azure, Google Cloud, etc.
  • Experience with data engineering and analytics technologies like Spark, Hadoop, Kafka, and Cassandra
  • Understanding of modern ops practices
  • Hands-on experience in agile/scrum environment
  • Strong interpersonal, leadership and organizational skills

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Why join Turing?

Elite US Jobs

1Elite US Jobs

Turing’s developers earn better than market pay in most countries, working with top US companies.
Career Growth

2Career Growth

Grow rapidly by working on challenging technical and business problems on the latest technologies.
Developer success support

3Developer success support

While matched, enjoy 24/7 developer success support.

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    Solve questions and appear for technical interview.

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  4. Start working on your dream job

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

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How to become a Senior Platform Engineer?

What exactly is platform engineering? This is a tricky question. If you asked ten engineers the same question, you'd probably get ten different responses. Having said that, there would very certainly be a lot of comparable topics. The most prevalent subject would most likely be something like the concept of bridging the gap between software and hardware. In other words, platform engineers make it simpler for application developers to get software into the hands of users. This wide brush reveals itself in a variety of ways. Standardizing an organization's Kubernetes deployments, ensuring infrastructure is auditable, automating different deployment procedures, and producing documentation for application developers are some of these methods.

What is the scope for a Senior Platform Engineer?

A platform engineer is a fantastic job to pursue. The role is important to the success of all technology firms and is expected to grow in demand over time. Those wishing to become platform engineers should get well acquainted with the requirements of the position. Experts say that now is an excellent moment to go into platform engineering. According to the US Bureau of Labor Statistics, the number of available jobs in the platform engineering job family will expand by 22% between 2020 and 2030. This rise is significantly higher than the average predicted increase for employment in other industries.
Before you dive into senior platform engineer job prospects, it's critical to understand the job's requirements as well as the abilities required to execute duties efficiently in the profession. Learning more about platform engineering and how it relates to your career aspirations can aid you in your path into the IT industry.

What are the roles and responsibilities of a Senior Platform Engineer?

The purpose of a senior platform engineer job is to enable the connectivity of a company's hardware and software. Senior Platform engineer job is to be in charge of ensuring the integrity of the company's infrastructure while collaborating with other business units to carry out development initiatives. In a nutshell, they're in charge of creating a system that other development teams may utilize as a foundation for their work. By accepting a position as a platform engineer, you undertake to maintain and support the company's technological systems. The following are some of the jobs and responsibilities:

  • In a variety of scenarios, manage database configuration and other setup processes.
  • Supervise app packing operations to ensure that quality is maintained.
  • Update infrastructure backups and vulnerability scans to ensure system security.
  • Utilize a resource management platform and interact with the engineering team to identify areas for optimization.
  • Provide capacity planning and maintenance to improve the platform's quality.
  • Manage the automated deployment process.
    A senior platform engineer job responsibility should not be confused with those of a DevOps developer. They are similar in some ways, but not in others. Examining where platform engineering and DevOps divide can assist to explain the new team's rising appeal. For one thing, the notion of DevOps predates platform engineering and has grown in tandem with technical advancement. Initially, DevOps was very haphazard. For instance, if a team inside a company wished to host a new website, collaboration with a DevOps team was required. Compare this to the concept of platform engineering. Senior Platform engineers' job is to create technologies that teams can build on. To extend the example, if the same team had a platform that handled website hosting, there would be no need for cooperation between this team and the platform engineering team.

How to become a Senior Platform Engineer?

A bachelor's degree in a comparable discipline and some expertise with big technology systems are the essential requirements for a senior platform engineer job. Many organizations have a long list of specialized skills they want in various sorts of software engineers, and this profession is no exception. Obtaining training and certification in a variety of programming languages and online platforms can help you find a job. Most companies, however, are ready to be flexible on this issue if you have experience and a desire to learn. Creativity, interpersonal skills, research abilities, and the ability to program in a bigger team context are all required for a career in this sector.
Let's take a look at the abilities and techniques you'll need to master to get a successful Senior Platform Engineer job:

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Skills required to become a Senior Platform Engineer

The first step is to begin studying the core skills that will enable you to obtain high-paying Senior Platform Engineer jobs. Let's go through what you need to know!

1. Python

Python is an interpreted high-level general-purpose programming language. Its design philosophy encourages code readability by the use of significant indentation. Its language components and object-oriented approach are designed to help programmers write clear, logical code for both small and large-scale projects.

2. Scala

Scala programming is a general-purpose computer language. It broadly supports both object-oriented and functional programming methods. Scala is a powerful static programming language that was inspired by the Java programming language. One of the most striking parallels between Scala and Java is that you can code Scala in the same manner you code Java. Many Java libraries, as well as many of Scala's third-party libraries, may be used within the language.

3. AWS

Amazon Web Services (AWS) is an acronym for the company Amazon. It is a platform that offers cloud computing solutions that are adaptable, reliable, scalable, easy to use, and cost-effective. Amazon Web Services (AWS) is a comprehensive, easy-to-use computing platform offered by Amazon. The platform is created using a combination of infrastructure as a service (IaaS), platform as a service (PaaS), and packaged software as a service (PaaS) (SaaS).

4. Kubernetes

Kubernetes is an open-source container orchestration technology created by Google that automates the deployment, scaling, and administration of containerized applications. Indeed, Kubernetes has established itself as the de facto standard for container orchestration and is the flagship project of the Cloud Native Computing Foundation (CNCF), which is supported by major organizations such as Google, AWS, Microsoft, IBM, Intel, Cisco, and Red Hat.

5. Hadoop

Hadoop is an open-source platform developed by Apache that is used to store, process, and analyze massive amounts of data. Hadoop is developed in Java and is not an OLAP system (online analytical processing). It is employed in batch/offline processing. It is used by Facebook, Yahoo, Google, Twitter, LinkedIn, and many more companies. Furthermore, it may be scaled up simply by adding nodes to the cluster.

6. Big Data

Big data refers to vast, diversified collections of information that are growing at an exponential rate. It includes the amount of information, the velocity or speed with which it is generated and gathered, and the variety or scope of the data points covered (the "three v's" of big data). Big data is frequently derived by data mining and arrives in a variety of formats.

7. Docker

Docker, a Moby project component, is a software framework for creating, operating, and managing containers on servers and in the cloud. The name "docker" can refer to the tools (commands and a daemon) or the Docker file format. When you wanted to run a web application, you used to buy a server, install Linux, configure a LAMP stack, and launch the program. If your app became popular, you exercised appropriate load balancing by putting up a second server to guarantee the program didn't fail due to excessive traffic.

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How to get remote Senior Platform Engineer jobs?

Athletes and developers are quite similar. They must practice efficiently and regularly in order to excel in their art. They must also work hard enough to steadily improve their talents over time. In that sense, there are two important things that developers must focus on in order for that growth to occur: the assistance of someone more experienced and successful in practice procedures when you're practicing. As a developer, you must know how much to practice, therefore have someone on hand to assist you and keep an eye out for indications of burnout!
Turing provides the top remote Senior Platform engineer jobs that match your career goals as a Senior Platform developer. Grow quickly by working on difficult technical and commercial issues with cutting-edge technology. Join a network of the world's greatest engineers and earn full-time, long-term remote Senior Platform engineer jobs with greater pay and opportunities for advancement.

Why become a Senior Platform 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 Senior Platform Engineers?

Every Senior Platform Engineer at Turing has the ability to determine their own rate. However, Turing will propose a pay at which we are confident we can find you a successful and long-term opportunity. Our recommendations are based on our evaluation of market circumstances as well as consumer needs.

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
Python Automation and Task Creator

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 a detail-oriented Computer-Using Agent (CUA) to perform structured automation tasks within Ubuntu-based virtual desktop environments. In this role, you will interact with real desktop applications using Python-based GUI automation tools, execute workflows with high accuracy, and document every step taken.

This is a hands-on execution role ideal for candidates who are comfortable working with Linux systems, virtualization tools, and repeatable task workflows in a controlled environment.


What Does the Day-to-Day Look Like?

  • Set up and operate Ubuntu virtual machines using VMware or VirtualBox
  • Automate mouse and keyboard interactions using Python-based GUI automation (e.g., PyAutoGUI)
  • Execute predefined workflows across various Ubuntu desktop applications
  • Ensure tasks are completed accurately and can be reproduced consistently
  • Capture and document all actions, steps, and outcomes in a structured format
  • Collaborate with the delivery team to refine automation scenarios and workflows

Required Skills & Qualifications

  • Hands-on experience with Ubuntu/Linux desktop environments
  • Working knowledge of PyAutoGUI or similar GUI automation frameworks
  • Basic Python scripting and debugging skills
  • Familiarity with VMware or VirtualBox
  • Strong attention to detail and ability to follow step-by-step instructions
  • Clear documentation and reporting skills

Application Domains

You will be expected to perform automation tasks across the following Ubuntu-based environments:

  • os – Core Ubuntu desktop environment
  • chrome – Ubuntu with Google Chrome
  • gimp – Ubuntu with GIMP
  • libreoffice_calc – LibreOffice Calc
  • libreoffice_writer – LibreOffice Writer
  • libreoffice_impress – LibreOffice Impress
  • thunderbird – Thunderbird email client
  • vlc – VLC media player
  • vs_code – Visual Studio Code

Perks of Freelancing With Turing

  • Fully remote work.
  • Opportunity to work on cutting-edge AI projects with leading LLM companies.

Offer Details:

  • Commitments Required: 40 hours per week with 4 hours of overlap with PST. 
  • Engagement  type  : Contractor assignment (no medical/paid leave)
  • Duration of contract : 2 month
Holding Companies & Conglomerates
10K+ employees
Python
briefcase
Knowledge Graph Expert (Knowledge Graph / SQL / LLM)
About the Client

Our mission is to bring community and belonging to everyone in the world. We are a community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions. With more than 50 million people visiting 100,000+ communities daily, it is home to the most open and authentic conversations on the internet.

About the Team

The Ads Content Understanding team’s mission is to build the foundational engine for interpretable and frictionless understanding of all organic and paid content on our platform. Leverage state-of-the-art applied ML and a robust Knowledge Graph (KG) to extract high-quality, monetization-focused signals from raw content — powering better ads, marketplace performance, and actionable business insights at scale.

We are seeking a Knowledge Graph Expert to help us grow and curate our KG of entities and relationships, bringing it to the next level.


About the Role


We are looking for a detail-oriented and strategic Knowledge Graph Curator. In this role, you will sit at the intersection of AI automation and human judgment. You will not only manage incoming requests from partner teams but also proactively shape the growth of our Knowledge Graph (KG) to ensure high fidelity, relevance, and connectivity. You will serve as the expert human-in-the-loop, validating LLM-generated entities and ensuring our graph represents the "ground truth" for the business.

 

Key Responsibilities


  • Onboarding of new entities to the Knowledge Graph maintained by the Ads team
  •  Data entry, data labeling for automation of content understanding capabilities
  • LLM Prompt tuning for content understanding automation

What You'll Do


1. Pipeline Management & Prioritization

  • Manage Inbound Requests: Act as the primary point of contact for partner teams (Product, Engineering, Analytics) requesting new entities or schema changes.
  • Strategic Prioritization: Triage the backlog of requests by assessing business impact, urgency, and technical feasibility.

2. AI-Assisted Curation & Human-in-the-Loop

  • Oversee Automation: Interact with internal tooling to review entities generated by Large Language Models (LLMs). You will approve high-confidence data, edit near-misses, and reject hallucinations.
  • Quality Validation: Perform rigorous QA on batches of generated entities to ensure they adhere to the strict ontological standards and factual accuracy required by the KG.
  • Model Feedback Loops: Participate in ad-hoc labeling exercises (creation of Golden Sets) to measure current model quality and provide training data to fine-tune classifiers and extraction algorithms.

3. Data Integrity & Stakeholder Management

  • Manual Curation & Debugging: Investigate bug reports from downstream users or automated anomaly detection systems. You will manually fix data errors, merge duplicate entities, and resolve conflicting relationships.
  • Feedback & Reporting: Close the loop with partner teams. You will report on the status of their requests, explain why certain modeling decisions were made, and educate stakeholders on how to best query the new data.


Qualifications for this role:

  • Knowledge Graph Fundamentals: Understanding of graph concepts (Nodes, Edges, Properties)
  • Taxonomy & Ontology: Experience categorizing data, managing hierarchies, and understanding semantic relationships between entities.
  • Data Literacy: Proficiency in navigating complex datasets. Experience with SQL, SPARQL, or Cypher is a strong plus.
  • AI/LLM Familiarity: Understanding of how Generative AI works, common failure modes (hallucinations), and the importance of ground-truth data in training.

Operational & Soft Skills

  • Analytical Prioritization: Ability to look at a list of 50 tasks and determine the 5 that will drive the most business value.
  • Attention to Detail: An "eagle eye" for spotting inconsistencies, typos, and logical fallacies in data.
  • Stakeholder Communication: Ability to translate complex data modeling concepts into clear language for non-technical product managers and business stakeholders.
  • Tool Proficiency: Comfort learning proprietary internal tools, ticketing systems (e.g., Jira), and spreadsheet manipulation (Excel/Google Sheets).


Offer Details


  • Full-time contractor or full-time employment, depending on the country
  • Remote only, full-time dedication (40 hours/week)
  • 8 hours of overlap with Netherlands
  • Competitive compensation package.
  • Opportunities for professional growth and career development.
  • Dynamic and inclusive work environment focused on innovation and teamwork
Media & Internet
251-10K employees
LLMSQL
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