Remote Cloud engineer jobs at U.S. companies

At Turing, we are looking for experienced cloud engineers to work for top Silicon Valley firms. If you have the expertise to deliver the most optimal cloud-based solutions to maintain cloud infrastructures, accelerate your career with Turing now.

Find remote software jobs with hundreds of Turing clients

Job description

Job responsibilities

  • Collaborate with engineering and development teams to assess optimal cloud solutions
  • Develop and manage cloud solutions following the best practices
  • Design, develop and deploy modular cloud-based systems
  • Review, modify and improve existing systems
  • Take initiatives in learning and implementing new cloud technologies
  • Ensure efficient data storage, processing, and security policies
  • Identify, analyze, and fix weak points in cloud infrastructure and deployment issues
  • Communicate with clients to offer optimal cloud support based on their requirements

Minimum requirements

  • Bachelor’s/Master’s degree in computer science, engineering, IT, Mathematics, or relevant field
  • 3+ years of experience as a Cloud Engineer (rare exceptions for highly skilled developers)
  • Experience in following relevant areas, including ETL process, database architecture, business intelligence, big data, machine learning, advanced analytics
  • Knowledge of multiple cloud computing platforms, including OpenStack, Docker, Microsoft Azure, etc.
  • Strong understanding of networking and internet protocols and shared networks
  • Experience working on different databases, including SQL and NoSQL
  • Hands-on knowledge of open-source technology, software development, and system engineering

Preferred skills

  • Azure, AWS, and GCP certifications will be considered
  • Understanding of web services, APIs: REST and/or RPC
  • Proven troubleshooting and analytical skills
  • Experience with CI/CD systems
  • Ability to work collaboratively with multi-disciplinary teams
  • Excellent client management and project management skills

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How to become a cloud engineer?

A cloud engineer is an IT expert who is in charge of all technical aspects of cloud computing, such as design, planning, management, maintenance, and support. Cloud computing solutions have become increasingly popular as businesses around the world move away from onsite data centers and server rooms. The majority of large businesses are migrating their business applications and data storage to cloud-based services. The shift to cloud services is the top strategic objective for more than half of those firms' IT teams.
Companies require highly qualified engineers to manage their cloud usage, which includes application creation, resource allocation and maintenance, and successful use of the industry's leading cloud services—Amazon Web Services (AWS), Google Cloud, and Microsoft Azure.

What is the scope in cloud engineering?

The future of cloud computing has shifted dramatically in recent years. With the help of digital technologies, the world is now tightly connected. One of the key causes for the shift in cloud computing's scope is this. The number of jobs, technology, and research investments required to determine the future reach of cloud computing has risen as well. As a result, we've noticed a lot of interesting cloud computing developments.
Cloud engineer jobs have been named one of the most in-demand IT occupations, owing to the high number of companies transferring business functions to the cloud. According to NetEnrich research, 68 percent of enterprise IT departments are currently embracing public cloud infrastructure. The demand for cloud-experienced technologists has risen considerably as firms migrate away from on-premise infrastructure models and toward a cloud-first approach when upgrading or developing new environments.

What are the roles and responsibilities of a cloud engineer?

A cloud engineer is an IT expert who is in charge of a variety of technical tasks related to cloud computing. Solutions architects, cloud developers, and system operations engineers are the three main sorts of cloud engineers. Cloud engineer tasks and responsibilities may vary depending on the categories listed above. Let me explain each of these jobs in more detail:

  1. Solutions architect: These are the people who will be involved in the infrastructure and application development. As a result, extensive technical skills and experience in creating distributed applications and systems on the cloud platform are required. Simply said, they're in charge of drawing out blueprints for application designs. Some of their roles are as follows:
  • Designing and deploying cloud-based applications that are dynamically scalable, available, fault-tolerant, and dependable
  • Choosing the right cloud services to create and deploy an app depending on the requirements
  • Using cloud platforms to migrate complex, multi-tier apps
  • On cloud platforms, designing and deploying enterprise-wide scalable operations
  • Putting cost-cutting measures in place
  1. Cloud developer: These individuals are in charge of coding and application development, as the term suggests. They are expected to be knowledgeable about cloud architecture best practices. Cloud developers work on cloud-based application development, deployment, and debugging. They should be able to:
  • Skills for designing, deploying, and debugging cloud applications expertise in at least one high-level programming language
  • Writing applications requires knowledge of APIs, command-line interfaces, and SDKs.
  • Knowledge of cloud service providers' key features
  • Management of the application lifetime is something you should be aware of.
  • Ability to deploy programs using continuous integration and distribution pipelines
  • The ability to code is required to deploy critical security measures.
  • Writing, correcting, and debugging code modules are all skills you'll need.
  • Skills in coding for serverless applications
  • The utilization of containers in development processes is something that you should be aware of.
  1. System operations engineer: These are system administrators who assume control of the application after it has been planned and developed. They are in charge of managing and monitoring the majority of the activities that occur during the development process. They should be able to perform the following tasks:
  • Worked as a systems administrator in a systems operations capacity with relevant experience
  • Experience monitoring and auditing systems Ability to work with virtualization technology
  • Networking concepts (e.g., DNS, TCP/IP, and firewalls) are required.
  • Ability to interpret architectural specifications
  • Knowledge of how to implement and control the flow of data to and from a service provider Ability to deploy, manage and run scalable, highly available, and fault-tolerant systems
  • Ability to choose appropriate services based on computing, data, or security needs.
  • Ability to calculate utilization costs and determine operational cost control measures
  • The capacity to offload on-premises workloads to service providers.

How to become a cloud engineer?

The following education, certifications, and experience are typically required for cloud engineer jobs:

Education: For a cloud engineer job, you should have a bachelor's degree in computer science, engineering, or a comparable field with similar skills. A Master of Science degree is preferred by several employers.

Certifications: To demonstrate technical proficiency in one or more areas, some organizations prefer additional certificates in addition to schooling and experience. Among the most popular certifications are certifications for key providers like AWS and Microsoft, as well as certifications for skill sets like cloud security.

Experience: Most businesses want cloud engineers that have at least three to five years of expertise with cloud services, including open-source technology, software development, system engineering, scripting languages, and working with numerous cloud providers. Cloud engineers must also have experience developing or designing cloud-based online services.

Experience with programming languages such as Java, Python, and Ruby is required for cloud engineer jobs. Many businesses are looking for cloud engineers with knowledge of OpenStack, Linux, AWS, Rack space, Google Compute Engine, Microsoft Azure, and Docker. APIs, orchestration, automation, DevOps, and databases, especially NoSQL, are all valuable skills.

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Skills required to become a cloud engineer

The first step is to begin studying the core skills that will help you land a high-paying Cloud Engineer job. Let's see what you need to know.

1. Linux

Cloud engineers should be well-versed in the Linux operating system, which is widely used in cloud development. Cloud engineers should be familiar with Linux server architecture, maintenance, and administration. Open source, easy customization, security, and other advantages make Linux a programmers' delight. Because cloud providers are aware of this, we see Linux being used on a variety of cloud platforms.

2. Programming

Cloud engineers should be proficient in a variety of programming languages, including SQL, Java, Python, Ruby, Golang, PHP, and.NET. When it comes to cloud engineering abilities, you can't overlook the role of developers in the computer world. Developers can swiftly create, deploy, and manage apps. This property is used in cloud computing for scalability and strength. As a result, understanding the right programming languages or frameworks might be beneficial.

3. Networking

Virtual networks and generic network management operations are important for cloud engineers to grasp. Because centralized computing resources are shared for clients over the Cloud, networking is linked to cloud computing. It's sparked a trend of moving more network management operations to the cloud, reducing the need for customer devices to operate the network.

4. DevOps

If you're a software developer or an operations engineer, you're well aware of the problems that these professionals face daily as they operate in a variety of settings. DevOps combines the development and operations approaches into a single package, reducing work dependencies and bridging the gap between the two groups. Because DevOps is a popular cloud engineering framework, having a practical understanding of DevOps processes might be beneficial to employers. AWS DevOps, in particular, is highly sought-after expertise among cloud providers.

5. Containerization

Containers provide a logical packaging technique for applications, allowing them to be separated from the environment in which they function. Regardless of whether the target environment is a private data center, public cloud, or even a developer's laptop, this decoupling allows container-based apps to be deployed easily and consistently. Understanding how popular containers such as Kubernetes and Docker function can help your resume stand out not only in the Cloud sector but also in the software domain in general.

6. Virtualization

Engineers working in the cloud should be able to deploy and operate application software on virtual machines. Virtualization is critical in enabling organizations to access scalable, fault-tolerant resources. Working knowledge of virtualization or services such as virtual machines, EC2, and Lambda would be a significant step toward Serverless Computing. As a result, it's a top-tier cloud engineer expertise.

7. Understanding of cloud providers

Understanding what each offer can boost a cloud engineer's knowledge and make them more valuable to companies, as technical cloud features and engineering procedures vary amongst service providers.

8. Security and recovery

Cloud security is concerned with safeguarding the data, applications, and infrastructures associated with cloud computing. It's not dissimilar to the security of on-premise architectures. However, because everything is migrating to the Cloud, it is critical to gain a handle on it.

9. Web services and APIs

Open standards such as XML (Extensible Markup Language), SOAP (Simple Object Access Protocol), WSDL (Web Services Description Language), and UDDI (Universal Description, Discovery, and Integration) should be familiar to cloud engineers, as well as an understanding of how APIs are built.

Interested in remote Cloud Engineer jobs?

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How to get a remote cloud engineer job?

You must devise an effective job-search strategy while gaining as much practical experience as possible. Consider what you're looking for and how you'll use that information to narrow down your search before you start looking for jobs. When it comes to showing employers that you are job-ready, it's all about getting your hands dirty and putting your skills to use. As a result, continuing to learn and improve is vital. The more open source, volunteer, or freelancing projects you work on, the more you'll have to talk about in an interview.
Turing provides the best remote cloud engineer jobs available, all of which are customized to your professional objectives as a Scala developer. Working with cutting-edge technologies to solve complex technical and business problems will help you expand quickly. Join a network of the world's best developers to get a full-time, long-term remote cloud engineer job with higher pay and professional advancement.

Why become a cloud 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 cloud engineers?

Turing's Cloud engineers are free to set their own rates. Turing, on the other hand, will suggest a salary at which we believe we can provide you with a fulfilling and long-term opportunity. Our recommendations are based on our research of market conditions and our perceptions of customer desire.

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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