Remote cloud infrastructure engineer jobs

We, at Turing, are looking for talented remote cloud infrastructure engineers who will be responsible for delivering advanced cloud solutions and cutting-edge products to help shape the future of global enterprises. Get a chance to work with the leading Silicon Valley companies while accelerating your career.

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Job description

Job responsibilities

  • Communicate with client and stakeholders for strategizing new and fully automated cloud solutions
  • Build, design, deploy, implement, monitor and optimize existing cloud products and services
  • Deliver end-to-end infrastructure management solutions
  • Enhance infrastructure operations with cloud coding and scripting
  • Automate infrastructure migration with zero downtime to cloud environments
  • Implement and refine cloud architectures and roadmaps
  • Troubleshoot and resolve technical operational issues to enhance the performance
  • Implement and document best practices and strategies
  • Enable DevOps by automating different processes and employing cloud-based microservices architecture
  • Build and operate CI/CD pipelines to automate the delivery process
  • Participate in workload automation initiatives

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science, IT (or equivalent experience)
  • At least 3+ years of hands-on experience with cloud infrastructure (rare exceptions for highly skilled developers)
  • Demonstrated experience in architecting, designing, developing, and implementing cloud solutions
  • Expertise in building and maintaining cloud-native applications
  • Solid background in Linux Shell Scripting and/or Python scripting
  • Knowledge of maintaining Infrastructure-as-Code (IaC) and using tools like CloudFormation or Terraform
  • Strong understanding of automation tools and techniques
  • Strong grasp of English language for effective communication
  • Ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred skills

  • Experience working with serverless architecture, cloud migration, and deployment
  • Working knowledge of AI/ML algorithms and frameworks
  • Knowledge of using DevOps tools in a cloud environment
  • Prior experience in large-scale systems design environments
  • Comfortable with Agile/Scrum methodologies
  • Excellent organizational, technical, and communication skills

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How to become a Cloud infrastructure engineer ?

A cloud infrastructure engineer is an IT professional responsible for all technical elements of cloud architecture, including design, planning, administration, maintenance, and support. As organizations around the world migrate away from local data centers and server rooms, cloud computing solutions have grown in popularity. The bulk of large firms is transitioning to cloud-based services for their business applications and data storage. Moreover, half of those companies' IT teams say that moving to cloud services is their top strategic goal.

Companies need highly trained engineers to manage their cloud usage, which includes app building, resource allocation and maintenance, and successful use of the industry's major cloud providers, like Amazon Web Services (AWS), Google Cloud, and Microsoft Azure.

What is the scope in Cloud infrastructure engineering?

In recent years, the future of cloud computing has evolved considerably. The globe is now intimately connected thanks to digital technology. This is one of the main reasons behind the shift in cloud computing's scope. The amount of employment, technology, and research capital necessary to estimate cloud computing's future reach have also increased. As a result, we've seen a number of cool cloud computing advances.

Because of the large number of firms moving business processes to the cloud, remote cloud infrastructure engineer jobs have been designated one of the most in-demand IT careers. 68 percent of company IT departments are now using public cloud infrastructure, according to NetEnrich research. As companies transition away from on-premise infrastructure models and toward a cloud-first strategy when updating or establishing new environments, the need for cloud-experienced engineers has increased significantly.

What are the roles and responsibilities of a Cloud infrastructure engineer?

The Cloud Infrastructure Engineer will be largely responsible for coordinating upgrades and deployment initiatives, as well as providing insight and ideas for delivering client solutions using technical abilities.

The primary responsibilities after landing remote Cloud infrastructure engineer jobs are as follows:

  • In order to strategize innovative and completely automated cloud solutions, communicate with clients and stakeholders.
  • Create new cloud goods and services, as well as redesign, launch, implement, monitor, and improve current ones.
  • Provide infrastructure management services from start to finish.
  • Cloud coding and scripting can help you improve infrastructure operations.
  • Automate infrastructure transfer to cloud environments with no downtime.
  • Cloud architectures and roadmaps should be implemented and refined.
  • To improve performance, troubleshoot, and address technical, operational concerns.
  • Put best practices and initiatives in place and document them.
  • Automate diverse processes and use cloud-based microservices architecture to enable DevOps.
  • To automate the delivery process, create and maintain CI/CD pipelines.
  • Participate in projects to automate workloads.

Let’s now see how you can become a remote Cloud infrastructure engineer.

How to become a Cloud infrastructure engineer?

Cloud infrastructure engineer jobs often need the following education, qualifications, and experience:

  • Education: A bachelor's degree in computer science, engineering, or a related profession with similar abilities is required for a cloud infrastructure engineer position. Several businesses favor candidates with a Master of Science degree.
  • Certifications: In addition to schooling and experience, some businesses desire extra qualifications to indicate technical ability in one or more fields. Certifications for significant providers like AWS and Microsoft, as well as certifications for skill sets like cloud security, are among the most popular.
  • Experience: Most companies are looking for Cloud infrastructure engineers with at least three to five years of experience with cloud services, including open-source technologies, software development, system engineering, scripting languages, and working with a variety of cloud providers. Experience building or designing cloud-based internet services is also required of Cloud infrastructure engineers.

Remote Cloud infrastructure engineer jobs demand knowledge of programming languages such as Java, Python, and Ruby. Many companies are searching for Cloud infrastructure engineers that are familiar with OpenStack, Linux, Amazon Web Services, Rackspace, Google Compute Engine, Microsoft Azure, and Docker. APIs, orchestration, automation, DevOps, and databases, particularly NoSQL databases, are all important competencies.

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Skills required to become a Cloud infrastructure engineer

The first step is to start learning the essential abilities that will help you acquire a high-paying Cloud infrastructure engineer position. Let's take a look at the skills you need to know.

1. Serverless architecture

Serverless is a cloud-based code execution approach in which cloud providers handle server and computing resource management rather than developers. There are no virtual machines or physical servers because suppliers put them in the cloud automatically. This is an important skill that companies look for when they hire remote cloud infrastructure engineers.

2. Cloud migration

Cloud migration is the process of migrating digital assets to cloud infrastructure, such as data, workloads, IT resources, or apps. Cloud migration is the process of migrating tools and data from on-premises data centers or legacy infrastructure to the cloud.

Though "cloud migration" usually refers to transferring data from on-premises to the cloud, it may also apply to transferring data from one cloud to another. All or selected assets may be moved during a migration. It also entails a slew of additional factors. That's why we've put up this tutorial to cover all you need to know about cloud migration.

3. Cloud deployment

The process of deploying an application using one or more cloud-based hosting models, such as software as a service (SaaS), platform as a service (PaaS), and/or infrastructure as a service (IaaS). This covers designing, planning, executing, and running cloud workloads.

4. DevOps

If you're a software developer or an operations engineer, you're well aware of the issues that these professionals confront on a regular basis when working in various environments. DevOps brings together development and operations into a single package, eliminating job dependencies and bridging the gap between the two. Because DevOps is a popular Cloud infrastructure engineering methodology, employers may find that having a practical grasp of DevOps operations is advantageous. AWS DevOps, in particular, is in great demand among cloud service providers.

5. Virtualization

Cloud infrastructure engineers should be able to deploy and manage application software on virtual machines. Virtualization is essential for businesses to have access to scalable, fault-tolerant resources. A basic understanding of virtualization or services like virtual machines, EC2, and Lambda would be a big step toward Serverless Computing. As a result, it's a top-tier Cloud infrastructure engineer qualification.

Interested in remote Cloud infrastructure engineer jobs?

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How to get a remote Cloud infrastructure engineer job?

While getting as much practical experience as possible, you must design an effective job-search strategy. Before you start looking for employment, think about what you're looking for and how you'll utilize that information to limit your search. It's all about getting your hands dirty and putting your abilities to work when it comes to demonstrating to employers that you're job-ready. As a result, it's critical to keep learning and improving. You'll have more to talk about in an interview if you work on a lot of open-source, volunteer, or freelancing projects.

Turing has the most incredible remote Cloud infrastructure engineer jobs in the industry, all of which are tailored to your career goals. Working with cutting-edge technology to tackle complicated technical and business challenges can assist you in rapidly expanding. Get a full-time, long-term remote Cloud infrastructure engineer job with greater income and professional progress by joining a network of the world's most excellent engineers.

Why become a Cloud infrastructure engineer at Turing?

Elite US jobs
Career growth
Exclusive developer community
Once you join Turing, you’ll never have to apply for another job.
Work from the comfort of your home
Great compensation

How much does Turing pay their Cloud infrastructure engineers?

Turing's Cloud infrastructure 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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