Remote Cloud system engineer jobs

We, at Turing, are looking for talented remote Cloud system engineers who will be responsible for managing clients’ cloud-based systems and processes including setting up architectures using cloud providers like AWS, Microsoft Azure, Google Cloud, or others. 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

  • Work closely with the engineering team to identify and implement the most optimal cloud-based solutions
  • Plan, design and develop cloud-based applications
  • Participate in managing cloud environments in accordance with company security guidelines
  • Deploy and debug cloud initiatives and stick to the best practices throughout the development lifecycle
  • Find and evaluate the potential threats and come up with prospective solutions to address the possible issues
  • Build and design web services in the cloud, and implement the set-up of geographically redundant services
  • Orchestrate and automate cloud-based platforms throughout the company

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science, IT (or equivalent experience)
  • At least 3+ years of experience in Cloud Engineer role or related position (rare exceptions for highly skilled developers)
  • Certification in AWS solutions architect and Cloud security
  • Experience in software development using languages like Java, Python, C++ or Ruby
  • Knowledge of web services, API, REST and RPC
  • Experience working with OpenStack, Linux/UNIX, Rackspace, Docker and Microsoft Azure
  • Strong understanding of networking and internet protocols, including TCP/IP, DNS, SMTP, HTTP and distributed networks
  • Expertise in databases including knowledge of SQL and NoSQL, and related data stores such as PostgreSQL
  • Knowledge of DevOps and CI/CD
  • Prior development experience on C#, .Net framework, PowerShell scripting
  • Fluency in 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 Power Platform, Dynamics 365, Office 365 technologies
  • Understanding of Enterprise level architecture and information security
  • OpenStack Administrator Certification a plus
  • Good debugging and problem-solving skills
  • Excellent communication, analytical and technical skills

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How to become a remote Cloud system engineer?

A Cloud System engineer is an IT specialist in charge of all technical elements of cloud computing, including design, planning, management, maintenance, and support. Cloud computing solutions are becoming more popular as businesses around the world transition away from onsite data centers and server rooms. The vast majority of multinational corporations are shifting their business applications and data storage to cloud-based services. The transition to cloud services is the top strategic goal for more than half of those companies' IT teams.

Companies must have highly qualified engineers to manage their cloud usage, which involves application building, resource allocation and maintenance, and successful use of the industry's leading cloud providers, like Amazon Web Services (AWS), Google Cloud, and Microsoft Azure.

What is the scope in Cloud System engineering?

In recent years, the future of cloud computing has evolved considerably. The globe is now inextricably linked thanks to digital technologies. This is one of the primary reasons for the shift in the scope of cloud computing. The number of employment, technology, and research capital required to estimate cloud computing's future reach has also increased. As a result, we've seen several intriguing cloud computing advancements.

Because of the large number of businesses moving business processes to the cloud, cloud system engineer positions have been named one of the most in-demand IT careers. According to a NetEnrich study, 68% of company IT departments are now embracing public cloud infrastructure. Cloud-experienced engineers are in high demand as businesses shift away from on-premise infrastructure architectures and toward a cloud-first approach when updating or establishing new environments.

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

A Cloud System engineer is an IT professional in charge of a variety of technical Cloud Computing duties. Cloud System engineers are classified into three types: Solutions Architects, Cloud Developers, and System Operations Engineers. The activities and responsibilities of a cloud system engineer may differ depending on the categories stated above. Let me go over each of these jobs in greater detail:

  • **Architect of Solutions: **These are the individuals who will be involved in infrastructure and application development. As a result, substantial technical knowledge and experience developing distributed applications and systems on the Cloud platform are required. To put it simply, they are in charge of creating blueprints for application designs. Some of their responsibilities include the following:
  • Creating and deploying cloud-based applications that are dynamically scalable, available, fault-tolerant, and reliable.
  • Choosing the best Cloud services for creating and deploying an app based on the needs
  • Cloud Platforms are being used to move complicated, multi-tiered applications.
  • Designing and delivering enterprise-wide scalable operations on Cloud Platforms
  • Implementing cost-cutting measures

-Cloud Developers: As the name implies, these folks are in charge of coding and application development. They are anticipated to be well-versed in cloud architecture best practices. Cloud developers work on the creation, deployment, and debugging of cloud-based applications. They should be capable of: designing, deploying, and troubleshooting cloud applications They must have at least one high-level programming language expertise

  • Writing applications necessitates familiarity with APIs, command-line interfaces, and SDKs.
  • Understanding of the Key Features of Cloud Service Providers
  • You should be aware of how to manage the application's lifetime.
  • Capability to use continuous integration and distribution pipelines to deliver programmes
  • To deploy crucial security measures, the ability to code is required.
  • You'll need to be able to write, correct, and debug code modules.
  • Coding abilities for serverless applications
  • Containers should be used in development processes, which you should be aware of.

**System Operations Engineers: ** They are system administrators who take over control of a programme once it has been planned and constructed. They are in charge of overseeing and managing the majority of the activities that take place during the development process. They should be competent to carry out the following duties:

  • With relevant experience, worked as a systems administrator in a systems operations capacity.
  • Monitoring and auditing systems experience Working knowledge of virtualization technology
  • Networking fundamentals are necessary (for example, DNS, TCP/IP, and firewalls).
  • Understanding of architectural specifications
  • Understanding of how to implement and control data flow to and from a service provider
  • Capability to deploy, manage, and run scalable, high-availability, fault-tolerant systems
  • The ability to select appropriate services based on compute, data, or security requirements.
  • Capability to analyze utilization costs and identify operational cost-cutting strategies
  • Offloading on-premises duties to service providers.

How to become a Cloud System engineer?

Cloud System engineer jobs often require the following education, qualifications, and experience:

Education: A bachelor's degree in computer science, engineering, or a related discipline with comparable abilities is required for a career as a Cloud System engineer. Several employers favor 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 such as AWS and Microsoft, as well as certifications for skill areas such as cloud security, are among the most popular.

Experience: Most firms choose Cloud System engineers with three to five years of experience with cloud services, including open-source technology, software development, system engineering, scripting languages, and dealing with several cloud providers. Cloud System engineers should also have prior expertise in building or designing cloud-based web services.

Cloud System engineer jobs demand experience with programming languages such as Java, Python, and Ruby. Many companies are searching for Cloud System experts who are familiar with OpenStack, Linux, AWS, Rack space, Google Compute Engine, Microsoft Azure, and Docker. APIs, orchestration, automation, DevOps, and databases, particularly NoSQL, are all important skills to have.

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Skills required to become a Cloud System engineer

The first step is to begin studying the fundamental skills that will assist you in obtaining a high-paying Cloud System engineer job. Let's go over what you'll need to know.

1. Linux

Cloud System engineers should be familiar with the Linux operating system, which is commonly used in cloud development. Engineers for cloud systems should be familiar with Linux server architecture, maintenance, and administration. Linux is a programmer's dream due to its open source nature, ease of customisation, security, and other benefits. We see Linux being used on a number of cloud platforms because cloud providers are aware of this.

2. Programming

Cloud System engineers should be fluent in several programming languages, including SQL, Java, Python, Ruby, Golang, PHP, and.NET. When it comes to Cloud System engineering skills, the function of developers in the computer industry cannot be overlooked. Apps may be created, deployed, and managed quickly by developers. In cloud computing, this attribute is employed for scalability and strength. As a result, understanding the appropriate programming languages or frameworks may be advantageous.

3. Networking

Cloud System engineers must understand virtual networks and general network management operations. Networking is linked to cloud computing because centralized computing resources are shared for clients via the Cloud. It has started a trend of transferring more network management functions to the cloud, lowering the necessity for customer devices to be connected to the network.

4. DevOps

If you're a software developer or an operations engineer, you're well aware of the challenges that these professionals encounter on a regular basis as they work in a range of environments. DevOps integrates development and operations methodologies into a single package, eliminating work dependencies and bridging the gap between the two groups. Because DevOps is a prominent Cloud System engineering paradigm, employers may benefit from having a practical understanding of DevOps procedures. AWS DevOps, in particular, is in great demand among cloud providers.

5. Containerization

Containers are a logical packaging strategy for applications that allows them to be isolated from the environment in which they operate. This decoupling enables container-based software to be deployed easily and consistently, regardless of whether the target environment is a private data center, public cloud, or even a developer's laptop. Understanding how popular containers such as Kubernetes and Docker work will make your CV stand out not only in the Cloud industry, but also in the software domain as a whole.

6. Virtualization

Cloud engineers should be able to deploy and run application software on virtual machines. Virtualization is essential for enterprises to have access to scalable, fault-tolerant resources.A solid understanding of virtualization or services such as virtual machines, EC2, and Lambda would be a huge step toward Serverless Computing. As a result, it is a high-level Cloud System engineer expertise.

7. Understanding cloud service providers

Understanding what each offers can increase a Cloud System engineer's knowledge and make them more useful to businesses, as technical cloud capabilities and engineering procedures differ amongst service providers.

8. Recovery and security

Cloud security is concerned with the protection of cloud computing's data, applications, and infrastructures. It is comparable to the security of on-premise architectures. However, because everything is moving to the Cloud, it is vital to get a grip on it.

9. Web services and APIs

Cloud System engineers should be knowledgeable with 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), as well as how APIs are constructed.

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How to get a remote Cloud System 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 offers the greatest remote Cloud System engineer jobs, all of which are tailored to your professional goals as a Scala developer. Working with cutting-edge technologies to address complicated technical and business problems will aid in your rapid expansion. Join a network of the world's greatest developers to land a full-time, long-term remote Cloud System engineer position with higher salary and opportunities for advancement.

Why become a Cloud System 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 System engineers?

Turing's Cloud System engineers are free to charge whatever they choose. Turing, on the other hand, will propose a pay at which we believe we can offer you a rewarding and long-term opportunity. Our recommendations are based on market research and our perceptions of customer want.

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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