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Engineers who wear multiple hats, move fast, and don't need hand-holding.
Engineers overlap with EST/PST: 4–6 hours daily and flexible to preferred time zones.
We handle all legal and payroll complexity of hiring from India, so you don't have to.
Straightforward agreement with top-most flexibility and freedom.
Cancel without any obligations in cases of dissatisfaction, financial instability, or business slowdown.
92% of placed engineers still with clients after 12 months
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Uplers earned our trust by listening to our problems and finding the perfect talent for our organization.
Uplers helped to source and bring out the top talent in India, any kind of high-level role requirement in terms of skills is always sourced based on the job description we share. The profiles of highly vetted experts were received within a couple of days. It has been credible in terms of scaling our team out of India.
Uplers efficient, quick process and targeted approach helped us find the right talents quickly. The professionals they provided were not only skilled but also a great fit for our team.
Uplers' talents consistently deliver high-quality work along with unmatched reliability, work ethic, and dedication to the job.
Cloud computing is revolutionizing the way businesses operate with its unparalleled scalability, flexibility, and cost-efficiency. Traditional on-premise solutions can’t match this because of the emerging digital technologies such as big data analytics, AI, ML, and many more.
Cloud computing has become more than just a trend and serves as a fundamental part of running a successful business today, especially for SaaS and tech companies. The ability to scale, maintain cost efficiency, and ensure security is the forte of skilled cloud engineers. Hiring the right professionals help manage your cloud infrastructure to deliver a significant difference in the performance and growth of your business.
Uplers ensures a seamless hiring experience by combining AI and human intelligence to vet top-quality Cloud Engineers. You receive carefully shortlisted profiles within 48 hours and can onboard the right talent in as little as 2 weeks, helping you hire faster without compromising on quality.
You can receive the top 1% shortlisted profiles within 48 hours through Uplers. Once you finalize the most suitable Cloud Engineer, Uplers handles the entire hiring and onboarding process. Depending on your requirements and decision-making timeline, onboarding typically takes 2-4 weeks.
The modes of communication through which you can get in touch with a hired Cloud Engineer include:
If the developer doesn’t meet your expectations, we offer a 90-day replacement guarantee for full-time hires and a lifetime replacement for contract roles, at no additional cost. Additionally, you can opt for a 30-day cancellation policy with no extra charges, giving you complete flexibility to make changes as needed.
The average cost of hiring a Cloud Engineer from Uplers starts at $2500. The number varies depending on the experience level of the developer as well as your requirements.
Yes. Cloud engineers in the Uplers network are evaluated for English proficiency and overall suitability for work environments. Beyond language skills, cultural alignment is also assessed to help ensure smooth integration with your team, enabling productive interactions and long-term success.
The network includes cloud professionals across AWS, Azure, GCP, and multi-cloud environments, with expertise spanning cloud architecture, cloud operations, DevOps, Site Reliability Engineering (SRE), infrastructure automation, cloud security, Kubernetes, serverless computing, CI/CD pipelines, disaster recovery, and cloud migration projects. Organizations can hire Cloud Engineers, Cloud Architects, DevOps Engineers, SREs, Platform Engineers, and Cloud Security Specialists based on their infrastructure, operational, and scalability requirements.
Cloud engineers in the network have experience across AWS, Microsoft Azure, Google Cloud Platform (GCP), and multi-cloud environments. Their expertise includes cloud infrastructure, Kubernetes, Docker, Terraform, Pulumi, Ansible, CI/CD pipelines, serverless services, cloud networking, observability, monitoring, and infrastructure automation. Certified professionals are available with credentials such as AWS Solutions Architect, AWS DevOps Engineer, AWS Security Specialty, Azure Administrator (AZ-104), Azure Solutions Architect (AZ-305), and Google Cloud Professional Cloud Architect, allowing organizations to match engineers against specific platform and certification requirements.
Yes. Uplers can help build complete cloud and DevOps teams tailored to your infrastructure and operational needs. This may include Cloud Architects, Cloud Engineers, DevOps Engineers, Site Reliability Engineers (SREs), Platform Engineers, Cloud Security Specialists, and Infrastructure Operations professionals. All roles are sourced through the same hiring pipeline and can work under a unified engagement model, making it easier to scale cloud operations, platform engineering, and infrastructure management as your organization grows.
Uplers focuses on identifying cloud engineers with a strong combination of technical expertise and effective communication skills. Candidates are selected based on their experience with cloud architecture, infrastructure operations, automation, scalability, security, troubleshooting, and cost optimization across modern cloud environments. Communication abilities, collaboration skills, and the ability to explain technical concepts clearly are also considered to help ensure successful engagement with cross-functional teams and stakeholders.
Yes. Cloud engineers can support a wide range of cloud migration initiatives, from lift-and-shift migrations and platform modernization to full cloud-native re-architecture projects. Their expertise includes cloud readiness assessments, migration planning, infrastructure provisioning, application containerization, managed service adoption, data migration, landing zone design, performance optimization, security configuration, and post-migration operational support across AWS, Azure, GCP, and hybrid cloud environments.
Yes. Cloud engineers can help identify and implement cost optimization opportunities across AWS, Azure, and GCP environments. Their expertise includes infrastructure right-sizing, auto-scaling strategies, reserved capacity planning, spot and preemptible instance usage, storage lifecycle management, resource utilization analysis, cloud governance, cost allocation frameworks, and FinOps best practices. They can also provide ongoing monitoring and optimization recommendations to improve efficiency while maintaining performance, reliability, and scalability.
Yes. Many cloud engineers have hands-on experience with Kubernetes across AWS EKS, Azure AKS, Google GKE, and other enterprise container platforms. Their expertise includes cluster provisioning and management, workload deployment, Helm, GitOps workflows, container orchestration, service mesh implementation, security and access controls, observability, scaling strategies, disaster recovery, and day-to-day production operations for containerized applications running at scale.
Yes. Cloud engineers can design and implement secure cloud environments, including identity and access management (IAM), role-based access controls, network security, secrets management, encryption, security monitoring, and compliance automation. Their expertise spans AWS, Azure, and GCP security services, cloud governance frameworks, vulnerability management, security best practices, and compliance requirements such as SOC 2, GDPR, PCI-DSS, HIPAA, and other industry-specific standards.
Yes. Cloud engineers can design, develop, and manage serverless applications using AWS Lambda, Azure Functions, Google Cloud Functions, and event-driven cloud services. Their expertise includes building scalable APIs, event-processing systems, workflow automation, microservices, messaging architectures, and serverless integrations using services such as API Gateway, EventBridge, Event Grid, Pub/Sub, SNS, SQS, and Step Functions. They can also optimize performance, scalability, security, and cost efficiency for modern serverless workloads.
