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Full Time Cloud Backend Engineer Jobs (NOW HIRING)

Principal Cloud Backend Engineer

$128.50K - $177.10K/yr

They are seeking a Principal Cloud Backend Engineer to architect and build the core platform for their AI inference services, focusing on monetization strategies and system reliability.

As a Staff Cloud Backend Developer, you will lead the architectural decisions and technical excellence for the backend systems that support their connected EV platform, ensuring reliability and ...

Full-time position | San Mateo, CA (Onsite) Note: In accordance with export control regulations ... Expertise in cloud infrastructure and SRE practices. * Demonstrated delivering enterprise grade ...

C. Mack Solutions is seeking a motivated backend engineer with strong experience in backend development, data engineering, and cloud services. You'll help build scalable GenAI-enabled web ...

Our Backend Engineers package up our technology in models and last-mile quality tooling. Our ... Integration with on-prem & cloud compute vendors * Integration with software tools required in ...

Pump.co is on a mission to transform cloud cost optimization through AI, seeking a Backend Engineer to contribute to their product and infrastructure. The role involves designing and maintaining ...

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Full Time Cloud Backend Engineer information

See salary details

$60.5K

$147.7K

$199K

How much do full time cloud backend engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for full time cloud backend engineer in the United States is $147,662.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,000.00 and $172,000.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Cloud Backend Engineer vs Cloud Software Developer?

AspectFull Time Cloud Backend EngineerCloud Software Developer
CredentialsBachelor's in CS or related, cloud certifications (AWS, Azure)Bachelor's in CS or related, cloud certifications (AWS, Azure)
Work EnvironmentFull-time, on-site or remote, collaborative teamsFull-time, on-site or remote, project-based
Industry UsageTech companies, cloud service providers, enterprisesTech companies, startups, cloud service providers
Search IntentJob roles, responsibilities, career pathDevelopment tasks, coding, cloud solutions

Both roles require similar credentials and work in cloud environments, but a Full Time Cloud Backend Engineer focuses on designing and maintaining backend systems, while a Cloud Software Developer emphasizes coding and developing cloud applications. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

More about Full Time Cloud Backend Engineer jobs
What are the most commonly searched types of Cloud Backend Engineer jobs? The most popular types of Cloud Backend Engineer jobs are:
Infographic showing various Full Time Cloud Backend Engineer job openings in the United States as of May 2026, with employment types broken down into 76% Full Time, and 24% Part Time. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $147,662 per year, or $71 per hour.

Principal Cloud Backend Engineer

SambaNova

Remote

$128.50K - $177.10K/yr

Full-time

Posted 17 days ago


Job description

Job Summary:
SambaNova is at the forefront of the AI revolution, providing a generative AI platform optimized for enterprise and government organizations. They are seeking a Principal Cloud Backend Engineer to architect and build the core platform for their AI inference services, focusing on monetization strategies and system reliability.
Responsibilities:
• Lead the technical vision and architecture for our inference serving and monetization platform. Design systems that are fault-tolerant, highly available, and can scale to meet growing demand while accurately tracking usage for billing.
• Architect the core systems for flexible monetization, including: Designing a flexible system to define and enforce complex usage plans, rate limits, and access policies.
• Building a highly reliable and accurate system to meter usage (e.g., tokens, requests) at scale and prepare data for billing.
• Designing clean abstractions and APIs to seamlessly integrate with external billing and payment providers (e.g., Stripe, Metronome).
• Architect and implement complex distributed systems involving real-time rate limiting, quota enforcement, and fair-share scheduling for a multi-tenant environment.
• Identify and eliminate bottlenecks in the end-to-end system, ensuring low-latency request handling while maintaining precise financial accuracy.
• Serve as a technical leader and mentor. Establish best practices in code quality, testing, and observability for business-critical financial data pipelines.
• Work closely with Product Management, Finance, and GTM teams to translate business requirements for new pricing models (e.g., subscriptions, pay-as-you-go, custom enterprise plans) into scalable technical solutions.
Qualifications:
Required:
• 10 + years of experience in software engineering, with a significant focus on designing and building large-scale, distributed backend systems in cloud environments.
• 5 + years in a Principal or Lead Engineer role, with a proven track record of architecting, delivering, and operating business-critical platforms.
• Expert proficiency in one or more of the following: Go, Rust and C++. Deep understanding of concurrency, performance optimization, and systems programming.
• Deep, hands-on experience with cloud-native technologies (Kubernetes, Docker, etc.) and major cloud providers (AWS, GCP, Azure).
• Extensive experience with both SQL and NoSQL databases (e.g., PostgreSQL, Redis) and designing data models for high-throughput, low-latency applications.
• Strong foundation in API design (REST, gRPC), event-driven architecture, and building resilient microservices.
• Excellent communication and leadership skills, with the ability to drive technical consensus and articulate complex concepts to a diverse audience.
Preferred:
• Direct Monetization/Billing Experience: Proven experience building or significantly extending platforms for usage-based metering, subscription management, entitlements, or billing systems. Experience with billing providers (e.g., Stripe, Metronome) is a strong plus.
• Experience in AI/ML Infrastructure: Direct experience building or operating platforms for serving, scaling, and managing AI models (e.g., inference servers, model deployment pipelines).
Company:
SambaNova is an AI hardware and software company that specializes in providing infrastructure for AI and machine learning applications. Founded in 2017, the company is headquartered in Palo Alto, USA, with a team of 201-500 employees. The company is currently Growth Stage.