Remote Cloud Platform Engineer Jobs
Remote cloud platform engineer jobs are open across the U.S. in sectors like cloud infrastructure, SaaS, fintech, and enterprise software, at companies ranging from remote-first startups to large distributed engineering teams. Employers hiring remotely right now include CVS Health, Invoice Cloud, and The Hartford. Find a role that fits below and apply directly.
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Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
- Note: This position requires presence in our San Francisco/San Jose/Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
About the Role
As a Senior or Staff Software Engineer in Lambda’s Cloud Services Engineering organization, you will build and operate the distributed systems that power Lambda’s GPU cloud. Our teams own platform capabilities across compute control planes, managed Kubernetes, cloud APIs, identity and access, usage metering and billing, capacity and orchestration, reliability, and developer-facing infrastructure.
You will turn large-scale GPU infrastructure into reliable, secure, customer-facing cloud services by building APIs, workflows, stateful controllers, schedulers, and operational tooling. You will be full cycle engineer, owning systems through design, deployment, on-call, incident follow-through, and continuous improvement.
This role is a strong fit for engineers who enjoy cloud infrastructure, distributed systems, operational excellence, and solving ambiguous problems across software and infrastructure boundaries. Senior engineers lead complex work within a team or domain; Staff engineers additionally shape cross-team architecture and make other teams more effective.
What You’ll Do
Design, build, and operate services, APIs, control planes, and platform capabilities that power Lambda’s AI cloud.
Solve distributed-systems problems involving state, consistency, concurrency, scheduling, failure recovery, and safe lifecycle management.
Own the full engineering lifecycle: problem framing, architecture, implementation, testing, rollout, observability, on-call, and continuous improvement.
Improve system availability, latency, throughput, efficiency, security, and operability as Lambda grows by orders of magnitude.
Turn incidents and near misses into durable engineering improvements, including better automation, testing, guardrails, and backstops.
Work across product, infrastructure, networking, storage, security, and SRE teams to resolve dependencies and deliver the right outcome for customers.
Use AI-assisted development tools with judgment: accelerate exploration and implementation while independently verifying correctness, security, and maintainability.
Contribute to technical standards, design and code reviews, and mentorship; at Staff level, lead cross-team architecture and raise the technical ceiling of the organization.
What we’re looking for
7 or more years of professional software engineering experience, or equivalent evidence of impact building production systems.
Depth in at least one general-purpose language, we work primarily in Go and Python, and candidates interview in the language they know best. We look for someone who can reason about concurrency, error handling, and testing in that language, not someone who has used it.
Experience designing, building, and operating backend services, distributed systems, infrastructure, or platform capabilities at meaningful scale.
Practical understanding of system design, data models, APIs, failure modes, performance, and the tradeoffs required to run reliable software in production.
A track record of owning complex work through delivery and operation, including testing, staged rollout, monitoring, incident response, and root-cause improvement.
Proven track record of aligning cross functional partners and gaining consensus around decisions and tradeoffs.
Nice to Have
2+ years of experience building cloud services or platform infrastructure, or operating large-scale production systems on AWS, GCP, Azure, or a comparable cloud platform.
Experience with Kubernetes, container orchestration, schedulers, controllers, or cloud control-plane systems.
Depth in one or more cloud infrastructure or platform domains, such as compute, storage, networking, identity and access, developer platforms, container orchestration, usage metering and billing, databases, or fleet management.
Experience with infrastructure automation, durable workflow systems, event-driven architectures, or infrastructure as code.
Experience designing highly available, multi-region, or rapidly scaling distributed systems.
Familiarity with GPU infrastructure, HPC environments, or large-scale AI/ML training and inference workloads.
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
Compensation Range: $230K - $346K
Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
- Note: This position requires presence in our San Francisco/San Jose/Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
About the Role
As a Senior or Staff Software Engineer in Lambda’s Cloud Services Engineering organization, you will build and operate the distributed systems that power Lambda’s GPU cloud. Our teams own platform capabilities across compute control planes, managed Kubernetes, cloud APIs, identity and access, usage metering and billing, capacity and orchestration, reliability, and developer-facing infrastructure.
You will turn large-scale GPU infrastructure into reliable, secure, customer-facing cloud services by building APIs, workflows, stateful controllers, schedulers, and operational tooling. You will be full cycle engineer, owning systems through design, deployment, on-call, incident follow-through, and continuous improvement.
This role is a strong fit for engineers who enjoy cloud infrastructure, distributed systems, operational excellence, and solving ambiguous problems across software and infrastructure boundaries. Senior engineers lead complex work within a team or domain; Staff engineers additionally shape cross-team architecture and make other teams more effective.
What You’ll Do
Design, build, and operate services, APIs, control planes, and platform capabilities that power Lambda’s AI cloud.
Solve distributed-systems problems involving state, consistency, concurrency, scheduling, failure recovery, and safe lifecycle management.
Own the full engineering lifecycle: problem framing, architecture, implementation, testing, rollout, observability, on-call, and continuous improvement.
Improve system availability, latency, throughput, efficiency, security, and operability as Lambda grows by orders of magnitude.
Turn incidents and near misses into durable engineering improvements, including better automation, testing, guardrails, and backstops.
Work across product, infrastructure, networking, storage, security, and SRE teams to resolve dependencies and deliver the right outcome for customers.
Use AI-assisted development tools with judgment: accelerate exploration and implementation while independently verifying correctness, security, and maintainability.
Contribute to technical standards, design and code reviews, and mentorship; at Staff level, lead cross-team architecture and raise the technical ceiling of the organization.
What we’re looking for
7 or more years of professional software engineering experience, or equivalent evidence of impact building production systems.
Depth in at least one general-purpose language, we work primarily in Go and Python, and candidates interview in the language they know best. We look for someone who can reason about concurrency, error handling, and testing in that language, not someone who has used it.
Experience designing, building, and operating backend services, distributed systems, infrastructure, or platform capabilities at meaningful scale.
Practical understanding of system design, data models, APIs, failure modes, performance, and the tradeoffs required to run reliable software in production.
A track record of owning complex work through delivery and operation, including testing, staged rollout, monitoring, incident response, and root-cause improvement.
Proven track record of aligning cross functional partners and gaining consensus around decisions and tradeoffs.
Nice to Have
2+ years of experience building cloud services or platform infrastructure, or operating large-scale production systems on AWS, GCP, Azure, or a comparable cloud platform.
Experience with Kubernetes, container orchestration, schedulers, controllers, or cloud control-plane systems.
Depth in one or more cloud infrastructure or platform domains, such as compute, storage, networking, identity and access, developer platforms, container orchestration, usage metering and billing, databases, or fleet management.
Experience with infrastructure automation, durable workflow systems, event-driven architectures, or infrastructure as code.
Experience designing highly available, multi-region, or rapidly scaling distributed systems.
Familiarity with GPU infrastructure, HPC environments, or large-scale AI/ML training and inference workloads.
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
Compensation Range: $230K - $346K
See All 47 Remote Cloud Platform Engineer Jobs
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Find JobsRemote Cloud Platform Engineer Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Insurance
- Retail
What Employers Look For
The qualifications that appear most often in remote cloud platform engineer jobs.
- 3 or more years of hands-on experience with at least one major cloud provider such as AWS, Azure, or GCP
- Proficiency with Kubernetes and container orchestration in production environments
- Experience writing infrastructure as code using Terraform, Pulumi, or CloudFormation
- Familiarity with CI/CD pipeline tools such as Jenkins, GitHub Actions, or ArgoCD
- Understanding of networking concepts including VPCs, load balancers, DNS, and security groups
- Bachelor's degree in computer science, engineering, or a related technical field, or equivalent experience
Tips for Your Remote Cloud Platform Engineer Job Search
Apply early to remote roles that fit
Migrate Mate lists remote cloud platform engineer openings from across the U.S. in one place, so you can find roles that match your stack and experience level and apply directly before postings fill.
Show your async communication style
Remote cloud platform engineering teams run on written documentation, not verbal check-ins. Include links to architecture decision records, runbooks, or internal wikis you've authored to prove you can communicate infrastructure decisions clearly in writing.
Build a public cloud infrastructure portfolio
Remote employers can't watch you work in person, so a public GitHub with real Terraform modules, Kubernetes configurations, or CI/CD pipeline setups is your most credible signal. Reference production-like complexity wherever you can.
Target remote-first companies by their tooling
Companies already using Slack, GitHub, Notion, and Jira for distributed collaboration are structurally built for remote platform engineers. Research a company's public engineering blog or job description for these signals before applying.
Remote Cloud Platform Engineer Jobs: Frequently Asked Questions
How do I get a remote cloud platform engineer job?
Remote cloud platform engineer roles go to candidates who can demonstrate self-direction and strong async communication alongside the technical skills. Remote-first SaaS companies, cloud-native startups, and distributed enterprise teams hire most heavily in this space. Certifications in AWS, GCP, or Azure help, but what gives you an edge is showing documented remote work, clean written technical communication, and fluency with tools like Terraform, Kubernetes, and GitOps workflows.
Which companies hire remote cloud platform engineers?
Remote cloud platform engineer roles are posted by CVS Health, Invoice Cloud, and The Hartford and others right now, based on current remote listings on Migrate Mate as of September 2026. Most are remote-first or heavily distributed firms in sectors like cloud infrastructure, fintech, and enterprise software where platform teams operate entirely across time zones.
Can you get a remote cloud platform engineer job with no experience?
Yes, but remote entry-level cloud platform engineer roles are harder to land because employers expect you to work independently from day one with minimal in-person support. Your strongest path is building a public portfolio of cloud projects on GitHub, earning foundational certifications like AWS Cloud Practitioner or GCP Associate, and targeting smaller remote-first teams or startups that are more open to training junior engineers in a distributed environment.
Do you need a degree for remote cloud platform engineer jobs?
Not always. Many remote employers weigh demonstrated cloud skills, certifications, and real project outcomes over a formal degree for cloud platform engineers. A strong GitHub portfolio, hands-on experience with Terraform, Kubernetes, or CI/CD pipelines, and relevant certifications from AWS, GCP, or Azure carry significant weight, especially at remote-first companies that evaluate candidates on output rather than credentials.
Which industries hire the most remote cloud platform engineers?
Most remote cloud platform engineer openings sit in Technology & Software, Insurance, and Retail, per current remote listings on Migrate Mate as of September 2026. These sectors rely on distributed engineering teams that manage cloud infrastructure across multiple regions without a centralized office, making remote cloud platform roles a natural fit.
See All 47 Remote Cloud Platform Engineer Jobs
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