Remote Senior Cloud Platform Engineer Jobs
Remote Senior Cloud Platform Engineer jobs are open across the U.S. at remote-first firms, distributed engineering teams, and technology-forward organizations in cloud infrastructure, SaaS, fintech, and healthcare IT. Employers hiring remotely right now include CVS Health, Invoice Cloud, and The Hartford. Find a role that fits below and apply directly.
Find JobsOverview
Showing 5 of 47+ Remote Senior Cloud Platform Engineer jobs
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 Senior Cloud Platform Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsRemote Senior 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 senior cloud platform engineer jobs.
- Five or more years of hands-on cloud infrastructure experience with AWS, GCP, or Azure
- Deep proficiency in Kubernetes and container orchestration at production scale
- Experience building and maintaining CI/CD pipelines using tools like Jenkins, GitHub Actions, or ArgoCD
- Infrastructure-as-code expertise with Terraform, Pulumi, or equivalent tooling
- Strong scripting and automation skills in Python, Go, or Bash
- Bachelor's degree in computer science, engineering, or a related technical field
Tips for Your Remote Senior Cloud Platform Engineer Job Search
Show your async infrastructure work clearly
Remote hiring managers can't watch you work, so your GitHub, internal docs, or runbooks need to do it for them. Link to IaC repositories, architecture decision records, or incident post-mortems that show how you communicate platform decisions in writing without a meeting.
Target remote-first companies over remote-allowed ones
Remote-first companies build their engineering culture around distributed work, so senior cloud platform engineers get full autonomy and clear escalation paths. Remote-allowed roles at office-centric companies often expect informal in-person coordination that disadvantages engineers working from a different location.
Apply early to remote roles that fit
Migrate Mate lists remote senior cloud platform engineer openings from across the U.S. in one place. You can find roles that match your stack and location preference and apply directly, without sorting through mixed remote and on-site listings across multiple sites.
Prepare for remote-specific technical screening
Distributed teams often run multi-stage async technical screens: a take-home architecture review, a live Terraform or Kubernetes pairing session over video, and a written incident-response scenario. Practice articulating your cloud platform reasoning in writing before your first screen, not only verbally.
Remote Senior Cloud Platform Engineer Jobs: Frequently Asked Questions
How do I get a remote senior cloud platform engineer job?
Remote senior cloud platform engineer roles go to candidates who can demonstrate independent execution and clear async communication, not just technical depth. Remote-first companies and distributed teams screen heavily for self-direction, documentation habits, and comfort owning infrastructure decisions without daily in-person oversight. Strong IaC portfolios, public cloud certifications, and experience shipping platform changes across time zones give candidates a measurable edge over equally skilled applicants who lack visible remote work history.
Which companies hire remote senior cloud platform engineers?
Employers currently hiring remote senior cloud platform engineers include CVS Health, Invoice Cloud, and The Hartford, per current remote listings on Migrate Mate as of September 2026. Remote-first software companies, distributed cloud-native startups, and large enterprises running multi-region infrastructure are the most consistent sources of fully remote openings for this role.
Can you get a remote senior cloud platform engineer job with no experience?
Yes, but remote entry into cloud platform engineering is harder than in-office entry because you must troubleshoot and make architectural decisions independently from day one. Cloud-native startups and early-stage companies are most open to entry-level remote hires. A public cloud certification, a GitHub portfolio showing real infrastructure-as-code projects, and demonstrated written communication skills can substitute for formal job history and open doors to junior platform roles.
Do you need a degree for remote senior cloud platform engineer jobs?
Not always. Remote employers in this field consistently prioritize hands-on cloud platform experience, certifications from AWS, GCP, or Azure, and a demonstrable record of building and operating production-grade infrastructure. A computer science degree helps but is rarely a hard requirement when a candidate can show real platform work, strong async communication, and the ability to operate autonomously in a distributed team.
Which industries hire the most remote senior cloud platform engineers?
The sectors hiring the most remote senior cloud platform engineers are Technology & Software, Insurance, and Retail, based on current remote listings on Migrate Mate as of September 2026. These industries rely on distributed engineering teams running multi-region cloud infrastructure, which makes fully remote platform engineers a natural fit for their operating models.
See All 47 Remote Senior Cloud Platform Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find Jobs