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 IT Labs, Humana, and CVS Health. Find a role that fits below and apply directly.
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Showing 5 of 357+ Remote Senior Cloud Platform Engineer jobs
INTRODUCTION
Greetings from Mastech Digital! We currently have an open role Cloud Platform Engineer with one of our clients that I believe may be of interest to you. This is a relationship-driven and urgent requirement, and the client is looking to interview and onboard a candidate as soon as possible. If this role is not a fit for you, I would greatly appreciate any referrals. Please review the role details below and let me know your interest. Please share your updated resume.
ROLE
Job Title: Cloud Platform Engineer
Location: – Remot
Job Type: Contract (Only W2)
Position Summary:
The Senior Cloud Platform Engineer is a hands-on technical role accountable for the performance, availability, security, and scalability of multi-cloud environment across Google Cloud Platform (GCP) and Amazon Web Services (AWS). This modernized position goes beyond pure operations — it demands deep platform expertise paired with strong development instincts, infrastructure automation skills, and a working command of AI-assisted engineering tools. You will work alongside Cloud Architects, Security, and Application teams to enable enterprise workloads, drive platform governance, and accelerate cloud adoption through high-quality automation and engineering discipline.
BASIC QUALIFICATIONS
Multi-Cloud Platform Experience
- 5+ years designing, deploying, and operating workloads in GCP using best practices and industry standards
- 5+ years designing, deploying, and operating workloads in AWS; hands-on experience in both platforms required
- Operate, maintain, and troubleshoot GCP and AWS PaaS and IaaS services in production environments
- GCP: Deep hands-on experience with GCP services:
- GKE, VPC networking, Shared VPC, VPC Service Controls, Private Service Connect (PSC), IAM (including custom roles), Cloud Monitoring, BigQuery, GCS, DataProc, Dataflow, Cloud Functions, API enablement, project administration
- AWS: Deep hands-on experience with AWS services:
- EKS, EC2, EBS, Auto Scaling, VPC, VPC Endpoints, Route 53, Elastic Load Balancing, S3, EFS, Lambda, API Gateway, CloudWatch, CloudTrail, RDS, DynamoDB, ElastiCache, SQS, SNS, IAM, subnets, routing, security groups, VPC peering
Automation, IaC & Development
- 5+ years of hands-on infrastructure automation using Terraform (primary IaC), gcloud CLI, AWS CLI, and Python
- Develop and maintain Python-based scripting, workflow logic, and automation tooling — not just glue scripts
- Implement and maintain GitHub-based CI/CD automation (GitHub Actions / Workflows) aligned with enterprise patterns
- Experience automating infrastructure provisioning, service enablement, and operational runbooks end-to-end
- Ensure all automation complies with organizational guardrails: environment labels, CMEK, subnet/region constraints, and org policies
Cloud Networking
- Deep understanding of cloud networking fundamentals: VPC design, subnets, routing tables, firewalling, peering models, DNS
- Hands-on experience managing and troubleshooting VPC networks, firewall rules, connectivity issues, and PSC provisioning on both GCP and AWS
- Experience with hybrid connectivity patterns (VPN, Interconnect, Direct Connect)
Security & Identity
- 3+ years designing and implementing IAM models on GCP and AWS, including custom roles and least-privilege patterns
- High degree of knowledge in IT security, data protection, encryption (CMEK/CSEK), and compliance frameworks
- Experience with PII/HIPAA regulated environments a strong plus
AI-Assisted Engineering
- Active use of AI-based tools (e.g., MCP / Model Context Protocol, AI CLIs, LLM-assisted coding tools) to accelerate troubleshooting, automation development, and platform operations
- Ability to critically evaluate, validate, and improve AI-generated code and runbooks — not just accept output
- Demonstrated pattern of using AI to reduce toil and increase engineering throughput, not as a novelty
Version Control & DevOps
- Proficient Git and GitHub workflows: branching strategies, pull requests, code reviews, secrets management
- Experience with DevOps practices and CI/CD pipelines in enterprise environments
- Able to interpret, maintain, and improve cloud runbooks, operational playbooks, and process documentation
PREFERRED QUALIFICATIONS
- AWS Solutions Architect Associate or Professional certification
- GCP Associate Cloud Engineer or Professional Cloud Architect certification
- Experience with ServiceNow-based intake or operational ticket workflows
- Experience planning and executing on-premises to cloud migrations (GCP and/or AWS)
- Experience with enterprise-scale cloud governance, organizational policies, and compliance posture management
- Familiarity with enterprise cloud environments and standards
- Vast understanding of cloud-native architectures and when to apply PaaS vs IaaS vs containerized workloads
Education
Bachelor's degree in computer science, Computer Engineering, Information Systems, or a related technical field. Equivalent work experience demonstrating the required technical depth will be considered.
SUCCESS PROFILE
The ideal candidate for this role:
- Operates with an engineering-first mindset — automation is the default, manual work is the exception
- Thrives in a fast-paced, multi-cloud operational environment and owns problems end-to-end
- Brings genuine depth on both GCP and AWS, not surface-level familiarity
- Integrates AI tooling naturally into their workflow to go faster and build better
- Collaborates without friction across Cloud Engineering, Intake, Security, and Platform teams
- Continuously reduces operational overhead through improved automation, documentation, and service supportability
Warm Regards,
Prachi Gupta
INTRODUCTION
Greetings from Mastech Digital! We currently have an open role Cloud Platform Engineer with one of our clients that I believe may be of interest to you. This is a relationship-driven and urgent requirement, and the client is looking to interview and onboard a candidate as soon as possible. If this role is not a fit for you, I would greatly appreciate any referrals. Please review the role details below and let me know your interest. Please share your updated resume.
ROLE
Job Title: Cloud Platform Engineer
Location: – Remot
Job Type: Contract (Only W2)
Position Summary:
The Senior Cloud Platform Engineer is a hands-on technical role accountable for the performance, availability, security, and scalability of multi-cloud environment across Google Cloud Platform (GCP) and Amazon Web Services (AWS). This modernized position goes beyond pure operations — it demands deep platform expertise paired with strong development instincts, infrastructure automation skills, and a working command of AI-assisted engineering tools. You will work alongside Cloud Architects, Security, and Application teams to enable enterprise workloads, drive platform governance, and accelerate cloud adoption through high-quality automation and engineering discipline.
BASIC QUALIFICATIONS
Multi-Cloud Platform Experience
- 5+ years designing, deploying, and operating workloads in GCP using best practices and industry standards
- 5+ years designing, deploying, and operating workloads in AWS; hands-on experience in both platforms required
- Operate, maintain, and troubleshoot GCP and AWS PaaS and IaaS services in production environments
- GCP: Deep hands-on experience with GCP services:
- GKE, VPC networking, Shared VPC, VPC Service Controls, Private Service Connect (PSC), IAM (including custom roles), Cloud Monitoring, BigQuery, GCS, DataProc, Dataflow, Cloud Functions, API enablement, project administration
- AWS: Deep hands-on experience with AWS services:
- EKS, EC2, EBS, Auto Scaling, VPC, VPC Endpoints, Route 53, Elastic Load Balancing, S3, EFS, Lambda, API Gateway, CloudWatch, CloudTrail, RDS, DynamoDB, ElastiCache, SQS, SNS, IAM, subnets, routing, security groups, VPC peering
Automation, IaC & Development
- 5+ years of hands-on infrastructure automation using Terraform (primary IaC), gcloud CLI, AWS CLI, and Python
- Develop and maintain Python-based scripting, workflow logic, and automation tooling — not just glue scripts
- Implement and maintain GitHub-based CI/CD automation (GitHub Actions / Workflows) aligned with enterprise patterns
- Experience automating infrastructure provisioning, service enablement, and operational runbooks end-to-end
- Ensure all automation complies with organizational guardrails: environment labels, CMEK, subnet/region constraints, and org policies
Cloud Networking
- Deep understanding of cloud networking fundamentals: VPC design, subnets, routing tables, firewalling, peering models, DNS
- Hands-on experience managing and troubleshooting VPC networks, firewall rules, connectivity issues, and PSC provisioning on both GCP and AWS
- Experience with hybrid connectivity patterns (VPN, Interconnect, Direct Connect)
Security & Identity
- 3+ years designing and implementing IAM models on GCP and AWS, including custom roles and least-privilege patterns
- High degree of knowledge in IT security, data protection, encryption (CMEK/CSEK), and compliance frameworks
- Experience with PII/HIPAA regulated environments a strong plus
AI-Assisted Engineering
- Active use of AI-based tools (e.g., MCP / Model Context Protocol, AI CLIs, LLM-assisted coding tools) to accelerate troubleshooting, automation development, and platform operations
- Ability to critically evaluate, validate, and improve AI-generated code and runbooks — not just accept output
- Demonstrated pattern of using AI to reduce toil and increase engineering throughput, not as a novelty
Version Control & DevOps
- Proficient Git and GitHub workflows: branching strategies, pull requests, code reviews, secrets management
- Experience with DevOps practices and CI/CD pipelines in enterprise environments
- Able to interpret, maintain, and improve cloud runbooks, operational playbooks, and process documentation
PREFERRED QUALIFICATIONS
- AWS Solutions Architect Associate or Professional certification
- GCP Associate Cloud Engineer or Professional Cloud Architect certification
- Experience with ServiceNow-based intake or operational ticket workflows
- Experience planning and executing on-premises to cloud migrations (GCP and/or AWS)
- Experience with enterprise-scale cloud governance, organizational policies, and compliance posture management
- Familiarity with enterprise cloud environments and standards
- Vast understanding of cloud-native architectures and when to apply PaaS vs IaaS vs containerized workloads
Education
Bachelor's degree in computer science, Computer Engineering, Information Systems, or a related technical field. Equivalent work experience demonstrating the required technical depth will be considered.
SUCCESS PROFILE
The ideal candidate for this role:
- Operates with an engineering-first mindset — automation is the default, manual work is the exception
- Thrives in a fast-paced, multi-cloud operational environment and owns problems end-to-end
- Brings genuine depth on both GCP and AWS, not surface-level familiarity
- Integrates AI tooling naturally into their workflow to go faster and build better
- Collaborates without friction across Cloud Engineering, Intake, Security, and Platform teams
- Continuously reduces operational overhead through improved automation, documentation, and service supportability
Warm Regards,
Prachi Gupta
See All 357+ 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
- IT Labs42I
- Humana22
- CVS Health13
- The Hartford10
- Capgemini8
Top Industries Hiring
- Technology & Software96
- Healthcare & Medical Services42
- Insurance41
- Consulting & Professional Services15
- Biotechnology & Pharmaceuticals14
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.
Negotiate remote infrastructure access upfront
Before accepting a remote offer, confirm your access to production environments, on-call tooling, and internal documentation systems from day one. Senior cloud platform engineers lose significant ramp time when remote access provisioning is delayed, so clarifying this during the offer stage protects your first 90 days.
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 IT Labs, Humana, and CVS Health, per current remote listings on Migrate Mate as of June 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, Healthcare & Medical Services, and Insurance, based on current remote listings on Migrate Mate as of June 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.
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