Remote Staff Cloud Engineer Jobs
Remote staff cloud engineer jobs are open across cloud-native software companies, fintech platforms, healthcare technology firms, and enterprise SaaS organizations that run fully distributed engineering teams. Hiring right now includes Agiloft, GitHub, and Reltio. See the openings below and apply to the ones that match your experience.
Find JobsOverview
Showing 5 of 7+ Remote Staff Cloud Engineer jobs
Top analysts like Gartner, Forrester, and IDC agree, all showing Agiloft as a leader in the CLM space. Our no code platform is easily managed and administered by business users, which is why Agiloft is the contract you keep: nearly a full 100% of new customers are satisfied with their initial implementations, and some 97% of customers renew every year. Ours is a growing, vibrant, successful company that is at the forefront of a market that is becoming a must-have for all organizations.
We believe that the way to build the strongest, most vibrant place to work is to bring in individuals from all walks of life, and to support them in bringing their authentic selves to their day, every day. Our working philosophy is that “EX = CX”: when employee experience is excellent, so is customer experience. We support multiple Employee Resource Groups (ERGs), and offer a working environment that supports healthy work/life balance, including floating holidays and a quarterly, no-questions-asked wellness day.
Position Overview
We are seeking an experienced Staff Software Engineer – Cloud Services to own and evolve the architecture of Agiloft’s cloud-native CLM platform and supporting infrastructure. This role has end-to-end accountability for the design, reliability, scalability, security, and long-term health of cloud services that underpin the Agiloft platform.
Operating at both the platform- and organizational level, you will partner closely with Engineering leadership, senior engineers, and product leaders to translate business- and product strategy into durable cloud architectures and executable technical plans. A key focus of this role is designing and enabling scalable, observable, and resilient cloud services on AWS, while accelerating delivery through modern DevOps- and AI-assisted engineering practices.
This is a hands-on leadership role combining deep cloud and backend expertise with broad influence. Your work will directly shape Agiloft’s cloud architecture, operational posture, developer experience, and ability to scale reliably as the platform evolves.
Job Responsibilities
Architecture Ownership & Stewardship
- Own the architecture of one or more critical cloud service domains, with responsibility for design integrity, scalability, reliability, security, and technical debt management over time.
- Act as the architectural steward for AWS-based services, ensuring systems remain scalable, resilient, cost-efficient, secure, and maintainable as customer and platform demands grow.
- Define service boundaries, APIs, data contracts, and integration patterns that enable independent evolution of cloud services.
- Drive cloud-native design principles, including stateless services, managed services adoption, and failure-tolerant architectures.
Strategic Technical Leadership
- Lead the planning and execution of cloud architecture improvements that enhance scalability, availability, performance, and operational efficiency.
- Translate architectural vision into mid- and long-term technical roadmaps, balancing near-term delivery with long-term cloud sustainability and cost optimization.
- Drive cross-team alignment on design standards and architectural trade-offs.
- Partner with CloudOps teams to define reliability targets, disaster recovery strategies, and operational readiness standards.
Cloud native & AI-Forward Engineering Enablement
- Champion modern cloud-native development practices, including infrastructure-as-code, automated testing, continuous delivery, and observability-by-default.
- Lead adoption of AI-assisted software engineering for cloud service development, infrastructure definition, testing, troubleshooting, and refactoring.
- Design cloud services and infrastructure that are AI-friendly by design, enabling safer automation, faster iteration, and improved operational insight.
- Collaborate with engineering leadership to establish best practices and guardrails for responsible, secure use of AI tools across the cloud SDLC.
Engineering Excellence & Developer Experience
- Set and uphold high standards for service reliability, security, observability, performance, and cost management.
- Drive improvements to developer experience for cloud services, including local development, CI/CD pipelines, deployment workflows, and operational tooling.
- Ensure architectural decisions, service contracts, and operational runbooks are well-documented, discoverable, and actionable.
- Promote a strong culture of ownership and continuous improvement.
Mentorship & Organizational Impact
- Mentor senior and mid-level engineers, raising the bar for cloud architecture, distributed systems design, and operational thinking.
- Serve as a technical multiplier—unblocking teams, accelerating architectural decisions, and reducing long-term operational complexity.
- Communicate complex cloud and systems concepts clearly to both technical and non-technical stakeholders.
- Stay ahead of industry trends in AWS services, cloud-native architectures, AI-enabled operations, and DevOps practices, driving pragmatic adoption where it delivers clear business value.
Other duties as assigned.
Required Qualifications
- Bachelor’s and/or master’s degree in computer science, Information Systems, Software, Electrical, or Electronics Engineering, or a comparable field of study.
- 10+ years of professional software engineering experience,
- 2+ years at staff level.
- Strong proficiency in Python, with working experience in Java, building backend- and cloud-based services.
- Deep experience designing, building, and operating scalable enterprise-grade applications on AWS
- Demonstrated experience owning and evolving architecture for complex, distributed, and long-lived cloud platforms.
- Proven ability to lead service refactoring, software architecture modernization, and platform evolution initiatives while maintaining delivery velocity.
- Strong experience with infrastructure-as-code and automation tools such as Terraform or CloudFormation.
- Experience designing and evolving CI/CD pipelines for cloud services.
- Strong understanding of observability, including logging, metrics, tracing, and alerting in distributed systems.
- Proficiency with AI-assisted development processes and tools.
- Ability to reason holistically about distributed systems while diving deep into critical technical details when needed.
- Exceptional problem-solving skills with a track record of making sound architectural and operational trade-offs.
- Demonstrated ability to influence technical direction across teams through expertise, communication, and trust.
- Excellent written and verbal communication skills, particularly around architecture, risk, reliability, and long-term technical strategy.
Background checks will be conducted on an ongoing basis every 3 years or as needed for individuals in this role.
Agiloft offers a comprehensive benefits package for US employees including but not limited to the following:
- Medical, dental, and vision insurance
- Short term and long-term disability
- Life insurance and AD&D
- Supplemental life insurance (Employee/Spouse/Child)
- Health care and dependent care Flexible Spending Accounts
- 401(k) with company match
- Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non- overtime eligible) position.
- Paid parental leave
- Voluntary benefits including pet insurance
Applications will be reviewed as submitted. There will be no application deadline for this opportunity.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Top analysts like Gartner, Forrester, and IDC agree, all showing Agiloft as a leader in the CLM space. Our no code platform is easily managed and administered by business users, which is why Agiloft is the contract you keep: nearly a full 100% of new customers are satisfied with their initial implementations, and some 97% of customers renew every year. Ours is a growing, vibrant, successful company that is at the forefront of a market that is becoming a must-have for all organizations.
We believe that the way to build the strongest, most vibrant place to work is to bring in individuals from all walks of life, and to support them in bringing their authentic selves to their day, every day. Our working philosophy is that “EX = CX”: when employee experience is excellent, so is customer experience. We support multiple Employee Resource Groups (ERGs), and offer a working environment that supports healthy work/life balance, including floating holidays and a quarterly, no-questions-asked wellness day.
Position Overview
We are seeking an experienced Staff Software Engineer – Cloud Services to own and evolve the architecture of Agiloft’s cloud-native CLM platform and supporting infrastructure. This role has end-to-end accountability for the design, reliability, scalability, security, and long-term health of cloud services that underpin the Agiloft platform.
Operating at both the platform- and organizational level, you will partner closely with Engineering leadership, senior engineers, and product leaders to translate business- and product strategy into durable cloud architectures and executable technical plans. A key focus of this role is designing and enabling scalable, observable, and resilient cloud services on AWS, while accelerating delivery through modern DevOps- and AI-assisted engineering practices.
This is a hands-on leadership role combining deep cloud and backend expertise with broad influence. Your work will directly shape Agiloft’s cloud architecture, operational posture, developer experience, and ability to scale reliably as the platform evolves.
Job Responsibilities
Architecture Ownership & Stewardship
- Own the architecture of one or more critical cloud service domains, with responsibility for design integrity, scalability, reliability, security, and technical debt management over time.
- Act as the architectural steward for AWS-based services, ensuring systems remain scalable, resilient, cost-efficient, secure, and maintainable as customer and platform demands grow.
- Define service boundaries, APIs, data contracts, and integration patterns that enable independent evolution of cloud services.
- Drive cloud-native design principles, including stateless services, managed services adoption, and failure-tolerant architectures.
Strategic Technical Leadership
- Lead the planning and execution of cloud architecture improvements that enhance scalability, availability, performance, and operational efficiency.
- Translate architectural vision into mid- and long-term technical roadmaps, balancing near-term delivery with long-term cloud sustainability and cost optimization.
- Drive cross-team alignment on design standards and architectural trade-offs.
- Partner with CloudOps teams to define reliability targets, disaster recovery strategies, and operational readiness standards.
Cloud native & AI-Forward Engineering Enablement
- Champion modern cloud-native development practices, including infrastructure-as-code, automated testing, continuous delivery, and observability-by-default.
- Lead adoption of AI-assisted software engineering for cloud service development, infrastructure definition, testing, troubleshooting, and refactoring.
- Design cloud services and infrastructure that are AI-friendly by design, enabling safer automation, faster iteration, and improved operational insight.
- Collaborate with engineering leadership to establish best practices and guardrails for responsible, secure use of AI tools across the cloud SDLC.
Engineering Excellence & Developer Experience
- Set and uphold high standards for service reliability, security, observability, performance, and cost management.
- Drive improvements to developer experience for cloud services, including local development, CI/CD pipelines, deployment workflows, and operational tooling.
- Ensure architectural decisions, service contracts, and operational runbooks are well-documented, discoverable, and actionable.
- Promote a strong culture of ownership and continuous improvement.
Mentorship & Organizational Impact
- Mentor senior and mid-level engineers, raising the bar for cloud architecture, distributed systems design, and operational thinking.
- Serve as a technical multiplier—unblocking teams, accelerating architectural decisions, and reducing long-term operational complexity.
- Communicate complex cloud and systems concepts clearly to both technical and non-technical stakeholders.
- Stay ahead of industry trends in AWS services, cloud-native architectures, AI-enabled operations, and DevOps practices, driving pragmatic adoption where it delivers clear business value.
Other duties as assigned.
Required Qualifications
- Bachelor’s and/or master’s degree in computer science, Information Systems, Software, Electrical, or Electronics Engineering, or a comparable field of study.
- 10+ years of professional software engineering experience,
- 2+ years at staff level.
- Strong proficiency in Python, with working experience in Java, building backend- and cloud-based services.
- Deep experience designing, building, and operating scalable enterprise-grade applications on AWS
- Demonstrated experience owning and evolving architecture for complex, distributed, and long-lived cloud platforms.
- Proven ability to lead service refactoring, software architecture modernization, and platform evolution initiatives while maintaining delivery velocity.
- Strong experience with infrastructure-as-code and automation tools such as Terraform or CloudFormation.
- Experience designing and evolving CI/CD pipelines for cloud services.
- Strong understanding of observability, including logging, metrics, tracing, and alerting in distributed systems.
- Proficiency with AI-assisted development processes and tools.
- Ability to reason holistically about distributed systems while diving deep into critical technical details when needed.
- Exceptional problem-solving skills with a track record of making sound architectural and operational trade-offs.
- Demonstrated ability to influence technical direction across teams through expertise, communication, and trust.
- Excellent written and verbal communication skills, particularly around architecture, risk, reliability, and long-term technical strategy.
Background checks will be conducted on an ongoing basis every 3 years or as needed for individuals in this role.
Agiloft offers a comprehensive benefits package for US employees including but not limited to the following:
- Medical, dental, and vision insurance
- Short term and long-term disability
- Life insurance and AD&D
- Supplemental life insurance (Employee/Spouse/Child)
- Health care and dependent care Flexible Spending Accounts
- 401(k) with company match
- Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non- overtime eligible) position.
- Paid parental leave
- Voluntary benefits including pet insurance
Applications will be reviewed as submitted. There will be no application deadline for this opportunity.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
See All 7 Remote Staff Cloud Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsRemote Staff Cloud Engineer Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
What Employers Look For
The qualifications that appear most often in remote staff cloud engineer jobs.
- 7 or more years of experience designing and operating large-scale cloud infrastructure
- Deep expertise in at least one major cloud platform such as AWS, Google Cloud, or Azure
- Experience with infrastructure-as-code tools including Terraform, Pulumi, or CDK
- Proficiency in containerization and orchestration using Kubernetes and Docker
- Demonstrated ability to lead cross-functional architectural initiatives and define engineering standards
- Bachelor's degree in computer science, engineering, or a related technical field
Tips for Your Remote Staff Cloud Engineer Job Search
Apply early to remote roles that fit
Migrate Mate lists remote staff cloud engineer openings from across the U.S. in one place, so you can find roles that match your stack and apply directly without sorting through on-site listings mixed in. Apply within the first few days of a posting going live.
Show async collaboration skills concretely
Remote engineering teams hire staff cloud engineers who write clearly and communicate infrastructure decisions without a meeting. Document a past architecture decision, incident review, or RFC in your portfolio so interviewers can read your reasoning before the first call.
Prove infrastructure ownership in your resume
Remote employers want staff engineers who have owned systems end to end, not just contributed to them. Name the cloud platforms, IaC tooling, and scale you've worked with, and describe outcomes you drove rather than tasks you completed on a team.
Prepare for remote-first technical interviews
Distributed engineering teams often use live collaborative environments like shared Terraform workspaces or cloud console walkthroughs instead of whiteboard sessions. Practice talking through infrastructure design decisions out loud while sharing a screen, since that is exactly how remote staff engineer interviews run.
Remote Staff Cloud Engineer Jobs: Frequently Asked Questions
How do I get a remote staff cloud engineer job?
Remote staff cloud engineer roles go to candidates who can demonstrate deep infrastructure ownership without in-person oversight. Remote-first companies and distributed teams screen heavily for async written communication, self-directed problem-solving, and hands-on experience with Kubernetes, Terraform, and major cloud platforms. A portfolio of public infrastructure projects, open-source contributions, or documented system designs gives you a concrete edge over candidates with similar credentials but no remote-ready proof of work.
Which companies hire remote staff cloud engineers?
Companies hiring remote staff cloud engineers right now include Agiloft, GitHub, and Reltio, based on current remote listings on Migrate Mate as of November 2026. Remote-first software companies, distributed fintech platforms, and cloud-native healthcare technology firms make up the largest share of these openings, as their engineering teams are built to operate across time zones without a central office.
Can you get a remote staff cloud engineer job with no experience?
Yes, but remote entry-level cloud engineer roles are harder to land because employers expect you to debug infrastructure issues and ship changes independently from day one. Cloud-native startups and remote-first SaaS companies are the most likely to hire entry-level candidates remotely. A home lab, AWS or GCP certifications, and documented personal projects you can walk an interviewer through replace the mentorship structure that an office would otherwise provide.
Do you need a degree for remote staff cloud engineer jobs?
Not always. Remote employers hiring staff cloud engineers consistently weight demonstrable cloud infrastructure skills, production experience, and certifications over a formal degree. Candidates who can show ownership of complex distributed systems, incident response history, and expertise in infrastructure-as-code tools compete effectively against degree holders. A strong GitHub profile and relevant cloud certifications often carry more weight in a remote hiring process than the credential on your transcript.
Which industries hire the most remote staff cloud engineers?
Remote staff cloud engineer roles concentrate in Technology & Software, based on current remote listings on Migrate Mate as of November 2026. These sectors hire staff cloud engineers remotely because their products are entirely cloud-delivered, their engineering organizations are structured as distributed teams, and infrastructure work does not require physical presence to be effective.
See All 7 Remote Staff Cloud Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find Jobs