Remote Backend Infrastructure Engineer Jobs
Remote backend infrastructure engineer jobs are open across the U.S. at remote-first firms and distributed engineering teams, with strong demand in software, cloud services, and fintech. Employers hiring remotely right now include Affirm, BNY, and Rechat. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 8+ Remote Backend Infrastructure Engineer jobs
Location
Remote - EMEA
Employment Type
Full time
Location Type
Remote
Department
Engineering
About Us
Launched in 2019, Constructor is an AI-first e-commerce search and discovery platform that helps shoppers find the right products at the right time and enables leading global e-commerce brands to drive meaningful revenue and conversion gains.
About The Role
The ML Infrastructure team builds and operates the shared backend services and platform capabilities that Constructor's ML and product teams rely on to develop, deploy, and run machine learning at scale - from model serving (including LLMs) to the specialized storages and data pipelines behind it.
We are a service team by nature: our roadmap is shaped by the needs of product teams, and we succeed when they can move faster with less friction. We're looking for a Senior Backend Engineer who is comfortable with, and motivated by this dynamic, and who will take end-to-end ownership of core services.
In the near and mid-term, our focus areas include:
Making ML workloads easy to run, scale, and operate for every team
Providing self-service, configurable infrastructure components to ML and product teams
Owning and evolving core ML services and related pipelines with a high bar for reliability and performance
Challenges you will tackle
Design, build, and operate high-load distributed backend services that power the company's ML infrastructure
Take end-to-end ownership of core ML services and related data pipelines: from design and implementation to deployment, observability, and continuous improvement
Partner with ML and product teams to understand their needs and turn them into reliable, reusable platform capabilities
Make and defend technical decisions: evaluate trade-offs, design first, and own the outcome
Be responsible for what you and your team do
Requirements
5+ years of professional experience in backend or platform engineering
Extensive Python knowledge (our primary language)
Hands-on experience developing on a public cloud (AWS, GCP, or Azure) or with self-managed Kubernetes - AWS is our primary platform, but we're not limited to it
Experience designing and building distributed, high-load services and APIs
Strong knowledge of data structures, algorithms, and their trade-offs
Design-driven engineering mindset: we're a coding-assistant-friendly environment and expect you to use modern AI tools - but you lead with system design and a strong understanding of their applicability and trade-offs
Ownership and proactivity: you can't close your eyes to problems, but are ready to solve them and take responsibility for outcomes
You are friendly and willing to help your teammates & others
Nice to have:
Experience with Rust (or C/C++/Go) - a strong plus
Experience developing or contributing to ML platforms or ML infrastructure - a strong plus
Experience setting up and operating any vector database (Qdrant, Milvus, Weaviate, OpenSearch, pgvector, etc.) - a strong plus
Experience with model serving / inference infrastructure, including LLMs
Experience with Infrastructure as Code (Terraform or similar)
Benefits
️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year
Fully remote team - choose where you live
️ Work from home stipend! We want you to have the resources you need to set up your home office
Apple laptops provided for new employees
Training and development budget for every employee, refreshed each year
Maternity & Paternity leave for qualified employees
Work with smart people who will help you grow and make a meaningful impact
Base salary: $80k–$120k USD, depending on knowledge, skills, experience, and interview results
Stock options - offered in addition to the base salary
Regular team offsites to connect and collaborate
Diversity, Equity, and Inclusion at Constructor
At Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group.
Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications.
How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice. After that period your data will be deleted or anonymized.
Location
Remote - EMEA
Employment Type
Full time
Location Type
Remote
Department
Engineering
About Us
Launched in 2019, Constructor is an AI-first e-commerce search and discovery platform that helps shoppers find the right products at the right time and enables leading global e-commerce brands to drive meaningful revenue and conversion gains.
About The Role
The ML Infrastructure team builds and operates the shared backend services and platform capabilities that Constructor's ML and product teams rely on to develop, deploy, and run machine learning at scale - from model serving (including LLMs) to the specialized storages and data pipelines behind it.
We are a service team by nature: our roadmap is shaped by the needs of product teams, and we succeed when they can move faster with less friction. We're looking for a Senior Backend Engineer who is comfortable with, and motivated by this dynamic, and who will take end-to-end ownership of core services.
In the near and mid-term, our focus areas include:
Making ML workloads easy to run, scale, and operate for every team
Providing self-service, configurable infrastructure components to ML and product teams
Owning and evolving core ML services and related pipelines with a high bar for reliability and performance
Challenges you will tackle
Design, build, and operate high-load distributed backend services that power the company's ML infrastructure
Take end-to-end ownership of core ML services and related data pipelines: from design and implementation to deployment, observability, and continuous improvement
Partner with ML and product teams to understand their needs and turn them into reliable, reusable platform capabilities
Make and defend technical decisions: evaluate trade-offs, design first, and own the outcome
Be responsible for what you and your team do
Requirements
5+ years of professional experience in backend or platform engineering
Extensive Python knowledge (our primary language)
Hands-on experience developing on a public cloud (AWS, GCP, or Azure) or with self-managed Kubernetes - AWS is our primary platform, but we're not limited to it
Experience designing and building distributed, high-load services and APIs
Strong knowledge of data structures, algorithms, and their trade-offs
Design-driven engineering mindset: we're a coding-assistant-friendly environment and expect you to use modern AI tools - but you lead with system design and a strong understanding of their applicability and trade-offs
Ownership and proactivity: you can't close your eyes to problems, but are ready to solve them and take responsibility for outcomes
You are friendly and willing to help your teammates & others
Nice to have:
Experience with Rust (or C/C++/Go) - a strong plus
Experience developing or contributing to ML platforms or ML infrastructure - a strong plus
Experience setting up and operating any vector database (Qdrant, Milvus, Weaviate, OpenSearch, pgvector, etc.) - a strong plus
Experience with model serving / inference infrastructure, including LLMs
Experience with Infrastructure as Code (Terraform or similar)
Benefits
️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year
Fully remote team - choose where you live
️ Work from home stipend! We want you to have the resources you need to set up your home office
Apple laptops provided for new employees
Training and development budget for every employee, refreshed each year
Maternity & Paternity leave for qualified employees
Work with smart people who will help you grow and make a meaningful impact
Base salary: $80k–$120k USD, depending on knowledge, skills, experience, and interview results
Stock options - offered in addition to the base salary
Regular team offsites to connect and collaborate
Diversity, Equity, and Inclusion at Constructor
At Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group.
Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications.
How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice. After that period your data will be deleted or anonymized.
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Who's Hiring
Top Industries Hiring
- Banking & Financial Services
What Employers Look For
The qualifications that appear most often in remote backend infrastructure engineer jobs.
- Proficiency with cloud platforms such as AWS, Google Cloud, or Microsoft Azure
- Hands-on experience with container orchestration tools, particularly Kubernetes
- Infrastructure-as-code experience using Terraform, Pulumi, or equivalent tooling
- Strong understanding of networking, load balancing, and distributed system design
- Experience with CI/CD pipelines, deployment automation, and observability tooling
- Bachelor's degree in computer science, engineering, or a related technical field
Tips for Your Remote Backend Infrastructure Engineer Job Search
Apply early to remote roles that fit
Migrate Mate lists remote backend infrastructure engineer openings from across the U.S. in one place. Search by role and apply directly to the ones that match your stack and availability before postings close.
Show your infrastructure work publicly
Remote employers can't see you in an office, so your GitHub matters more. Publish Terraform modules, Kubernetes configs, or CI/CD pipeline setups. Documented, working infrastructure code signals remote readiness faster than a bullet point on a resume.
Prove async communication in your application
Remote backend infrastructure teams run on written communication. Write your cover note the way you'd write a technical incident summary: clear, structured, and free of ambiguity. Employers hiring remotely screen for this before the first call.
Target remote-first engineering organizations
Companies built around distributed teams hire backend infrastructure engineers differently than companies that added remote as an afterthought. Filter for remote-first firms where the tooling, on-call rotation, and incident response are designed for fully distributed engineers from the start.
Remote Backend Infrastructure Engineer Jobs: Frequently Asked Questions
How do I get a remote backend infrastructure engineer job?
Target remote-first companies and distributed engineering teams, where backend infrastructure roles are built around async collaboration from day one. Remote employers screen for self-direction, clear written communication, and hands-on fluency with tools like Terraform, Kubernetes, CI/CD pipelines, and cloud platforms. Showing observable output, a public infrastructure project, or contributions to open-source repos gives you a concrete edge over candidates with equivalent experience but no remote signal.
Which companies hire remote backend infrastructure engineers?
Companies hiring remote backend infrastructure engineers right now include Affirm, BNY, and Rechat, based on current remote listings on Migrate Mate as of September 2026. Remote-first technology firms, cloud-native SaaS companies, and distributed fintech and developer-tools teams are the most consistent sources of these openings.
Can you get a remote backend infrastructure engineer job with no experience?
Yes, but remote entry-level backend infrastructure roles are harder to land because employers expect you to troubleshoot and ship independently without in-person support. Small remote-first startups and early-stage cloud teams are more open to junior candidates than large enterprises. A documented homelab setup, a public infrastructure project on GitHub, or demonstrated fluency with a major cloud provider opens doors that a resume alone won't.
Do you need a degree for remote backend infrastructure engineer jobs?
Not always. Remote employers hiring backend infrastructure engineers weight practical skills, certifications like AWS or GCP, and demonstrated ability to manage production systems far more heavily than a diploma. A portfolio showing real infrastructure work, solid knowledge of networking and reliability principles, and cloud platform certifications often matter more than whether you finished a four-year program.
Which industries hire the most remote backend infrastructure engineers?
The sectors hiring the most remote backend infrastructure engineers are Banking & Financial Services, based on current remote listings on Migrate Mate as of September 2026. These industries rely on distributed engineering teams where backend infrastructure work is inherently location-independent, making remote hiring a natural fit.
See All 8 Remote Backend Infrastructure Engineer Jobs
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