Senior Backend Engineer: Machine Learning Infrastructure
Salary$80k – $120k
LocationRemote - EMEA
Work moderemote
Typefull-time
SenioritySenior
Experience5+ yrs
DepartmentEngineering
EquityIncluded
Company size201–500 people
PostedAug 6, 2026 · 2mo ago
Verified live21h ago
At a glanceSummarised by Seekless from the posting.
5+ years of professional experience in backend or platform engineering
Extensive Python knowledge
Hands-on experience developing on a public cloud (AWS, GCP, or Azure) or with self-managed Kubernetes
Experience designing and building distributed, high-load services and APIs
Strong knowledge of data structures, algorithms, and their trade-offs
Design-driven engineering mindset: lead with system design and strong understanding of trade-offs
Ownership and proactivity: ready to solve problems and take responsibility for outcomes
Friendly and willing to help teammates
Experience with Rust (or C/C++/Go)
Experience developing or contributing to ML platforms or ML infrastructure
Experience setting up and operating any vector database (Qdrant, Milvus, Weaviate, OpenSearch, pgvector, etc.)
Experience with model serving / inference infrastructure, including LLMs
Experience with Infrastructure as Code (Terraform or similar)
Skills
Python
AWS
GCP
Azure
Kubernetes
Rust
C/C++
Go
Terraform
Qdrant
Milvus
Weaviate
OpenSearch
pgvector
LLMs
Benefits
Unlimited PTO
Remote stipend
Laptop
Training budget
Parental leave
Stock options
Team offsite
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
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Owning and evolving core ML services and related pipelines with a high bar for reliability and performance
Challenges you will tackle
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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
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🛋️ Work from home stipend! We want you to have the resources you need to set up your home office
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💻 Apple laptops provided for new employees
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🧑🎓 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
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💵 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.