Senior Backend Engineer: Machine Learning Infrastructure
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 39d ago
The date the source published, not the day we noticed it (2026-08-06). Last seen at its source 2h ago.
Is it remote?
Remote - EMEA
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
EMEA
The description states no restriction of its own. This is the source's own tag.
Pay
$80k–120k/yr
Read out of the job description by us, not from a structured field. Shown in the posting's own currency and period; we never convert.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
ashby employer's own board first seen 19d ago · last seen 2h ago
The listing
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.