{"id":44335,"url":"https://alion.io/job/constructor-senior-backend-engineer-machine-learning-infrastructure","title":"Senior Backend Engineer: Machine Learning Infrastructure","company":{"id":716274,"name":"Constructor","domain":"constructor.com","url":"https://alion.io/company/constructor-3","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":94,"open_postings":39,"ghost_share":0,"stale_share":0,"repost_share":0.077,"time_to_fill_p50_days":72,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_regions","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["DE","FR","AE","GB","AT","BE","BA","BG","HR","CY","CZ","DK","EG","FI","HU","IE","IL","IT","KE","NL","NG","NO","PL","RO","SA","RS","ZA","ES","SE","CH","TR","UA","AL","DZ","AD","AO","BH","BJ","BW","BF"],"hiring_countries_total":115,"salary":{"min":80000,"max":120000,"currency":"USD","period":"year","gross":null,"usd_annual":120000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"C++","optional":true},{"name":"Go","optional":true},{"name":"Milvus","optional":true},{"name":"OpenSearch","optional":true},{"name":"pgvector","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Qdrant","optional":true},{"name":"Rust","optional":true},{"name":"Terraform","optional":true},{"name":"Weaviate","optional":true}],"status":"live","first_seen_at":"2026-08-06T12:37:16Z","employer_posted_date":"2026-08-06","last_verified_at":"2026-10-17T05:02:06Z","board_verified":true,"closed_at":null,"days_open":71,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":71},"description":"About Us\nLaunched 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.\nAbout The Role\nThe 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.\nWe 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.\nIn the near and mid-term, our focus areas include:\nMaking ML workloads easy to run, scale, and operate for every team\n\nProviding self-service, configurable infrastructure components to ML and product teams\n\nOwning and evolving core ML services and related pipelines with a high bar for reliability and performance\n\nChallenges you will tackle\nDesign, build, and operate high-load distributed backend services that power the company's ML infrastructure\n\nTake end-to-end ownership of core ML services and related data pipelines: from design and implementation to deployment, observability, and continuous improvement\n\nPartner with ML and product teams to understand their needs and turn them into reliable, reusable platform capabilities\n\nMake and defend technical decisions: evaluate trade-offs, design first, and own the outcome\n\nBe responsible for what you and your team do\n\nRequirements\n5+ years of professional experience in backend or platform engineering\n\nExtensive Python knowledge (our primary language)\n\nHands-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\n\nExperience designing and building distributed, high-load services and APIs\n\nStrong knowledge of data structures, algorithms, and their trade-offs\n\nDesign-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\n\nOwnership and proactivity: you can't close your eyes to problems, but are ready to solve them and take responsibility for outcomes\n\nYou are friendly and willing to help your teammates & others\n\nNice to have:\nExperience with Rust (or C/C++/Go) - a strong plus\n\nExperience developing or contributing to ML platforms or ML infrastructure - a strong plus\n\nExperience setting up and operating any vector database (Qdrant, Milvus, Weaviate, OpenSearch, pgvector, etc.) - a strong plus\n\nExperience with model serving / inference infrastructure, including LLMs\n\nExperience with Infrastructure as Code (Terraform or similar)\n\nBenefits\nUnlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year\n\nFully remote team - choose where you live\n\nWork from home stipend! We want you to have the resources you need to set up your home office\n\nApple laptops provided for new employees\n\nTraining and development budget for every employee, refreshed each year\n\nMaternity & Paternity leave for qualified employees\n\nWork with smart people who will help you grow and make a meaningful impact\n\nBase salary: $80k-$120k USD, depending on knowledge, skills, experience, and interview results\n\nStock options - offered in addition to the base salary\n\nRegular team offsites to connect and collaborate\n\nDiversity, Equity, and Inclusion at Constructor\nAt 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.\nStudies 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.\nHow 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. 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