{"id":2852857,"url":"https://alion.io/job/q-tech-mlops-engineer","title":"MLOps engineer","company":{"id":4449260,"name":"Q-Tech","domain":"q-techrec.com","url":"https://alion.io/company/q-tech-2","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Teamtailor","truth_index":{"grade":"B","score":75,"open_postings":28,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-24T06:02:35Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon SageMaker","optional":false},{"name":"Ansible","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Confluence","optional":false},{"name":"Docker","optional":false},{"name":"Docker Compose","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitOps","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false},{"name":"Apache Kafka","optional":true},{"name":"ArgoCD","optional":true},{"name":"ClickHouse","optional":true}],"status":"live","first_seen_at":"2026-08-13T11:22:10Z","employer_posted_date":"2026-08-13","last_verified_at":"2026-10-24T08:13:41Z","board_verified":true,"closed_at":null,"days_open":71,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":71},"description":"Job Description We are looking for a MLOps w/ DevOps Engineer with strong experience in cloud automation and deployment pipelines, primarily on AWS. You will play a key role in designing, implementing, and maintaining scalable, efficient infrastructure solutions to data pipelines, inference, observability. This role is ideal for someone who enjoys solving complex problems, improving operational processes, and contributing to reliable, scalable systems. It requires knowledge to design a system from scratch in an emerging data solution.\nResponsibilities\nDesign and maintain SageMaker workloads for building, testing, and deploying models in cloud environments.\nAutomate infrastructure provisioning using gitops and infrastructure as code (Terraform, Ansible or equivalent).\nMonitor and maintain production, pre-production environments, ensuring high availability and performance.\nFollow up on production alerts and help resolve them on time.\nDocument configurations, infrastructure components, and troubleshooting steps using Confluence.\nSupport cloud infrastructure alongside the DevOps team.\nSupport the infrastructure needs of globally distributed Data teams across time zones.\nParticipate in daily standups with the DevOps team, helping organize tasks and priorities.\nQualifications:\nBachelor’s degree in Computer Science, Mathematics, Information Technology, or similar (or equivalent experience).\n4-6 years of experience in DevOps, system administration, or related fields.\n2 years of experience in MLOps or related fields.\nStrong hands-on experience in Linux system administration.\nSolid understanding of Kubernetes and Docker and experience using Docker Compose.\nExperience with AWS and hybrid (cloud + on-prem) infrastructures.\nFamiliarity with CI/CD pipelines (e.g., GitHub Actions).\nStrong scripting skills with Python and/or Shell.\nExperience using IaC tools.\nGood communication skills in English (spoken and written), including reporting and documentation to stakeholders.\nNice to have\nExperience implementing GitOps workflows (e.g., using ArgoCD).\nCertifications in AWS or Kubernetes.\nKnowledge of Kafka\nKnowledge of ClickHouse.\nKnowledge of PostreSQL\nKnowledge of MlOps\nFamiliarity with virtualization technologies and networking.\nWhat we offer\nOpportunities to work on impactful infrastructure projects on cloud environments.\nA collaborative team focused on continuous 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