{"id":3903251,"url":"https://alion.io/job/proofpoint-senior-mlops-engineer","title":"Senior MLOps Engineer","company":{"id":5122,"name":"Proofpoint","domain":"proofpoint.com","url":"https://alion.io/company/proofpoint","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":83,"open_postings":21,"ghost_share":0,"stale_share":0.667,"repost_share":0.048,"time_to_fill_p50_days":38,"computed_at":"2026-11-06T05:58:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Córdoba, Argentina"],"countries":["AR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"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":"CI/CD","optional":false},{"name":"FedRAMP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"PyTorch","optional":false},{"name":"Snyk","optional":false},{"name":"TensorFlow","optional":false},{"name":"AI Agents","optional":true},{"name":"Amazon EKS","optional":true},{"name":"Amazon S3","optional":true},{"name":"Amazon SageMaker","optional":true},{"name":"Azure AKS","optional":true},{"name":"Datadog","optional":true},{"name":"Grafana","optional":true},{"name":"Helm","optional":true},{"name":"IAM","optional":true},{"name":"Jenkins","optional":true},{"name":"Prometheus","optional":true},{"name":"Python","optional":true},{"name":"SOC 2","optional":true},{"name":"SQL","optional":true},{"name":"Terraform","optional":true},{"name":"TorchServe","optional":true},{"name":"Triton","optional":true}],"status":"live","first_seen_at":"2026-11-06T00:00:00Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-07T01:37:27Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About Us:\nProofpoint is a global leader in human- and agent-centric cybersecurity. We protect how people, data, and AI agents connect across email, cloud, and collaboration tools. Over 80 of the Fortune 100, 10,000 large enterprises, and millions of smaller organizations trust Proofpoint to stop threats, prevent data loss, and build resilience across their people and AI workflows. Our mission is simple: safeguard the digital world and empower people to work securely and confidently. Join us in our pursuit to defend data and protect people.\nHow We Work:\nAt Proofpoint you’ll be part of a global team that breaks barriers to redefine cybersecurity guided by our BRAVE core values:\nBold in how we dream and innovate\nResponsive to feedback, challenges and opportunities\nAccountable for results and best in class outcomes\nVisionary in future focused problem-solving\nExceptional in execution and impact\nThe Role\nWe are seeking a Senior MLOps Engineer to join our Machine Learning and Data Science Team at Proofpoint. This role is key to building and maintaining the infrastructure that brings machine learning models from development to production. Your contributions will directly impact how fast and safely we ship ML models to production, reinforcing Proofpoint's mission to protect organizations from security risks.\nWhat you'll do:\nDesign, build, and maintain CI/CD pipelines for ML model training and deployment (Harness, GitHub Actions, or similar).\nManage container images, base image governance, and vulnerability remediation for ML inference services.\nDeploy and operate ML inference endpoints on Kubernetes across AWS and Azure environments to ensure our inference services are secure, scalable and reliable.\nLead FedRAMP compliance efforts for ML infrastructure: security controls, audit preparation, vulnerability scanning (Snyk, CIS), and remediation.\nManage cloud resources (GPU nodes, compute clusters, IRSA configurations) to support model serving at scale.\nCollaborate with data scientists and ML engineers to streamline the path from experiment to production.\nMonitor infrastructure health, model serving performance, and cost efficiency across clusters.\nMaintain documentation for deployment processes, security reviews, and infrastructure architecture.\nStay current with MLOps tooling, cloud-native technologies, and security best practices.\nWhat we're looking for:\n 5+ years of machine learning experience with frameworks like (PyTorch, TensorFlow); model serving is a plus.\nStrong Proficiency in Python, with experience in infrastructure-as-code tools (Terraform, Helm, or similar).\nStrong experience with Kubernetes (deployment, scaling, troubleshooting) in production environments. \nHands-on experience with CI/CD platforms (Harness, Jenkins, GitHub Actions).\nFamiliarity with container security: image scanning, vulnerability management, base image pipelines.\nExperience with AWS services (S3, SageMaker, EKS, ECR, IAM/IRSA) and Azure (AKS, Azure ML).\nKnowledge of security compliance frameworks (FedRAMP Moderate, SOC2, or similar).\nExperience with ML model serving frameworks (TorchServe, Triton, or custom inference endpoints).\nStrong SQL skills for querying operational and telemetry data.\nFamiliarity with observability tools (Prometheus, Grafana, Datadog) for monitoring ML systems.\nWhy Proofpoint?\nAt Proofpoint, we believe that an exceptional career experience includes a comprehensive compensation and benefits package. Here are just a few reasons you’ll love working with us:\nCompetitive compensation\n\nComprehensive benefits\n\nCareer success on your terms\n\nFlexible work environment\n\nAnnual wellness and community outreach days\n\nAlways on recognition for your contributions\n\nGlobal collaboration and networking opportunities\n\nOur Culture:\nOur culture is rooted in values that inspire belonging, empower purpose and drive success-every day, for everyone.\nWe encourage applications from individuals of all backgrounds, experiences, and perspectives. If you need accommodation during the application or interview process, please reach out to .\nHow to Apply\nInterested? 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