{"id":3898553,"url":"https://alion.io/job/modmed-staff-cloud-engineer-ml-ops","title":"Staff Cloud Engineer, ML Ops","company":{"id":1865761,"name":"ModMed","domain":"modmed.com","url":"https://alion.io/company/modmed","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":81,"open_postings":9,"ghost_share":0,"stale_share":0.778,"repost_share":0,"time_to_fill_p50_days":35,"computed_at":"2026-11-07T05:47:08Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Boca Raton, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AIOps","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Datadog","optional":false},{"name":"Feature Store","optional":false},{"name":"GitOps","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Spark","optional":false},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-11-06T23:52:14Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-07T05:08:46Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Join the Team Modernizing Medicine\nAt ModMed, we’re not just building software-we’re reimagining the healthcare experience. Founded in 2010 by a practicing physician and a successful tech entrepreneur, we took a radically different approach: we hired doctors and taught them how to code. This \"for doctors, by doctors\" philosophy has allowed us to create an AI-enabled, specialty-specific cloud platform that places patients at the center of care.\nA Culture of Excellence\nWhen you join ModMed, you’re joining an award-winning team recognized for innovation and employee satisfaction. From our global headquarters in Boca Raton Florida, and extensive employee base in Hyderabad India, we are a team of 4,500+ passionate problem-solvers on a mission to increase medical practice success and improve patient outcomes:\nConsistently ranked as a Top Place to Work\n\n2025 Globee Business Awards: Gold Globee for “Technology Team of the Year”\n\n2025 Black Book Awards: Ranked #1 EHR in 11 Specialties\n\nFlorida Venture Forum: Venture-Backed Company of the Year\n\nWe are growing fast, thinking big, and we are just getting started.\nReady to modernize medicine with us?\nJob Description Summary:\nAs a Staff MLOps Engineer at Modernizing Medicine, you’ll help bridge the gap between data science, machine learning engineering, and production systems. You’ll lead efforts to establish architecture and tooling that make it fast, reliable, and secure for our developers to build, deploy, and operate AI-enabled applications at scale. You will drive core architectural patterns for model training, deployment, and lifecycle management, empowering self-service capabilities across product and platform teams. Your work will directly shape the enterprise platform driving our next generation of AI-driven clinical and operational products.\nWhat You’ll Do\nArchitect and help build and operate a scalable developer enablement platform for deploying AI/ML models into high-throughput production applications, accelerating the end-to-end lifecycle of AI-enabled applications.\nDefine reusable patterns for model training, feature store integration, batch/real-time inference, and pipeline orchestration using Databricks, Airflow, and cloud-native services.\nEnsure ML infrastructure is built on standardized IaC to ensure repeatable, multi-environment deployments across AWS accounts.\nLead the evolution of serverless and containerized ML execution environments, migrating high-scale serverless pipelines (AWS Lambda) to Kubernetes (EKS) microservices where appropriate.\nDrive CI/CD and GitOps standards for automated model delivery, champion deployment strategies, and infrastructure-as-code automation.\nDesign comprehensive observability and monitoring capabilities using DataDog to track model drift, latency, error rates, and system health in production.\nImplement LLMOps and AIOps frameworks to manage, deploy, evaluate, and monitor Large Language Models (LLMs) and generative AI solutions, leveraging MLflow for tracking, experiment management, and model registry.\nPartner closely with Data Science, Product Development, and Security teams to ensure models and AI applications are secure, compliant, and cost-efficient.\nApply security best practices to protect sensitive data and ensure compliance.\nProvide technical leadership and mentorship across MLOps and engineering teams, codifying best practices in system architecture and operational excellence.\nWhat We’re Looking For\n8+ years of experience in DevOps, MLOps, Software Engineering, or Cloud Architecture with proven experience delivering and operating AI/ML systems at scale.\nDeep expertise in Python and software engineering principles for production-grade microservices, SDKs, and data pipelines.\nProven architectural experience with patterns across the full ML lifecycle: training, batch/real-time inference, model registration, and application integration.\nStrong proficiency with container orchestration (Kubernetes/EKS), serverless architectures (Lambda), and cloud infrastructure (AWS).\nHands-on experience with ML and LLM frameworks such as MLflow, SageMaker, PyTorch, or Spark; experience with Databricks is a plus.\nMastery of Infrastructure as Code (Terraform) and CI/CD/GitOps tooling.\nDemonstrated capability in establishing enterprise observability standards using DataDog or similar platforms.\nStrong leadership, communication, and cross-functional collaboration skills with a focus on developer enablement and mentoring.\nThis role is hybrid. On-call participation may be required to support production systems.\nIf you're excited about bringing machine learning to life through clean code, automation, and infrastructure excellence, we want to talk.\nModMed Benefits Highlight: At ModMed, we believe it’s important to offer a competitive benefits package designed to meet the diverse needs of our growing workforce. Eligible Modernizers can enroll in a wide range of benefits:\nUnited States\nComprehensive medical, dental, and vision benefits, including a company Health Savings Account contribution,\n401(k): ModMed provides a matching contribution each payday of 50% of your contribution deferred on up to 6% of your compensation. After one year of employment with ModMed, 100% of any matching contribution you receive is yours to keep.\nGenerous Paid Time Off and Paid Parental Leave programs,\nCompany paid Life and Disability benefits, Flexible Spending Account, and Employee Assistance Programs,\nCompany-sponsored Business Resource & Special Interest Groups that provide engaged and supportive communities within ModMed,\nProfessional development opportunities, including tuition reimbursement programs and unlimited access to LinkedIn Learning,\nGlobal presence and in-person collaboration opportunities; dog-friendly HQ (US), Hybrid office-based roles and remote availability for some roles,\nWeekly catered breakfast and lunch, treadmill workstations, Zen, and wellness rooms within our BRIC headquarters.\nPHISHING SCAM WARNING: ModMed is among several companies recently made aware of a phishing scam involving imposters posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote \"interviews,\" and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from ModMed without a formal interview process, and valid communications from our hiring team will come from our employees with a ModMed email address ().Please check senders’ email addresses carefully. Additionally, ModMed will not ask you to purchase equipment or supplies as part of your onboarding process. 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