{"id":1384517,"url":"https://alion.io/job/medi-assist-senior-platform-engineer","title":"Senior Platform Engineer","company":{"id":180718,"name":"Medi Assist","domain":"mediassist.in","url":"https://alion.io/company/medi-assist","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":17500,"max_usd":40000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":42},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Apache Kafka","optional":false},{"name":"ArgoCD","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"CI/CD","optional":false},{"name":"Cosign","optional":false},{"name":"Datadog","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Evidently AI","optional":false},{"name":"External Secrets","optional":false},{"name":"FluxCD","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitOps","optional":false},{"name":"Google GKE","optional":false},{"name":"Grafana","optional":false},{"name":"HashiCorp Vault","optional":false},{"name":"Jenkins","optional":false},{"name":"KServe","optional":false},{"name":"Kubeflow","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"OpenSearch","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"pgvector","optional":false},{"name":"Pinecone","optional":false},{"name":"Prometheus","optional":false},{"name":"pySpark","optional":false},{"name":"RAG","optional":false},{"name":"Terraform","optional":false},{"name":"Trivy","optional":false},{"name":"vLLM","optional":false},{"name":"PostgreSQL","optional":true},{"name":"Python","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-28T09:52:09Z","employer_posted_date":null,"last_verified_at":"2026-09-28T09:52:09Z","board_verified":false,"closed_at":null,"days_open":5,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":5},"description":"We are looking for a Senior Platform Engineer (AI/ML) to architect, build, and maintain our next-generation cloud infrastructure and MLOps platforms. In this role, you will bridge the gap between core infrastructure engineering and AI/ML data workflowsenabling data science teams to seamlessly train, serve, and monitor machine learning and LLM models in production at enterprise scale.\nResponsibilities:\nInternal Developer Platform (IDP): Design, provision, and maintain secure, multi-tenant Kubernetes clusters (EKS/GKE) using Infrastructure as Code (Terraform).\nAI/ML Model Serving and Lifecycle: Build and operate production model serving pipelines using vLLM, KServe, or AWS Bedrock; manage model registries and experiment tracking using MLflow or Kubeflow.\nVector and GenAI Infrastructure: Deploy and optimise Vector Databases (pgvector, Pinecone, OpenSearch) to support high-throughput RAG (Retrieval-Augmented Generation) workflows.\nData Pipeline Orchestration: Orchestrate scalable ETL/ELT pipelines and continuous model retraining workflows using Apache Airflow, PySpark, and event streams (Kafka/PubSub).\nGitOps and Automation: Drive zero-downtime microservice deployments across environments using GitOps tools (ArgoCD, FluxCD) and automated CI/CD pipelines (GitHub Actions, Jenkins).\nObservability and Drift Monitoring: Implement unified monitoring and alerting across platform infrastructure and AI models using Prometheus, Grafana, Datadog, and ML drift tools (Evidently AI).\nThe core requirements for the job include the following:\nMust-Have Technical Expertise (The 4 Pillars):\nCloud and Kubernetes Foundation: Hands-on experience with AWS/GCP, Kubernetes (EKS or GKE), Docker, and modular Terraform infrastructure.\nAI / MLOps / LLM Platforms: Proven experience deploying ML models to production using KServe, vLLM, or AWS Bedrock; experience with Vector Databases (Pinecone/pgvector) and MLflow/Kubeflow.\nData Pipelines: Hands-on expertise with Apache Airflow DAGs, data movement pipelines, and event streaming (Kafka or GCP Pub/Sub).\nCI/CD and Observability: Strong proficiency in ArgoCD (GitOps), GitHub Actions/Jenkins, and observability tools (Prometheus, Grafana, Datadog, or OpenTelemetry).\nPreferred Background:\nExperience in regulated, high-security data environments (HealthTech, InsurTech, FinTech, or high-throughput B2B SaaS).\nHands-on experience with secrets management (HashiCorp Vault, External Secrets Operator) and container security scanning tools (Trivy, Cosign).\nEducation and Certifications:\nB. Tech / M. Tech / BCA / MCA in Computer Science, Information Technology, or a related technical field.\nAWS Certified Solutions Architect or CKA (Certified Kubernetes Administrator) is a plus.","description_format":"text","description_chars":2724,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Health Insurance & Benefits"],"lifecycle":[{"event":"open","at":"2026-09-28T09:52:09Z"}],"visa":[],"liveness":{"score":82,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.819,"p_room":1,"age_days":4,"expected_fill_days":25,"reasons":["seen:4","win:early"],"computed_at":"2026-10-03T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/medi-assist-senior-platform-engineer","json_url":"https://alion.io/job/medi-assist-senior-platform-engineer.json","meta":{"generated_at":"2026-10-04T01:12:47Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1582,"day_limit":5000,"remaining_today":3418,"minute_limit":60,"resets_at":"2026-10-05T00:00:00Z"}}}