{"id":1265930,"url":"https://alion.io/job/recruiseglobal-senior-aiops-platform-engineer","title":"Senior AIOps Platform Engineer","company":{"id":3801271,"name":"Recruiseglobal","domain":"recruiseglobal.com","url":"https://alion.io/company/recruiseglobal","size_band":null,"is_staffing_agency":true,"employer_type":"agency","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, 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environments.\n\n- Develop automation and platform tooling using Python and languages such as Node.js or Java.\n\n- Implement MLOps workflows covering model packaging, artifact management, deployment, inference operations, versioning, and rollback.\n\n- Operate enterprise AI/data platforms such as Databricks, MLflow, Airflow, or equivalent technologies.\n\n- Establish robust observability, logging, alerting, tracing, and performance monitoring for distributed applications and AI workloads.\n\n- Implement secure secrets management, access controls, auditability, and platform governance.\n\n- Work with development, data science, ML, security, and product teams to enable reliable deployment of applications and AI solutions.\n\n- Manage and troubleshoot complex production issues and drive root-cause analysis and preventive actions.\n\n- Work with Apigee X or similar enterprise API gateway platforms to support secure and scalable API management.\n\nRequired Qualifications : \n\n- 7+ years of experience in DevOps, Platform Engineering, Cloud Infrastructure, or Site Reliability Engineering.\n\n- Strong production operations and reliability ownership.\n\n- Hands-on experience with cloud platforms, microservices, CI/CD, containers, automation, and infrastructure architecture.\n\nStrong expertise in : \n\n- Docker\n\n- Kubernetes\n\n- Linux Administration\n\n- Git\n\n- System Administration\n\n- Strong programming experience in Python and at least one additional language such as Node.js or Java.\n\n- Hands-on experience with MLOps and ML deployment workflows.\n\n- Experience with Databricks, MLflow, Airflow, or similar enterprise AI/data platforms.\n\n- Strong understanding of observability, logging, alerting, monitoring, and distributed-system performance.\n\n- Experience with secrets management, access control, security, and audit requirements.\n\n- Working knowledge of Apigee X or equivalent API gateway technologies.\n\n- Strong troubleshooting, problem-solving, and communication skills.\n\nPreferred Candidate Profile : \n\n- Experience supporting AI/ML and data-intensive production environments.\n\n- Strong understanding of cloud-native and Kubernetes-based architectures.\n\n- Experience building internal developer platforms or reusable infrastructure capabilities.\n\n- Strong automation mindset with a focus on reducing manual operational effort.\n\n- Comfortable working in high-availability, enterprise-scale production environments.\n\nSkills\nAIOps, Artificial Intelligence, Cloud Infrastructure, CI/CD Pipeline, Docker, Kubernetes, Configuration Management, Distributed Systems, Python, 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