{"id":2689339,"url":"https://alion.io/job/netlink-software-senior-devops-mlops-engineer","title":"Senior DevOps & MLOps Engineer","company":{"id":3812512,"name":"Netlink Software","domain":"netlink.com","url":"https://alion.io/company/netlink-software-private-limited","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","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":["Pune, India","Gurgaon, India","Noida, India","Bengaluru, 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CKAD / CKS (at least one)\n\nRole : DevOps\n\nExp : 2-4 years\n\nPreferred Location : Pune\n\nOther Location - Gurgaon/Noida/BLR\n\nJD :\n\nWe are looking for a Senior DevOps & MLOps Engineer to design, automate, and manage cloud-native platforms supporting modern AI/ML applications. \n\nThe role requires strong expertise in AWS, Kubernetes, CI/CD, GitOps, observability, and deployment of AI/agentic workloads.\n\nKey Responsibilities :\n\n- Manage and operate AWS EKS/Kubernetes platforms.\n\n- Build and maintain CI/CD pipelines using GitHub Actions, TeamCity, and ArgoCD.\n\n- Deploy and support AI/ML/agentic applications on AWS.\n\n- Implement GitOps and infrastructure automation practices.\n\n- Manage AWS services including IAM, ECR, CloudWatch, S3, and networking.\n\n- Build observability solutions using OpenTelemetry, CloudWatch, Grafana, Loki, and Splunk.\n\n- Implement secure, scalable, and compliant cloud architectures.\n\n- Support AI platforms involving LLM gateways, model APIs, Bedrock, SageMaker, and distributed workloads.\n\n- Collaborate with development, security, platform, and data teams.\n\n- Troubleshoot infrastructure, deployment, performance, and security issues.\n\n- Mentor junior engineers and contribute to platform best practices.\n\nRequired Skills and Qualifications :\n\n- 4+ years of experience in DevOps, Cloud Engineering, or Platform Engineering.\n\n- Strong hands-on experience with Kubernetes (EKS preferred).\n\n- Experience with ArgoCD and GitOps workflows.\n\n- Expertise in AWS services and IAM.\n\n- CI/CD experience using GitHub Actions, Azure DevOps, or TeamCity.\n\n- Experience with Terraform or other infrastructure as code.\n\n- Strong monitoring and observability experience (CloudWatch, Grafana, Loki, Splunk, OpenTelemetry).\n\n- Good understanding of cloud security and compliance.\n\n- MLOps/AIOps experience with at least one of: SageMaker, MLflow, Kubeflow, Airflow, Bedrock, AgentCore.\n\nPreferred Skills :\n\n- Experience with Celery, LLM gateways, model serving, and AI workload deployment.\n\n- Python or Bash scripting.\n\n- Knowledge of GxP, HIPAA, or EU AI Act requirements.\n\nCertifications :\n\nMandatory :\n\n- CKA / CKAD / CKS (at least one)\n\n- HashiCorp Terraform Associate\n\nPreferred :\n\n- AWS Solutions Architect or AWS DevOps Engineer\n\nWhat You'll Work On :\n\n- Client-facing, large-scale AWS platforms\n\n- AI/GenAI and agentic application deployments\n\n- Kubernetes and GitOps ecosystems\n\n- Enterprise DevSecOps and MLOps platforms\n\n- Regulated pharma and life sciences solutions\nSkills\nDevOps, MLOps, AWS, Kubernetes, LLMOps, Elastic Kubernetes Service, CI/CD, IT Infrastructure Automation, Monitoring Tools, IAC Terraform, Apache 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