Responsibilities
- Drive service reliability, availability, and performance across multi-cloud environments by establishing SLOs, SLIs, error budgets, and reliability standards.
- Design, build, and scale enterprise ML platform infrastructure using Dataiku, Amazon SageMaker AI, Databricks, and Google Vertex AI.
- Develop AI-powered observability, anomaly detection, predictive analytics, and automated remediation capabilities.
- Implement, evaluate, and monitor LLMs, SLMs, RAG pipelines, and AI Agent platforms.
- Design and implement Infrastructure as Code, CI/CD pipelines, self-healing systems, and engineering automation.
- Architect enterprise ChatOps solutions integrating AI/ML operations, observability, operational events, and automated remediation workflows.
- Partner with Data Science, AI Engineering, and Platform teams to deliver secure, scalable, production-ready AI/ML platforms.
- Assess technical debt and architectural risks and recommend enterprise platform modernization strategies.
- Mentor engineers and influence SRE, MLOps, cloud platform, and AI operations strategy.
Requirements
- Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, Artificial Intelligence, or a related field is required; a Master's degree is preferred.
- 6–8 years of experience in Site Reliability Engineering, Platform Engineering, DevOps, or related technology areas in enterprise-scale environments.
- Hands-on experience with at least two cloud platforms, including AWS, GCP, and Azure.
- Deep experience with Databricks, Amazon SageMaker AI, Dataiku, and Google Vertex AI.
- Experience implementing end-to-end ML workflows covering training, deployment, experiment tracking, monitoring, and pipeline orchestration.
- Experience applying anomaly detection, predictive analytics, time-series modeling, and operational intelligence.
- Advanced proficiency with Terraform, Pulumi, AWS CDK, and CI/CD automation.
- Strong programming or scripting skills in Python, Go, Bash, or similar languages.
- Experience building observability platforms with Prometheus, Grafana, Datadog, OpenTelemetry, distributed tracing, metrics, and logging.
- Expertise designing enterprise ChatOps architectures, operational workflows, and AI-enabled automation.
- Experience with AI tools, LLM-powered assistants, and AI Agents for engineering productivity and platform operations.
- Experience with Kubernetes and container orchestration technologies such as EKS, GKE, or AKS is preferred.
- Familiarity with Kubeflow, Feast, LangSmith, RAGAS, Evidently AI, MLflow, and Weights & Biases is preferred.
- Knowledge of cloud cost optimization, FinOps, policy-as-code, compliance automation, and multi-cloud governance is preferred.
Benefits
- Hybrid work arrangement in Hyderabad; the posting notes that many roles may require on-site work.
- Competitive total rewards may include annual bonuses or incentive plans, equity awards, pension or retirement benefits, 401(k) matching, health and wellness programs, fitness centers, insurance, paid time off, and family support benefits, depending on country and role.
- Reasonable accommodation is available during recruitment for applicants with known disabilities or chronic illnesses where required.
Tech Stack
Categories
About Regeneron
At Regeneron we believe that when the right idea finds the right team, powerful change is possible. As we work across our expanding global network to invent, develop and commercialize life-transforming medicines for people with serious diseases, we’re establishing new ways to think about science, manufacturing and commercialization. And new ways to think about health. Connect with us so we can learn more about you, and you can learn more about our biopharmaceutical medicines. And join us, as we build a future we believe in. Please visit www.regeneron.com/social-media-terms for information on how to engage with us on social media. An important note about privacy: Regeneron is committed to your privacy and will not ask for sensitive personal information such as social security number, date of birth or bank account details via email or social media.