AI/MLOps SRE Lead Engineer

Regeneron Pharmaceuticals, Inc.; Hyderabad; Hybrid; INR 1,800,000 - 2,400,000; Full time

Benefits offered by this job

Annual bonus

Equity awards

Retirement benefits

401(k) match

Health & wellness programs

Fitness centers

Insurance benefits

Paid time off

Family support

Job summary

Regeneron Pharmaceuticals, Inc. in Hyderabad (Hybrid) seeks a senior SRE/Platform Engineer to drive reliability and scale across multi-cloud environments. You will design IaC, CI/CD, and observability platforms, mentor engineers, and collaborate with Data Science and AI teams to deliver production-ready ML platforms.

This role emphasizes governance, scalability, and operational efficiency. The ideal candidate has 6–8 years of SRE/Platform experience, strong cloud and ML tooling skills, and a

Qualifications

• Bachelor's degree in Computer Science, IT, Engineering, Data Science, or AI; Master’s preferred.
• 6–8 years of experience in Site Reliability/Platform Engineering in enterprise-scale environments.
• Hands-on experience across two or more cloud platforms (AWS, GCP, Azure).
• Deep expertise with ML platforms: Databricks, SageMaker, Dataiku, Vertex AI.
• Experience implementing end-to-end ML workflows: training, deployment, monitoring.
• Proficiency with Terraform, Pulumi, AWS CDK, and CI/CD automation.
• Strong Python/Go/Bash scripting.
• Experience building observability platforms: Prometheus, Grafana, Datadog, OpenTelemetry.
• Experience with Kubernetes (EKS/GKE/AKS).
• Familiarity with MLOps tools Kubeflow, Feast, LangSmith, RAGAS.

Responsibilities

• Drive service reliability, availability, and performance across multi-cloud environments.
• Design, build, and scale enterprise ML platform infrastructure.
• Develop AI-powered observability solutions with anomaly detection and predictive analytics.
• Lead the implementation and monitoring of LLMs, SLMs, RAG pipelines, and AI Agents.
• Design Infrastructure as Code, CI/CD pipelines, and self-healing systems.
• Architect enterprise ChatOps integrations with AI/ML operations.
• Collaborate with Data Science, AI Engineering, and Platform teams to deliver secure, scalable AI/ML platforms.
• Evaluate emerging AI-native technologies to improve platform reliability.
• Mentor engineers and influence SRE/MLOps strategy.

Skills

SRE practices

Platform engineering

Kubernetes

Terraform

CI/CD pipelines

Python

Cloud platforms

Observability

Education

Bachelor's degree in CS/IT/Engineering

Master's degree preferred

Tools

Databricks

Amazon SageMaker AI

Dataiku

Vertex AI

Kubeflow

Job description

Build our future together

Regeneron is founded on the belief that the right idea, combined with the right team, can lead to significant transformations. Our growing global network is dedicated to inventing, developing, and commercializing medicines that change lives for those with serious diseases.

When & Where

Hyderabad (Hybrid)

Discover your role

• Drive service reliability, availability, and performance across multi-cloud environments by establishing SLOs, SLIs, error budgets, and reliability standard methodologies.
• Design, build, and scale enterprise ML platform infrastructure using technologies such as Dataiku, Amazon SageMaker AI, Databricks, and Google Vertex AI.
• Develop AI-powered observability solutions using anomaly detection, predictive analytics, and automated remediation to proactively identify and resolve operational issues.
• Lead the implementation, evaluation, and monitoring of LLMs, SLMs, RAG pipelines, and AI Agent platforms, ensuring performance, governance, scalability, and operational efficiency.
• Design and implement Infrastructure as Code (IaC), CI/CD pipelines, self-healing systems, and automation capabilities that improve engineering productivity and platform resilience.
• Architect enterprise ChatOps solutions integrating AI/ML operations, observability platforms, operational events, and automated remediation workflows.
• Partner with Data Science, AI Engineering, and Platform teams to deliver secure, scalable, and production-ready AI/ML platforms and services.
• Evaluate emerging AI-native operational technologies and AI-assisted engineering solutions to improve platform reliability and operational excellence.
• Conduct technical debt assessments, identify architectural risks, and provide strategic recommendations to modernize enterprise platforms.
• Serve as a technical leader and trusted advisor, mentoring engineers and influencing SRE, MLOps, cloud platform, and AI operations strategy across the organization.

This role requires

• Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, Artificial Intelligence, or a related field; Master's degree preferred.
• 6-8 years of experience in Site Reliability Engineering, Platform Engineering, DevOps, or related technology subject areas within enterprise-scale environments.
• Strong hands-on experience working across two or more cloud platforms, including AWS, GCP, and Azure.
• Deep expertise with ML platform technologies such as Databricks, Amazon SageMaker AI, Dataiku, and Google Vertex AI.
• Proven experience implementing end-to-end ML workflows, including model training, deployment, experiment tracking, monitoring, and pipeline orchestration.
• Hands-on experience applying ML techniques such as anomaly detection, predictive analytics, time-series modeling, and operational intelligence within enterprise platforms.
• Advanced proficiency with Infrastructure as Code tools, including Terraform, Pulumi, AWS CDK, and modern CI/CD automation practices.
• Strong programming and scripting capabilities in Python, Go, Bash, or similar languages.
• Experience building enterprise observability platforms using Prometheus, Grafana, Datadog, OpenTelemetry, distributed tracing, metrics, and logging solutions.
• Proven expertise designing and implementing enterprise ChatOps architectures, operational workflows, and AI-enabled automation solutions.
• Strong ability to assess technical debt, influence technical strategy, and drive platform modernization initiatives.
• Experience using AI tools, LLM-powered assistants, and AI Agents to enhance engineering productivity and platform operations.
• Experience with Kubernetes and container orchestration technologies such as EKS, GKE, or AKS preferred.
• Familiarity with MLOps and LLM evaluation technologies including Kubeflow, Feast, LangSmith, RAGAS, Evidently AI, MLflow, and Weights & Biases preferred.
• Knowledge of cloud cost optimization, FinOps, policy-as-code, compliance automation, and multi-cloud governance practices preferred.

Benefits

• annual bonuses or other incentive plans
• equity awards
• pension or retirement benefits
• 401(k) company match
• health and wellness programs
• fitness centers
• insurance benefits (e.g. medical, dental, vision, life and disability)
• paid time off
• family support benefits

Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, sexual orientation, gender identity or expression, gender reassignment, marital or civil partnership status, civil status, pregnancy or parental status, age, disability, nationality, citizenship status, ethnic or national origin, membership of the Traveler community, familial status, genetic information, military or veteran status, or any other characteristic protected under applicable law. Where required, we will provide reasonable accommodation to applicants with known disabilities or chronic illnesses during the recruitment process, unless such accommodation would impose undue hardship.

Where necessary, we disclose salary ranges for roles in all countries in which we operate. The final offer will be determined within the relevant range based on the country of employment, specific role level, and your skills and experience. In some countries, collective bargaining agreements (CBAs) may apply and influence certain elements of pay or benefits. Regeneron offers a competitive and comprehensive total rewards package which may include, depending on country and role: annual bonuses or other incentive plans, equity awards, pension or retirement benefits, 401(k) company match, health and wellness programs, fitness centers, insurance benefits (e.g. medical, dental, vision, life and disability), paid time off, and family support benefits. For additional information about Regeneron benefits in the U.S., please visit https://careers.regeneron.com/en/working-at-regeneron/total-rewards/ For other locations, additional information will be provided during the recruitment process.

Please be advised that at Regeneron, we believe we do our best work when we are together. For that reason, many roles are required to be performed on-site.

As part of the recruitment process, certain background checks may be conducted in accordance with the laws of the country where the position is based. The purpose of such checks is to verify certain information prior to the commencement of employment such as identity, right to work and educational qualifications.

For jobs in Canada: this posting is for an existing position.