Job Description

Job title: R&D Site Reliability Engineer - Data Platform

Location: Hyderabad

Position Overview:

We are seeking an exceptional Senior Site Reliability Engineer to drive reliability excellence within Sanofi's R&D Data Platform team. This role serves as a critical bridge between Digital Technology and R&D Data Product teams, ensuring the reliability, scalability, and efficiency of data platforms that power scientific innovation and drug discovery.

Strategic Importance:

This role directly enables Sanofi's data-driven drug discovery mission by establishing the reliability foundation for R&D data platforms. You'll accelerate scientific innovation by optimizing data platform reliability, reducing data pipeline latency, and ensuring cost-effective cloud operations.

Role Description:

1. Data Platform Reliability & Operations

Design and implement SLOs for data pipelines, data lakes, and analytics platforms Establish reliability metrics for data freshness, quality, and availability Implement error budget policies that balance data platform stability with research agility Monitor and optimize performance of data processing workloads

2. Cloud Infrastructure & FinOps

Lead AWS infrastructure automation and optimization Implement FinOps practices for R&D cloud spend management Design cost-effective architectures for data workloads Optimize resource utilization for research computing environments

3. Integration Platform Reliability

Ensure reliability of data integration platforms (Amazon S3, PostGreSQL, DynamoDB and SnowFlake) Monitor and optimize ETL/ELT pipeline performance Implement automated recovery procedures for integration failures Design scalable integration architectures

4. Cloud Observability & Monitoring

Implement comprehensive observability using Datadog, Prometheus, and Grafana Design monitoring strategies for data workloads and pipelines Create dashboards for data platform KPIs and SLOs Enable end-to-end visibility of data flows

5. DevOps Automation

Implement Infrastructure as Code using Terraform for cloud provisioning Establish GitHub Actions to implement code pipelines Automate deployment of data platform components Create self-service capabilities for research teams

6. Data Quality & Pipeline Reliability

Implement data quality monitoring and alerting Design automated data validation checks Establish data pipeline reliability metrics Create recovery procedures for data pipeline failures

Key Performance Indicators:

Platform Reliability (40%)

Data pipeline SLO compliance rate: 99.5%+ Data freshness SLA achievement Integration platform uptime Mean time to recovery for data incidents

Engineering Efficiency (30%)

Automation coverage for cloud provisioning Self-service capability adoption Infrastructure as Code implementation Reduction in manual operations

Cost Optimization (20%)

FinOps savings achieved Resource utilization optimization Cloud cost reduction Workload efficiency improvements

Stakeholder Success (10%)

Research team satisfaction scores Data platform user feedback Cross-team collaboration effectiveness Knowledge sharing impact

Required Experience:

Must Have:

8+ years of experience in Site Reliability Engineering or similar roles Expert-level AWS cloud infrastructure experience Strong background in data platforms (Snowflake, Amazon S3, Amazon RDBMS) Experience with observability platforms (Datadog) Proficiency in Infrastructure as Code (Terraform) and GitHub Actions for CI/CD Understanding of data integration platforms and ETL/ELT processes

Preferred:

Experience supporting scientific or research computing environments Knowledge of FinOps practices and cloud cost optimization Familiarity with pharmaceutical R&D processes Experience with streaming platforms (Kafka, Kinesis) Background in data quality and governance

Cultural Attributes:

Passion for enabling scientific innovation through technology Strong collaboration skills with research teams Balance between reliability and research agility Data-driven decision making Continuous improvement mindset Ability to translate technical concepts for research audiences

Technologies:

Cloud Platforms:AWS (primary), S3, Glue

Data Platforms:Snowflake, Databricks, PostGreSQL, DynamoDB

Integration:Informatica, Amazon API Gateway

Observability:Datadog

Automation:Terraform, GitHub Actions

Containers:EKS, Kubernetes

Streaming:Kafka, Kinesis

Orchestration:Airflow, Step Functions

Success Timeline

First 30 Days

Understand R&D data platform architecture and dependencies Assess current reliability practices and monitoring coverage Identify immediate optimization opportunities Build relationships with R&D and Digital Technology teams

60-90 Days

Implement initial observability improvements Establish baseline SLOs for critical data pipelines Begin FinOps analysis and optimization Create automation roadmap

90-180 Days

Deploy comprehensive monitoring solution Implement key automation workflows Establish FinOps practices Deliver first wave of self-service capabilities

6+ Months

Lead strategic reliability initiatives Drive continuous platform optimization Establish best practices and standards Enable accelerated research capabilities through reliable data platforms

Why choose us?

Bring the miracles of science to life alongside a supportive, future-focused team. Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally. Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks' gender-neutral parental leave. Opportunity to work in an international environment, collaborating with diverse business teams and vendors, working in a dynamic team, and fully empowered to propose and implement innovative ideas.

Pursue

Progress.

Discover

Extraordinary.


Progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let's pursue progress. And let's discover extraordinary together.


At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.



Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!


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