Senior Data & Dev Ops Engineer (REMOTE)

Job Summary

At Charles River Laboratories, we’re transforming how we work by harnessing the power of AI, data, and digital innovation to accelerate the discovery and development of life-saving therapies. Our vision is to embed artificial intelligence and advanced analytics across every stage of our scientific and operational workflows—empowering our teams with smarter tools, seamless data, and actionable insights to deliver client-centric services and solutions that better serve our customers and, ultimately, improve patients’ lives.

If you're a Senior Data & DevOps Engineer who thrives at the intersection of cloud infrastructure, data engineering, and AI innovation, this is your opportunity to make a significant impact. In this role, you’ll serve as a trusted advisor and hands-on expert, partnering across business units and IT to architect and optimize our Azure-based enterprise data platform. You’ll mentor engineering teams, champion best practices, and drive automation and scalability through modern DevOps and data engineering tools. We’re looking for someone who brings deep expertise in the Microsoft Azure data ecosystem, a passion for building resilient, future-ready platforms, and a desire to shape the next generation of data and AI capabilities at Charles River. If you’re energized by solving complex challenges, influencing architectural decisions, and enabling transformative analytics, we’d love to connect with you.

Basic Qualifications:

• Strong and extensive hands on Experience with Azure cloud big data architecture
• Good understanding of Microsoft Azure security, privacy, and compliance.
• Implement best practices for Azure services authentication using service principals and managed identities.
• Familiarity with Azure resources service level agreements (SLA), and pricing for planning and cost management.
• Configure and manage Azure virtual network, define Inbound and outbound rules.
• Manage source control with GitHub best practices and define standards for the pull request (PR) process.
• Define and manage a release workflow to update latest code to the corresponding environments.
• Build continuous integration (CI) pipelines with GitHub actions.
• Experience with Azure Data Lake, Azure SQL Data Warehouse, Data Catalog, Eventhub, Azure Virtual Machines, Blob Storage, Azure SQL Database, Azure DNS, Virtual Network, Azure App Service
• Experience with Big Data Technology Stack: Hadoop/Spark/Hive/MapR
• Experience designing and building cloud native applications as well as Azure Cloud migration experience.
• Experience with Azure IaaS and PaaS services.
• Project experience using Azure cloud, data lake storage, installation, security and infrastructure (IaaS) set up
• Experience with Big Data Management (BDM) for relational and non-relational data (formats like json, xml, avro, parquet, copybook, etc.)

Job Qualifications

• 
  Bachelor’s degree in Computer Engineering, Computer Science or related discipline, Master’s Degree preferred
• 4+ years of Microsoft Azure experience or equivalent with AWS or GPC.
• 3+ years of experience implementing automated deployments with GitHub integration and CI/CD pipelines.
• 5+ years of experience in defining GitHub branching strategy for Dev, TEST, PROD, and Hotfix deployments.
• 2+ years of experience automating infrastructure as code using Terraform templates.
• 5+ years of experience in scripting with bash, PowerShell, and Azure CLI.
• 3+ years of experience supporting Azure resources by monitoring diagnostics logs and alerts.
• 2+ years of experience in defining security strategy for Azure resources with networking and firewall rules.
• 2+ years of experience in defining and managing access control strategy for Azure resources.
• Understand different types of storage (filesystem, relation, MPP, NoSQL) and working with various kinds of data (structured, unstructured, metrics, logs, etc.)
• 6+ years of experience working with SQL.
• Experience in ETL design, development, and performance tuning in general.
• 3+ years’ experience managing offshore teams
• Experience managing and governing cloud costs for a data team
• Experience working without other public cloud technologies AWS, GCP
• Experience with setting up and operating data pipelines using Python or SQL
• Experience working with relational databases
• Strong analytical problem-solving ability
• Great presentation skills
• Great written and verbal communication skills
• Self-starter with the ability to work independently or as part of a project team
• Capability to conduct performance analysis, troubleshooting and remediation
• Excellent verbal and written communication skills
• Ability to manage multiple efforts concurrently
• Strong problem-solving skills
• Strong knowledge of emerging technologies and tools
• Strong organizational and time management skills
• Effective collaboration of tasks across the business and technical teams
• Able to work quickly and under tight delivery deadlines with focus on details
• Interface with key customers from all functional areas - Analytic skills are needed
• Proven and recent experience of implementing solutions from requirements gathering and process design to functional production deployment
• Demonstrated ability to produce high quality deliverables