Domino Platform L3 Support / Development Engineer

Location

Worldwide

Posted

18 hours ago

Salary

0

Seniority

Mid Level

Job Description

Domino Platform L3 Support / Development Engineer

TALPRO INDIA PRIVATE LIMITED

Role Description We are seeking an experienced Domino Platform L3 Support / Development Engineer to provide advanced technical support and engineering expertise for the Domino Data Lab platform. The role is focused on ensuring platform stability, performance, availability, and reliability for enterprise-scale Data Science, Advanced Analytics, and AI/ML workloads, particularly in a life sciences or pharmaceutical environment. The ideal candidate should have strong hands-on experience in supporting data science platforms, troubleshooting complex production issues, managing ML workflow orchestration, and working with cloud-native technologies. Key Responsibilities - L3 Platform Support & Incident Management - Provide Level-3 support for complex Domino Data Lab platform incidents escalated from L1/L2 teams. - Troubleshoot issues related to: - Workspace provisioning - Model execution - Job orchestration - Data connectivity - Platform performance - User access and environment issues - Perform detailed root cause analysis (RCA) and implement permanent fixes for recurring issues. - Ensure incidents and service requests are handled in line with defined SLAs and KPIs. - Domino Platform Operations - Manage day-to-day operations of the Domino Data Lab platform. - Support platform upgrades, patching, monitoring, performance tuning, and workspace management. - Ensure high platform availability and uptime for enterprise data science users. - Monitor platform health and proactively identify reliability or performance risks. - Data Science & ML Workflow Support - Support data science environments and tools including: - Python - R - Git - Data science notebooks and workspaces - Enable ML lifecycle activities such as: - Experimentation - Model training - Model execution - Deployment support - Support analytics and AI/ML teams in resolving platform-level blockers. - Automation, Monitoring & Reliability - Implement automation improvements to reduce manual platform support efforts. - Enhance monitoring and alerting for platform health, usage, failures, and performance bottlenecks. - Recommend and implement improvements to increase stability, reliability, and scalability. - Cloud & Container Platform Support - Work with container and orchestration technologies such as: - Kubernetes - Docker - Support cloud-based AI/ML platform integrations and workloads across: - AWS - Amazon SageMaker - Azure Machine Learning - Assist with infrastructure-level troubleshooting related to cloud, containers, networking, and compute environments. Qualifications - Strong hands-on experience with Domino Data Lab platform. - Experience supporting data science platforms and ML workflow orchestration. - Strong troubleshooting and L3 production support experience. - Hands-on experience with: - Kubernetes - Docker - Python / R environments - GitHub / GitLab / Bitbucket - Cloud platform exposure, preferably: - AWS - Amazon SageMaker - Azure Machine Learning - Understanding of data science and AI/ML platform operations. Requirements - 7–10 years of overall IT experience. - Minimum 4+ years supporting data science, analytics, AI/ML, or advanced analytics platforms. - Experience working in life sciences, pharmaceutical, or regulated environments. - Familiarity with: - GxP environments - ITSM tools - Change management - Release management - Incident and problem management Nice to Have - Kubernetes administration experience. - Domino Data Lab certification. - Cloud certifications in AWS or Azure. - Exposure to: - Clinical analytics platforms - Research data platforms - AI/ML model development - Regulated data science environments Soft Skills - Strong analytical and problem-solving skills. - Ability to work independently in high-priority production support situations. - Good communication and stakeholder management skills. - Ability to collaborate with data scientists, ML engineers, infrastructure teams, and business stakeholders. - Strong ownership mindset and ability to work in SLA-driven environments. Key Expectations - Strong Domino Data Lab hands-on experience is highly preferred. - Must be comfortable handling L3 platform incidents and RCA. - Should have experience supporting enterprise AI/ML and data science workloads. - Life sciences / pharma / GxP experience will be a strong advantage.

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