This is a remote position.

Domino Platform L3 Support / Development Engineer Service Tower: Data & AI Platforms / Advanced Analytics Experience: 710 Years Role Type: L3 Support / Platform Engineering / Development Support Domain Preferred: Life Sciences / Pharmaceutical / Regulated Environments Immediate Joiners Only Budget: Open Location: Open Work Mode: Open to all: Remote/Hybrid Role Objective 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.

Required Skills Mandatory Technical Skills 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.

Experience Requirements 710 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 robust advantage.

7+ yrs
Domino Data Lab

Required Skill Profession

Other General

📌 Domino PlatformSupport / Development Engineer (India)
🏢 TALPRO INDIA PRIVATE
📍 India