[Hiring] 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.