L2 Production/Platform Support Engineer
Job in
Town of Florida, Montgomery County, New York, USA
Listed on 2026-10-14
Listing for:
ASM Tech Solutions
Full Time
position Listed on 2026-10-14
Job specializations:
-
IT/Tech
SRE/Site Reliability, Cloud Computing: Infrastructure & Operations, IT Support
Job Description & How to Apply Below
Job Title: AI/ML Platform L2 Support
Location: Lake Mary, FL or 240 NY Office
Work Arrangement: Hybrid - 3 Days Onsite / 2 Days Remote
Position OverviewWe are looking for an experienced L2 Production/Platform Support Engineer to support AI/ML platforms, cloud infrastructure, data pipelines, model-serving environments, and related production services.
The ideal candidate will have strong hands-on experience with Linux/UNIX, SQL, Python/Shell scripting, Kubernetes, cloud-native applications, CI/CD, monitoring, and production incident management
. Exposure to MLOps and AI/ML platforms is highly preferred.
- Monitor, troubleshoot, and resolve Level 2 production incidents across AI/ML platforms and cloud environments.
- Support deployment, orchestration, and operational management of AI/ML workloads.
- Build and maintain monitoring, logging, alerting, and observability solutions.
- Perform root cause analysis (RCA) and implement permanent fixes.
- Collaborate with Dev Ops, MLOps, Data Engineering, Platform Engineering, and Application teams.
- Support CI/CD pipelines and deployment automation.
- Troubleshoot data pipelines, workflow orchestration, model training, and model deployment issues.
- Develop automation, self-service tools, recovery mechanisms, and self-healing solutions.
- Follow ITIL-based incident, problem, change, and release management processes.
- Analyze incident trends and identify opportunities for automation and operational improvement.
- 3-5 years of L2 Application, Platform, Dev Ops, or Production Support experience.
- Strong UNIX/Linux and SQL.
- Shell scripting or Python.
- Kubernetes and container-based environments.
- Cloud-native application and distributed-system troubleshooting.
- CI/CD and Git Lab.
- Monitoring/observability tools such as Splunk, Grafana, App Dynamics, or Prometheus.
- Incident management, RCA, problem management, and ITIL.
- Experience troubleshooting APIs, data pipelines, workflows, and production deployments.
- MLOps / AI/ML production support
- Model deployment and monitoring
- AWS, Azure, or GCP
- Docker
- Terraform / Ansible
- Kafka / MQ
- Control-M or similar schedulers
- Self-healing and auto-remediation
- Resilience, backup, and disaster recovery
- AI-driven operational automation
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