L2 Production/Platform Support Engineer

ASM Tech Solutions; Town of Florida (NY); Hybrid; USD 95,000 - 125,000; Full time

Job summary

ASM Tech Solutions seeks an experienced L2 Production/Platform Support Engineer to assist AI/ML platforms, cloud infrastructure, data pipelines, and production services in a hybrid role. The position requires strong Linux/Unix, SQL, Python or Shell scripting, Kubernetes, and cloud-native troubleshooting with CI/CD and monitoring focus.

Applicants should have 3-5 years of relevant experience, familiarity with ITIL processes, and a background in incident management, RCA, and problem resolution.

Qualifications

• 3-5 years of L2 Application, Platform, DevOps, 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 GitLab.
• Monitoring/observability tools such as Splunk, Grafana, AppDynamics, or Prometheus.
• Incident management, RCA, problem management, and ITIL.
• Experience troubleshooting APIs, data pipelines, workflows, and production deployments.

Responsibilities

• 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 DevOps, 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.

Skills

L2 support experience

Unix/Linux

SQL

Python or Shell

Kubernetes

Cloud-native apps

CI/CD (GitLab)

Monitoring (Splunk Grafana Prometheus)

ITIL incident management

Data pipelines / APIs debugging

Tools

GitLab

Docker

Terraform

Ansible

Kafka / MQ

Job description

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 Overview

We 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.

Key Responsibilities

• 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 DevOps, 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.

Mandatory Skills

• 3-5 years of L2 Application, Platform, DevOps, 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 GitLab.
• Monitoring/observability tools such as Splunk, Grafana, AppDynamics, or Prometheus.
• Incident management, RCA, problem management, and ITIL.
• Experience troubleshooting APIs, data pipelines, workflows, and production deployments.

Good to Have

• 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