L1 Support Lead

TechDigital Group

Hartford (CT)

On-site

USD 110,000 - 150,000

Full time

5 days ago
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Job summary

TechDigital Group in Hartford, CT is seeking a senior technical support lead to own L2/L3 production support for microservices built on Spring Boot and REST APIs. You will manage incidents, drive triage and RCA, and ensure SLAs/OLAs are met across integrated teams.

The role emphasizes monitoring with Splunk, Grafana, AppDynamics, Prometheus; orchestration with Kubernetes/OpenShift; and automation through Python/PowerShell and AI tooling to reduce manual effort.

Qualifications

  • Hands-on experience with microservices and Spring Boot.
  • Experience in ITIL incident, problem and change management.
  • Proficient with Kubernetes/OpenShift and container platforms.
  • Proficient in cloud exposure (Azure preferred).
  • Experience with CI/CD (Jenkins, Azure DevOps).
  • Strong coding/scripting for automation (Python/PowerShell).
  • Familiarity with monitoring tools (Splunk, Grafana, AppDynamics).

Responsibilities

  • Lead L2/L3 production support for microservices applications.
  • Act as primary escalation point for critical incidents and drive RCA.
  • Monitor health, logs, and performance metrics; ensure SLAs/OLAs.
  • Coordinate deployment, configuration and troubleshooting of microservices.
  • Review ITIL tickets and participate in change management.
  • Guide and mentor support engineers; drive automation initiatives.
  • Provide regular status dashboards and support release validation.

Skills

Microservices architecture
ITIL processes
Kubernetes/OpenShift
Cloud exposure
CI/CD tooling
Java / Spring Boot
Automation scripting
Monitoring & observability
AI tooling for support

Tools

Docker
Kubernetes/OpenShift
Jenkins
Azure DevOps
GitHub Copilot
MySQL
SQL Server
PostgreSQL
MongoDB

Job description

Mandatory skills:
  1. Strong hands-on experience with microservices architecture (Spring Boot, REST APIs, API Gateway).
  2. Working knowledge of HealthCare, Clinical & Care Management - Preferred
  3. Familiarity with ITIL processes (Incident, Problem, Change Management, Production Checkout Support, BreakFix / Hot Fix)
Key Responsibilities
  • Lead L2/L3 production support for microservices applications, ensuring adherence to SLAs/OLAs.
  • Act as primary technical escalation point for critical incidents; drive triage, diagnosis, and resolution.
  • Perform root cause analysis (RCA) for major incidents and drive permanent fixes/preventive actions.
  • Monitor application health, logs, and performance metrics using Splunk, Grafana, AppDynamics, Prometheus.
  • Manage deployment, configuration, and troubleshooting of microservices on Kubernetes/OpenShift/container platforms.
  • Coordinate with development, DevOps, infrastructure, and database teams for issue resolution and change management.
  • Review and approve incident, problem, and change tickets (ITIL process) in tools like ServiceNow/JIRA.
  • Guide and mentor a team of support engineers; assign tasks, review work, and ensure quality of resolutions.
  • Drive automation initiatives using Python/PowerShell scripting and AI tools (Copilot/Claude/GPT) to reduce manual effort — self-healing scripts, alert automation, runbook automation, code review assistance.
  • Ensure documentation of knowledge base articles, runbooks, and support playbooks is current.
  • Participate in on-call rotation and manage major incident bridge calls when required.
  • Provide regular status reports, dashboards, and metrics to stakeholders (MTTR, ticket volume, aging, trends).
  • Support release management activities including deployment validation, smoke testing, and rollback planning.
Required Technical Skills
  • Strong hands-on experience with microservices architecture (Spring Boot, REST APIs, API Gateway).
  • Working knowledge of HealthCare, Clinical & Care Management - Preferred
  • Familiarity with ITIL processes (Incident, Problem, Change Management, Production Checkout Support, BreakFix / Hot Fix).
  • Experience with containerization & orchestration: Docker, Kubernetes/OpenShift.
  • Cloud exposure: Azure (Preferred) / GCP.
  • CI/CD tools: Jenkins, Git EMU / Git Actions, Azure DevOps.
  • Database: MySQL, SQL Server, PostgreSQL, MongoDB.
  • Programming Language: Java, Spring Boot Microservices, REST APIs.
  • AI Tools / LLMs: GitHub Copilot, Microsoft Copilot, Claude, GPT, Gemini, OpenAI — for code assistance, automation, and productivity gains in support workflows.
  • Monitoring/Observability Tools: Splunk, Grafana, AppDynamics, Prometheus.
  • Middleware/Messaging: Kafka.
  • Scripting: Python, PowerShell, or similar for automation.
Soft Skills
  • Strong analytical and problem-solving skills under time pressure.
  • Excellent verbal and written communication for stakeholder and client interaction.
  • Leadership and mentoring capability.
  • Ability to work in rotational shifts/on-call support model.
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