Java Production Support

Machine Learning Technologies, LLC

Dallas (TX)

On-site

USD 70,000 - 95,000

Full time

9 hours ago
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Job summary

Machine Learning Technologies, LLC in Dallas, TX is seeking an experienced production support specialist (L1/L2) with strong Java, Unix, Azure, Kubernetes, Docker, and SQL skills to ensure high availability of production systems.

The role requires ownership of user problems, 24x7 shift coverage, incident and problem management, monitoring solutions, and proactive collaboration with internal teams to meet SLA and reliability goals.

Qualifications

  • 5 years of strong production support (L1/L2) experience.
  • Working knowledge in Java, Unix, Azure (Kubernetes and Dockers) & SQL.
  • Take ownership of user problems and be proactive when dealing with user issues.
  • Monitor all systems and report any issue that may significantly impact the business.
  • Experience in monitoring, analysing, troubleshooting problems, providing code fixes and testing.

Responsibilities

  • Issue and query resolution.
  • Willing to work in 24x7 shifts on rotational basis.
  • Create/develop/utilize application monitoring solutions to enhance availability and performance in production.
  • Conduct root-cause analysis and propose a corrective action plan.
  • Follow established processes while handling issues and for proper escalation to internal/external teams.
  • Responsible for reports, requests (like RFP), maintaining the SLA and account payable records.
  • Maintain logs of all issues and ensure resolutions according to QA tests for all production processes.
  • Ensure on-time delivery of all assigned tasks – incidents, problem tickets, etc.
  • Experience in handling Critical Incidents (P1 and P2) and Bridge call.
  • Adhere to the defined support delivery process/guidelines.
  • Problem Management, Incident Management, Change Management, SLA Compliance.
  • Excellent interpersonal skills, team player, proactive, self-starter and motivated.

Skills

Production support
Java
Unix
SQL
Monitoring

Tools

Kubernetes
Docker
Azure

Job description

  • 5 years of strong production support (L1/L2) experience.
  • Working Knowledge in Java, Unix, Azure (Kubernetes and Dockers) & SQL.
  • Take ownership of user problems and be proactive when dealing with user issues.
  • Monitor all s and report any issue that may significantly impact the business.
  • Monitoring, analysing, troubleshooting problems, providing code fixes and testing.
  • Issue and query resolution.
  • Willing to work in 24x7 shifts on rotational basis.
  • Create/develop/utilize application monitoring solutions to enhance application availability and performance in production.
  • Conduct root-cause analysis and propose a corrective action plan.
  • Follow established set of processes while handling issues and for proper escalation of unresolved issues to appropriate internal/external teams.
  • Responsible for reports, requests (like RFP), Maintaining the SLA (Service Level Agreement) and account payable records.
  • Maintain logs of all issues and ensure resolutions according to quality assurance tests for all production processes.
  • Ensure on-time delivery of all assigned tasks – incidents, problem tickets, etc.
  • Experience in handling Critical Incidents (P1 and P2) and Bridge call.
  • Adhere to the defined support delivery process/guidelines.
  • Problem Management, Incident Management, Change Management, SLA Compliance.
  • Excellent interpersonal skills, team player, proactive, self-starter and motivated.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

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