Java Application Support Engineer

Machine Learning Technologies, LLC; San Leandro (CA); Presencial; USD 120.000 - 180.000; Jornada completa

Descripción de la vacante

Machine Learning Technologies, LLC is seeking a seasoned Java Application Support Engineer to provide L2/L3 production support for enterprise Java applications. The role emphasizes monitoring health, troubleshooting production issues, and ensuring high availability of critical systems.

You will collaborate with Development, Infrastructure, DBA, Cloud, and Business teams, perform root cause analysis, and support releases and change management in an ITIL-aligned environment.

Formación

• Strong experience in desktop/enterprise Java applications and APIs.
• Experience with ITIL incident, problem, and change management.
• Proven ability to troubleshoot production issues and perform RCA.
• Experience with monitoring and observability tools.
• Familiarity with cloud platforms (AWS, Azure, GCP).

Responsabilidades

• Provide L2/L3 production support for Java-based enterprise applications.
• Monitor performance, availability, and system health using observability tools.
• Investigate and resolve incidents within SLA timelines.
• Analyze logs, dumps, and metrics to diagnose issues.
• Lead RCA and preventive action implementations.
• Support deployments, environments, and post-release validation.
• Troubleshoot REST APIs, microservices, and batch processing failures.
• Execute SQL queries for data analysis and issue investigation.
• Collaborate with Development, Infra, DBA, Cloud, and Business teams.
• Participate in on-call rotation.
• Drive automation to reduce manual effort and improve efficiency.
• Maintain runbooks and support documentation.
• Adhere to ITIL processes for incident, problem, and change management.

Conocimientos

Java

J2EE

Spring

Spring Boot

Microservices

REST APIs

JVM & GC

SQL & Data Analysis

Linux/Unix

Incident Management

Herramientas

Docker

Kubernetes

OpenShift

Jenkins

GitHub Actions

Azure DevOps

GitLab CI

Datadog

AppDynamics

Dynatrace

Descripción del empleo

We are seeking a seasoned Java Application Support Engineer to provide L2/L3 production support for enterprise Java applications. The ideal candidate will be responsible for monitoring application health, troubleshooting production issues, performing root cause analysis, supporting releases, and ensuring high availability and performance of business-critical systems. The role requires strong expertise in Java technologies, incident management, database troubleshooting, and collaboration with development, infrastructure, and business teams.

Key Responsibilities:

• Provide L2/L3 production support for Java-based enterprise applications and APIs.
• Monitor application performance, availability, and system health using observability and monitoring tools.
• Investigate and resolve production incidents, service disruptions, and performance issues within SLA timelines.
• Analyze application logs, thread dumps, heap dumps, and system metrics to diagnose complex issues.
• Perform root cause analysis (RCA) and implement preventive measures to reduce recurring incidents.
• Support application deployments, releases, environment management, and post-release validation activities.
• Troubleshoot REST APIs, microservices, middleware integrations, and batch processing failures.
• Execute SQL queries for data analysis, validation, and issue investigation.
• Collaborate with Development, Infrastructure, DBA, Cloud, and Business teams for incident resolution.
• Participate in on-call support rotation for critical production issues.
• Drive automation initiatives to improve operational efficiency and reduce manual effort.
• Maintain support documentation, knowledge articles, runbooks, and operational procedures.
• Support change management, problem management, and incident management processes following ITIL best practices.

Required Qualifications

Technical Skills

• Strong experience in Java, J2EE, Spring, Spring Boot, and Microservices.
• Experience supporting RESTful APIs and distributed applications.
• Good understanding of JVM, Garbage Collection, Thread Management, and Performance Tuning.
• Hands-on experience with relational databases such as Oracle, SQL Server, PostgreSQL, or MySQL.
• Strong SQL skills for troubleshooting and data analysis.
• Experience with Linux/Unix environments and shell scripting.
• Knowledge of application servers such as Tomcat, JBoss, or WebSphere.
• Familiarity with messaging technologies like Kafka, JMS, or MQ.
• Experience with CI/CD tools such as Jenkins, GitHub Actions, Azure DevOps, or GitLab CI.
• Knowledge of cloud platforms such as AWS, Azure, or GCP is preferred.
• Experience using monitoring tools such as AppDynamics, Dynatrace, Splunk, Grafana, Datadog, ELK, or New Relic.

Process & Support Skills

• Strong understanding of ITIL processes including Incident, Problem, and Change Management.
• Experience working with ticketing tools such as ServiceNow, Jira, or Remedy.
• Ability to manage and coordinate P1/P2 Major Incidents.
• Excellent troubleshooting, analytical, and problem-solving skills.

Preferred Qualifications

• Experience supporting high-volume banking, financial services, insurance, or enterprise platforms.
• Exposure to container platforms such as Docker, Kubernetes, or OpenShift.
• Experience with AI-assisted developer tools such as GitHub Copilot or Microsoft Copilot.
• ITIL Foundation certification is a plus.

Soft Skills

• Strong communication and stakeholder management skills.
• Ability to work in a fast-paced production support environment.
• Strong ownership and accountability.
• Excellent collaboration and documentation skills.

Nice-to-Have Technologies

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.