Java Application Support Engineer
AppLab Systems Inc
Sunnyvale, CA, United States
3 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Compensation
$114,400.0
Working hours
Regular working hours
Job source
Tech stack
Java (Programming Language)
Microsoft Windows
Amazon Web Services
Amazon Elastic Compute Cloud
Amazon S3
JIRA
Cloud Computing
Continuous Integration
Linux
HP Systems Insight Manager
Identity and Access Management
Python (Programming Language)
+28 more
PostgreSQL
MySQL
NoSQL
Oracle (Applications)
Performance Tuning
Query Optimization
Prometheus
Shell Script
SQL Databases
Data Logging
Scripting
Autoscaling
Grafana
Amazon Virtual Private Cloud (VPC)
Git
Cloudformation
Amazon Relational Database Service
Kubernetes
Route53
Functional Programming
Cloudwatch
Restful APIs
Terraform
Splunk
Docker
Jenkins
Servicenow
Microservices
Requirements
Need Skills: Java development experience, support experience in Linux and AWS is a must, Production Support experience, Scripting Shell Scripting/Python/Terraform, Rest API, SQL, Microservices, Git, * 7 years of hands-on experience in application/production support.
- Strong expertise in AWS cloud services and cloud-based application support.
- Strong Java development experience
- Excellent troubleshooting and analytical skills.
- Java development experience.
- Experience handling critical production incidents and major incident management.
- Strong knowledge of ITIL processes and best practices.
- Expertise in AWS - EC2, S3, IAM, CloudWatch, RDS (MySQL, PostgreSQL, Oracle), Lambda, VPC, Auto Scaling, Elastic Load Balancer (ALB/NLB), Route 53, CloudFormation, ECS/EKS (preferred)
- Expertise in Application Support - Production Support (L2/L3), Incident, Problem, and Change Management, SLA & KPI Management, Root Cause Analysis (RCA), Performance Tuning, Application Monitoring, Release & Deployment Support
- Strong Knowledge in SQL / NoSQL Databases, Query optimization & performance analysis.
- Experience in Linux/Unix and Windows systems
- Expertise in Shell Scripting/Python/Terraform
- Expertise in Git, Jenkins, Docker, Kubernetes, CI/CD pipelines
- Strong knowledge in Monitoring and Logging - Splunk, Grafana, Prometheus
- Knowledge in ITSM tools - ServiceNow, BMC Remedy, Jira
- Excellent communication and stakeholder management skills.
- Ability to work independently in a fast-paced, 24x7 production support environment.
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Prepare application
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