15 results (1 new)

Group by company

Wise Skulls Corp.

Phoenix, Arizona • Today

Easy Apply

Contract

Depends on Experience

Java + SRE Engineer

Omega Hires

Hybrid in Phoenix, Arizona • 2d ago

Contract

$45 - $52

Java + SRE Engineer with AI

Nityo Infotech Corporation

Hybrid in Phoenix, Arizona • Yesterday

Easy Apply

Contract

Depends on Experience

Site Reliability / Java Developer

Randstad Digital

Phoenix, Arizona • Today

Contract

USD45 - USD55

Staff Site Reliability Engineer

Early Warning Services, LLC

Scottsdale, Arizona • Today

Full-time

USD 124,000.00 - 165,000.00 per year

Site Reliability Engineer (SRE)

Apex Systems

Chandler, Arizona • Today

Easy Apply

Full-time

$58 - $59 per hour

Site Reliability Engineer, USG

Aalyria

Remote • Today

Full-time

USD 125,000.00 - 150,000.00 per year

Site Reliability Engineer- REMOTE - Onsite Training

NTT DATA, Inc.

Remote or Memphis, Tennessee • Today

Full-time

USD 87,120.00 - 151,250.00 per year

Sr. Site Reliability Engineer

CentralReach

Remote • Today

Full-time

USD 160,000.00 - 180,000.00 per year

Site Reliability Engineer

NTT DATA, Inc.

Remote or Texas • Today

Full-time

USD 80,000.00 - 114,000.00 per year

Senior Site Reliability Engineer

ZocDoc

Remote or New York, New York • Today

Full-time

USD 180,000.00 - 220,000.00 per year

Site Reliability Operations Engineer

Randstad Digital

Chandler, Arizona • Today

Contract

USD47 - USD57

Site Reliability Engineer

Solventum

Remote or Pennsylvania • Today

Full-time

USD 124,000.00 - 170,500.00 per year

Senior Site Reliability Engineer

Autodesk Inc.

Remote or Idaho • Today

Full-time

USD 117,000.00 - 209,330.00 per year

Principal Site Reliability Engineer

Early Warning Services, LLC

Scottsdale, Arizona • Today

Full-time

USD 194,000.00 - 237,000.00 per year

Job Details

Skills

Artificial Intelligence
Application Development
Authorization
Continuous Delivery
Continuous Integration
Debugging
Elasticsearch
Generative Artificial Intelligence (AI)
GitHub
Incident Management
J2EE
Java
Kibana
Kubernetes
Management
Microservices
Production Engineering
Production Support
Root Cause Analysis
Splunk
Spring Framework
REST APIs
Spring Boot
API
Change Management
Cloud Computing
Collaboration
Computer Networking
Conflict Resolution
Dashboard
Database
DevOps
Documentation
JD
Linux
Log Analysis
Network
Problem Solving
Prompt Engineering
Release Management
Routing
SLA
Scripting
Software Design
Software Engineering
Test Cases
Testing

Artificial Intelligence
Application Development
Authorization
Continuous Delivery
Continuous Integration
Debugging
Elasticsearch
Generative Artificial Intelligence (AI)
GitHub
Incident Management
J2EE
Java
Kibana
Kubernetes
Management
Microservices
Production Engineering
Production Support
Root Cause Analysis
Splunk
Spring Framework
REST APIs
Spring Boot
API
Change Management
Cloud Computing
Collaboration
Computer Networking
Conflict Resolution
Dashboard
Database
DevOps
Documentation
JD
Linux
Log Analysis
Network
Problem Solving
Prompt Engineering
Release Management
Routing
SLA
Scripting
Software Design
Software Engineering
Test Cases
Testing

Summary

Site Reliability Engineer + Java

Introduction:

We are looking for a hands-on Java + SRE Engineer with strong application development, production support, observability, and troubleshooting experience. The candidate should have solid Java/Spring Boot fundamentals along with practical knowledge of Generative AI and AI-assisted engineering tools to accelerate development, problem solving, automation, and learning of new technologies.

Responsibilities:

Develop, enhance, troubleshoot, and support enterprise applications using Java/J2EE, Spring Boot, REST APIs, and microservices.
Provide SRE and production engineering support for business-critical applications and services.
Troubleshoot complex production issues across application, API, infrastructure, database, and network layers.
Perform Root Cause Analysis (RCA) and drive corrective and preventive actions for recurring incidents.
Support Incident, Problem, and Change Management processes and work with application SLA/SLOs.
Monitor application and platform health using Splunk, Elasticsearch/Kibana, or similar observability platforms.
Create and enhance dashboards, alerts, log queries, and health monitoring.
Support applications running on Kubernetes/OpenShift and enterprise Linux environments.
Work with CI/CD pipelines, release/deployment processes, and production validation.
Identify opportunities to automate repetitive operational activities and improve application reliability.
Use AI-assisted engineering tools appropriately for code understanding, debugging, log analysis, documentation, testing, and automation.
Quickly ramp up on new applications, technologies, APIs, and support processes based on project requirements.

Requirements:

Required Technical Skills

Strong hands-on experience with Java/J2EE.
Strong knowledge of Spring Boot, REST APIs, and microservices.
Experience debugging production Java applications, including logs, exceptions, API failures, and performance issues.
Understanding of application design, integrations, and distributed systems.
Strong production support and troubleshooting experience.
Knowledge of Incident, Problem, and Change Management.
Experience with RCA, SLA/SLO, application availability, reliability, and production stability.
Ability to identify recurring operational issues and implement engineering or automation-based solutions.
Hands-on experience with Splunk.
Knowledge of Elasticsearch/Kibana or similar observability tooling.
Experience with application monitoring, dashboards, alerts, log analysis, and production diagnostics.
Good understanding of Kubernetes/OpenShift.
Knowledge of CI/CD pipelines, application deployments, and release management.
Understanding of networking, certificates, application connectivity, and traffic-routing concepts.
Scripting/automation experience is preferred.
Working knowledge of Generative AI, LLMs, and AI-assisted software engineering.
Experience using tools such as GitHub Copilot or equivalent AI coding assistants.
Ability to effectively use AI for various tasks.
Basic understanding of prompt engineering and effective interaction with LLM-based tools.
Awareness of RAG, AI agents/agentic AI, and AI-assisted automation is a plus.
Ability to critically review and validate AI-generated code or recommendations before using them in production.

Preferred Candidate Profile:

A strong Java engineer with an SRE mindset who can work across development and production environments. The candidate should be comfortable moving between code-level debugging, APIs, observability, Kubernetes/OpenShift, production incidents, RCA, and automation. The candidate should also be comfortable using AI as an engineering accelerator, while having sufficient Java and SRE fundamentals to independently validate solutions and rapidly ramp up on unfamiliar technologies.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91097138
Position Id: 9123695
Posted 6 hours ago

Fitment

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Contact the job poster

Sanskar Pandya

Recruiter @ Wise Skulls Corp.

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Job Details

Skills

Artificial Intelligence
Application Development
Authorization
Continuous Delivery
Continuous Integration
Debugging
Elasticsearch
Generative Artificial Intelligence (AI)
GitHub
Incident Management
J2EE
Java
Kibana
Kubernetes
Management
Microservices
Production Engineering
Production Support
Root Cause Analysis
Splunk
Spring Framework
REST APIs
Spring Boot
API
Change Management
Cloud Computing
Collaboration
Computer Networking
Conflict Resolution
Dashboard
Database
DevOps
Documentation
JD
Linux
Log Analysis
Network
Problem Solving
Prompt Engineering
Release Management
Routing
SLA
Scripting
Software Design
Software Engineering
Test Cases
Testing

Artificial Intelligence
Application Development
Authorization
Continuous Delivery
Continuous Integration
Debugging
Elasticsearch
Generative Artificial Intelligence (AI)
GitHub
Incident Management
J2EE
Java
Kibana
Kubernetes
Management
Microservices
Production Engineering
Production Support
Root Cause Analysis
Splunk
Spring Framework
REST APIs
Spring Boot
API
Change Management
Cloud Computing
Collaboration
Computer Networking
Conflict Resolution
Dashboard
Database
DevOps
Documentation
JD
Linux
Log Analysis
Network
Problem Solving
Prompt Engineering
Release Management
Routing
SLA
Scripting
Software Design
Software Engineering
Test Cases
Testing

Summary

Site Reliability Engineer + Java

Introduction:

Responsibilities:

Develop, enhance, troubleshoot, and support enterprise applications using Java/J2EE, Spring Boot, REST APIs, and microservices.
Provide SRE and production engineering support for business-critical applications and services.
Troubleshoot complex production issues across application, API, infrastructure, database, and network layers.
Perform Root Cause Analysis (RCA) and drive corrective and preventive actions for recurring incidents.
Support Incident, Problem, and Change Management processes and work with application SLA/SLOs.
Monitor application and platform health using Splunk, Elasticsearch/Kibana, or similar observability platforms.
Create and enhance dashboards, alerts, log queries, and health monitoring.
Support applications running on Kubernetes/OpenShift and enterprise Linux environments.
Work with CI/CD pipelines, release/deployment processes, and production validation.
Identify opportunities to automate repetitive operational activities and improve application reliability.
Use AI-assisted engineering tools appropriately for code understanding, debugging, log analysis, documentation, testing, and automation.
Quickly ramp up on new applications, technologies, APIs, and support processes based on project requirements.

Requirements:

Required Technical Skills

Strong hands-on experience with Java/J2EE.
Strong knowledge of Spring Boot, REST APIs, and microservices.
Experience debugging production Java applications, including logs, exceptions, API failures, and performance issues.
Understanding of application design, integrations, and distributed systems.
Strong production support and troubleshooting experience.
Knowledge of Incident, Problem, and Change Management.
Experience with RCA, SLA/SLO, application availability, reliability, and production stability.
Ability to identify recurring operational issues and implement engineering or automation-based solutions.
Hands-on experience with Splunk.
Knowledge of Elasticsearch/Kibana or similar observability tooling.
Experience with application monitoring, dashboards, alerts, log analysis, and production diagnostics.
Good understanding of Kubernetes/OpenShift.
Knowledge of CI/CD pipelines, application deployments, and release management.
Understanding of networking, certificates, application connectivity, and traffic-routing concepts.
Scripting/automation experience is preferred.
Working knowledge of Generative AI, LLMs, and AI-assisted software engineering.
Experience using tools such as GitHub Copilot or equivalent AI coding assistants.
Ability to effectively use AI for various tasks.
Basic understanding of prompt engineering and effective interaction with LLM-based tools.
Awareness of RAG, AI agents/agentic AI, and AI-assisted automation is a plus.
Ability to critically review and validate AI-generated code or recommendations before using them in production.