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Java Production Support Jobs in San Antonio, TX (NOW HIRING)

Prophecy Technologies

Java Developer

San Antonio, TX · On-site

$46 - $59.50/hr

Support continuous improvement by investigating alternatives and technologies and presenting them ... Work with project stakeholders, Product Owners, Technical leads, and Architects. Required Skills:

Artech

Required Skills & Qualifications

San Antonio, TX · On-site

$47.75 - $61.50/hr

Senior Java Full Stack Developer We are seeking an experienced Senior Java Full Stack Developer ... Deploy and support applications on AWS, Azure, or Google Cloud Platform (GCP). System Design ...

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How much do java production support jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for java production support in San Antonio, TX is $47.21, according to ZipRecruiter salary data. Most workers in this role earn between $39.04 and $52.02 per hour, depending on experience, location, and employer.

What is a Java production support?

A Java Production Support job involves monitoring, maintaining, and troubleshooting Java-based applications in a production environment. Professionals in this role analyze issues reported by end users, debug logs, provide quick resolutions, and ensure minimal downtime. They collaborate with development teams to implement fixes, optimize performance, and deploy patches or updates. Strong problem-solving skills, knowledge of Java, databases, and application servers are essential. Additionally, they may work in shifts to provide 24/7 support, ensuring system stability and reliability.

What are the typical day-to-day responsibilities in a Java production support role?

In a Java Production Support position, you can expect to monitor application performance, investigate and troubleshoot production issues, and collaborate with development teams to resolve bugs or outages. Your day may involve analyzing log files, managing incident reports, and performing root cause analysis to prevent recurring problems. You’ll also interact with stakeholders to provide updates on system status and may coordinate urgent fixes during off-hours if needed. This role often requires balancing proactive system maintenance with rapid response to support tickets, making adaptability and clear communication essential.

What are the key skills and qualifications needed to thrive in the Java production support position, and why are they important?

To thrive as a Java Production Support professional, you need a solid understanding of Java programming, system troubleshooting, and application monitoring, often supported by a degree in computer science or a related field. Familiarity with tools like application servers (e.g., Tomcat, WebLogic), database management systems, issue tracking platforms, and incident management frameworks is typically required. Effective communication, problem-solving, and the ability to remain calm under pressure are standout soft skills for this role. These qualifications are crucial for minimizing downtime, swiftly resolving technical issues, and ensuring smooth operation of critical business applications.

What are the most commonly searched types of Java Production Support jobs in San Antonio, TX?

The most popular types of Java Production Support jobs in San Antonio, TX are:

What are popular job titles related to Java Production Support jobs in San Antonio, TX?

For Java Production Support jobs in San Antonio, TX, the most frequently searched job titles are:

What job categories do people searching Java Production Support jobs in San Antonio, TX look for?

The top searched job categories for Java Production Support jobs in San Antonio, TX are:

What cities near San Antonio, TX are hiring for Java Production Support jobs?

Cities near San Antonio, TX with the most Java Production Support job openings:

Java Production Support jobs near you
Infographic showing various Java Production Support job openings in San Antonio, TX as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 22% Part Time, and 5% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $98,191 per year, or $47.2 per hour.

Full Stack Java/React Developer - Data Scientist Senior Associate

San Antonio, TX • On-site

JPMorgan Chase & Co.
Finance and Insurance • 10K+ employees

8.0

Company rating: 8.0 out of 10

Based on 497 frontline employees who took The Breakroom Quiz

72nd of 173 rated banks

People enjoy working here

Good employer

Recommended by students

Learn more about JPMorgan Chase & Co.external

$110 - $150/hr

Other

Posted 23 days ago

Job description

DART (Data, Analytics and Reporting Team) serves as a provider of data, analytics, and automation solutions for functions within the Consumer and Community Banking Operations. As a global team with a presence in the United States, India, and the Philippines, this role offers the opportunity to develop cutting‑edge solutions and the necessary infrastructure to support them. The position involves collaboration with various stakeholders and management levels to ensure the delivery of the most effective solutions.

Job summary:

As a Data Scientist Senior Associate in the DART (Data, Analytics and Reporting Team), you will be responsible for setting up future ready solutions and related infrastructure.

Job Responsibilities
  • Design, develop, and maintain ETL data pipelines using AWS Glue, Java, or Python
  • Write secure, high-quality code following best practices and engineering standards
  • Collaborate with AWS infrastructure teams to deploy and optimize containerized applications on Amazon ECS
  • Develop and maintain data integrations with Oracle databases and AWS RDS
  • Partner with business stakeholders to gather requirements and translate business needs into technical solutions
  • Participate in code reviews, testing, and CI/CD pipeline maintenance
  • Apply knowledge of the Software Development Life Cycle, including Jenkins, Docker, and Git
  • Gather, analyze, and draw conclusions from large datasets to support decision‑making
  • Participate in production support and incident response as needed
Required Qualifications, Capabilities, and Skills
  • Bachelor’s degree with 7+ years or Master’s with 5+ years of relevant experience in a quantitative field (e.g., Computer Science, Engineering).
  • Design, develop, and maintain ETL data pipelines using AWS Glue, Java, or Python, and migrate legacy ETL to cloud-native solutions.
  • Develop and maintain data integrations with Oracle databases and AWS RDS; familiarity with Liquibase for database migrations.
  • Write secure, high-quality code following best practices and engineering standards; experience with Java, Spring Boot, and data processing frameworks (PySpark, Pandas).
  • Collaborate with AWS infrastructure teams to deploy and optimize containerized applications on Amazon ECS.
  • Apply knowledge of the Software Development Life Cycle, including Jenkins, Docker, and Git; participate in code reviews, testing, and CI/CD pipeline maintenance.
  • Gather, analyze, and draw conclusions from large datasets to support decision‑making.
  • Participate in production support and incident response as needed; knowledge of observability tools such as Splunk or CloudWatch.
  • Partner with business stakeholders to gather requirements and translate business needs into technical solutions.
  • Strong problem‑solving mindset, excellent communication skills, highly organized, intellectually curious, and able to work independently on unstructured problems.
Preferred Qualifications, Capabilities, and Skills
  • Experience in financial services or highly regulated industries.
  • AWS certifications (Solutions Architect Associate, Developer Associate, or Data Analytics Specialty) and experience migrating legacy ETL processes to cloud-native solutions.
  • Experience in financial services or highly regulated industries; AWS certifications (Solutions Architect Associate, Developer Associate, or Data Analytics Specialty) preferred.
  • Proficiency with Java, Spring Boot, and hands‑on experience with data processing frameworks such as PySpark and Pandas.
  • Familiarity with Liquibase for database migrations and knowledge of observability tools like Splunk or CloudWatch.
  • Strong problem‑solving mindset; excels at solving unstructured problems independently.
  • Intellectually curious, strategic, and eager to learn with a focus on business goals and innovation and Highly organized, able to prioritize multiple tasks, and strong communicator who builds effective relationships with stakeholders.
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