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In Computer Science Jobs in California, PA (NOW HIRING)

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Senior Software Vulnerability Analyst

Scottdale, PA · On-site

$78K - $103K/yr

Bachelor's degree in computer science, cybersecurity, or a related field. * 5+ years of hands-on vulnerability analysis experience - assessing, triaging, and reasoning about software vulnerabilities ...

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All JobsIn Computer Science JobsIn Computer Science Jobs in California, PA

In Computer Science information

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$49.5K

$72.8K

$85.8K

How much do in computer science jobs pay per year?

As of Sep 5, 2026, the average yearly pay for in computer science in California, PA is $72,767.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,900.00 and $81,900.00 per year, depending on experience, location, and employer.

What cities near California, PA are hiring for In Computer Science jobs?

Cities near California, PA with the most In Computer Science job openings:

In Computer Science jobs near you
Infographic showing various In Computer Science job openings in California, PA as of June 2026, with employment types broken down into 73% Full Time, 26% Part Time, and 1% Temporary. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $72,767 per year, or $35 per hour.

Kafka Developer

Neshent Technologies

Boston, PA • On-site

$46.25 - $59.75/hr

Full-time

Posted 21 days ago

Job description

Job Summary

We are seeking an experienced Java/Kafka Developer with strong expertise in Java, Spring Boot, Microservices, Apache Kafka, REST APIs, and Distributed Systems. The ideal candidate will develop scalable, high-performance, event-driven applications and contribute to cloud-ready enterprise solutions using modern DevOps practices.

Required Technical Skills
  • Strong hands-on experience with Java/J2EE, Spring Boot, and Spring Framework.
  • Extensive experience developing microservices and RESTful APIs.
  • Strong expertise in Apache Kafka, including producers, consumers, topics, partitions, consumer groups, and stream processing.
  • Experience designing event-driven and distributed system architectures.
  • Strong knowledge of asynchronous communication, fault tolerance, scalability, and application resiliency.
  • Experience with relational databases such as Oracle, SQL Server, or MySQL.
  • Strong SQL skills, including query optimization, stored procedures, data modeling, and performance tuning.
  • Experience with Jenkins and CI/CD pipelines.
  • Proficiency with Git and Maven.
  • Understanding of cloud-native application development and deployment.
  • Experience with application monitoring, logging, troubleshooting, and performance optimization.
Roles & Responsibilities
  • Design, develop, test, and maintain enterprise-grade Java applications and microservices.
  • Build scalable and resilient services using Spring Boot and Spring Framework.
  • Design and implement RESTful APIs and service integrations, including API security, versioning, logging, and error handling.
  • Develop and maintain Kafka-based event-driven applications, including producers, consumers, and stream-processing solutions.
  • Configure and optimize Kafka topics, partitions, and consumer groups for high-throughput and reliable messaging.
  • Troubleshoot Kafka, distributed-system, application performance, and data consistency issues.
  • Design highly available, fault-tolerant, and scalable distributed applications.
  • Develop and optimize SQL queries, database objects, and data models.
  • Support database performance tuning, migration, and modernization activities.
  • Develop and maintain Jenkins CI/CD pipelines and automate build, testing, deployment, and release processes.
  • Follow secure coding practices, development standards, and engineering best practices.
  • Perform code reviews and ensure adequate unit and integration test coverage.
  • Use Git for version control and Maven for dependency and build management.
  • Participate in Agile ceremonies, technical discussions, design reviews, and continuous improvement initiatives.
  • Collaborate with architects, business analysts, QA engineers, product owners, and DevOps teams throughout the SDLC.
Preferred Qualifications
  • Experience with cloud platforms and cloud-native architectures.
  • Knowledge of Kafka monitoring and observability tools.
  • Experience with Docker/Kubernetes is a plus.
  • Strong analytical, troubleshooting, communication, and teamwork skills.
  • Bachelor's degree in Computer Science, Engineering, or a related field preferred.

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