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Senior Java Software Developer Jobs in Columbia, SC

Pwc

Senior Technical Product Owner

Columbia, SC · On-site

$117K - $154K/yr

Those in software engineering at PwC will focus on developing innovative software solutions to ... Contribute to scalable software solutions using languages such as Java, Python, and C++. Own ...

Kanak Elite Services Inc

SDET

Columbia, SC · On-site

$46.25 - $59.75/hr

Position : SDET Location : Columbia, SC Hybrid - Onsite Tuesday, Wednesday, Thursday (and as needed ... Collaborate on improvements to a custom Java-based Selenium-Engine * Identify automation gaps and ...

Infojini Inc

Sr. .Net Developer

Columbia, SC · On-site

$50.50 - $66.50/hr

Emphases for the Programmer candidates will be on the modernization of legacy computer systems ... Diagnoses, isolates and de-bugs software problems and performs problem resolution. Adheres to ...

Ask IT consulting

.Net Developer

Columbia, SC

$44.75 - $59/hr

Java Script * SSRS * WCF - Must 5 years * Entity Framework 6 - Must 2 years * Responsive design - Recommended 3 years Additional Information Job Duties: * Interact with other software engineers and ...

Global Payments

SDET Analyst I

Columbia, SC · On-site

Exposure to programming or scripting languages such as Java, Python, C#, SQL or similar technologies used to support software quality and automation. * Strong analytical, problem-solving and ...

Global Payments, Inc.

SDET Analyst I

Columbia, SC · On-site +1

Exposure to programming or scripting languages such as Java, Python, C#, SQL or similar technologies used to support software quality and automation. * Strong analytical, problem-solving and ...

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Senior Java Software Developer information

See Columbia, SC salary details

$10

$58

$79

How much do senior java software developer jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for senior java software developer in Columbia, SC is $58.12, according to ZipRecruiter salary data. Most workers in this role earn between $50.91 and $64.95 per hour, depending on experience, location, and employer.

What is a senior Java software developer?

A Senior Java Software Developer is an experienced professional responsible for designing, developing, and maintaining complex software applications using the Java programming language. They typically lead development teams, mentor junior developers, and contribute to architectural decisions. Senior Java Developers are expected to have a deep understanding of Java frameworks, best coding practices, and software development methodologies. They also collaborate with stakeholders to deliver robust, scalable, and efficient software solutions.

What are some common challenges senior Java software developers face when leading projects, and how can they effectively address them?

Senior Java Software Developers often encounter challenges such as balancing hands-on coding with mentoring junior team members, managing project timelines, and ensuring code quality across large, distributed systems. To address these, it’s crucial to establish clear communication channels, implement robust code review processes, and leverage agile methodologies for project management. Additionally, staying up-to-date with the latest Java frameworks and best practices helps in making informed architectural decisions and streamlining development workflows.

What are the key skills and qualifications needed to thrive as a senior Java software developer?

To thrive as a Senior Java Software Developer, you need advanced proficiency in Java programming, strong knowledge of software design patterns, and experience with frameworks like Spring, typically backed by a bachelor's degree in computer science or a related field. Familiarity with tools such as Git, Maven, Jenkins, and cloud platforms, along with relevant certifications like Oracle Certified Professional Java SE, is often required. Strong problem-solving abilities, effective communication, and leadership skills help in mentoring teams and collaborating on complex projects. These skills ensure the delivery of robust, scalable software solutions and foster innovation within development teams.

What is the difference between Senior Java Software Developer vs Java Software Engineer?

AspectSenior Java Software DeveloperJava Software Engineer
Required CredentialsBachelor's degree in Computer Science or related field; extensive Java experience; certifications like Oracle Java CertificationBachelor's degree in Computer Science or related field; Java programming skills; certifications are common but not mandatory
Work EnvironmentDevelops complex applications, mentors junior staff, leads projectsDesigns and develops Java applications, collaborates with teams, implements features
Employer & Industry UsageUsed across tech companies, finance, healthcare, and enterprise sectorsCommon in software development firms, IT departments, and tech startups

The main difference between a Senior Java Software Developer and a Java Software Engineer lies in experience level and responsibilities. Senior developers often lead projects and mentor others, while Java Software Engineers focus on designing and implementing Java applications. Both roles require strong Java skills and similar educational backgrounds, but seniority involves additional leadership and project management duties.

What cities near Columbia, SC are hiring for Senior Java Software Developer jobs? Cities near Columbia, SC with the most Senior Java Software Developer job openings:
Senior Java Software Developer jobs near you
Infographic showing various Senior Java Software Developer job openings in Columbia, SC as of August 2026, with employment types broken down into 1% Internship, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $120,898 per year, or $58.1 per hour.

Senior AI/ML C++ software engineer

Recruiting Engine (MLS)

Lexington, SC

$104K - $138K/yr

Full-time

Re-posted 20 days ago

Job description

Senior Embedded Controls Engineer: C++/Linux and Machine Learning exp.
As an AI Machine Learning Engineer focus will be on designing and developing scalable solutions using AI tools and machine learning models. Addressing various neural network-related challenges in transportation sector. This involves leveraging big data computation and storage tools to create prototypes and datasets, conducting model training and evaluations, integrating solutions, performing bench tests and onsite tests, tuning, and monitoring. Proficiency in languages such as C and C++ is required, along with software development for Linux platforms.
Your responsibilities
Design and develop real time AI ? Neural Network solutions for transportation industry maintenance equipment. Implementing appropriate ML algorithms.
Write clean, documented code following best practices.
Develop and implement communication protocols.
Work independently and collaboratively with a motivated team.
Generate requirements and design documentation.
Plan for, design, and deliver testing, and tested products into the QA process.
Apply communication and problem-solving skills to solve software issues related to the design, development, deployment, testing, and operation of systems.
Qualifications
Education
Master"s / Bachelor"s degree in Software Engineering or similar experience.
Experience
5+ years of experience in developing CNN, R-CNN type neural network for computer vision tasks.
5+ years of experience in Software development using C++ & Linux embedded.
Experience with Supervised and Semi-Supervised Learning, Deep Learning, Support Vector Machines, Linear and Logistic Regression.
Working knowledge of AI Framework such as TensorFlow, Caf?, PyTorch, Keras, Darknet and OpenCV.
Working knowledge of AI edge devices such as NVIDIA Jetson / Nano / Orin.
Knowledge of the Linux Operating System.
Preferred Experience
Experience using statistical computer languages (R, Python, SQL etc.) to manipulate data and draw insights from large data sets.
Experience working with and creating data architectures.
Knowledge of a variety of machine learning techniques (semantic segmentation, clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
Experience with edge computing & controlling devices (On-device deployment in C/C++ or similar) for real time application.
Experience with optimizing neural networks to perform well on low-power mobile platforms (e.g. pruning, distillation, quantization).