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Senior Full Stack Software Engineer Jobs in Columbia, SC

TEKsystems

Senior Network Engineer

Lexington, SC

$55 - $65/hr

We are seeking a Senior Network Engineer to support and enhance a large-scale enterprise networking ... As an industry leader in Full-Stack Technology Services, Talent Services, and real-world ...

TEKsystems

Senior Network Engineer

Columbia, SC

$55 - $65/hr

Experience supporting Cisco enterprise networking technologies, including software-defined ... As an industry leader in Full-Stack Technology Services, Talent Services, and real-world ...

Stacklok

Sr. Software Engineer - Platform

North, SC · Remote

$189K - $231K/yr

As a Senior Engineer on Stacklok's core platform team, you will own subsystems within Stacklok Enterprise, the production distribution of ToolHive, the open source platform for running and governing ...

Pwc

Senior Manager, Solution Architect

Columbia, SC · On-site

Those in software engineering at PwC will focus on developing innovative software solutions to ... Key Responsibilities Lead assessment, planning, and execution of full stack application migrations ...

Varsity Tutors

Web Development Tutor

Columbia, SC · Remote

$18 - $40/hr

Ability to explain client-server architecture, MVC patterns, and authentication while preparing students for full-stack development roles and software engineering careers. * Conceptual Teaching ...

SunPlus

Sr. Dotnet Developer

Columbia, SC · On-site

$58/hr

JOB # 9250-SC-DES-Sr. Dotnet Developer PAY RATE: $58/hr on W2 or $85K + Benefits InterviewPr ocess ... software engineer or related field * 8 years' experience in building and optimizing SQL statements ...

Cisco

Software Engineer, Backend

Columbia, SC · On-site

$155K - $222K/yr

... the software development lifecycle. Preferred Qualifications * Programming experience in Rust ... The full salary range for certain locations is listed below. For locations not listed below, the ...

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Senior Full Stack Software Engineer information

See Columbia, SC salary details

$36.3K

$110K

$155.6K

How much do senior full stack software engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for senior full stack software engineer in Columbia, SC is $110,047.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,600.00 and $129,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a senior full stack software engineer?

To thrive as a Senior Full Stack Software Engineer, you need deep expertise in both front-end and back-end development, strong problem-solving abilities, and a solid foundation in computer science principles, typically demonstrated by a bachelor’s or master’s degree in a related field. Familiarity with frameworks and languages like React, Angular, Node.js, Python, and proficiency in using cloud platforms, version control systems like Git, and continuous integration tools is crucial, and relevant certifications are an advantage. Exceptional communication, leadership, and teamwork skills help you effectively coordinate with cross-functional teams and mentor junior engineers. These skills ensure you can deliver robust, scalable solutions while driving project success and fostering a collaborative development environment.

What does a senior full stack software engineer do?

A typical day for a Senior Full Stack Software Engineer involves designing and implementing new features, reviewing and improving code, and collaborating with product managers, designers, and other developers to deliver project goals. You might split your time between writing code for both front-end and back-end systems, participating in daily stand-up meetings, and providing technical guidance to junior team members. The role often requires balancing hands-on development with architectural planning and problem-solving for complex technical challenges. You’ll also frequently interact with stakeholders to gather requirements and provide updates, ensuring alignment throughout the software development lifecycle.

What is a senior full stack software engineer?

A Senior Full Stack Software Engineer is an experienced developer responsible for designing, building, and maintaining both front-end and back-end systems in web or software applications. They work with a variety of technologies, frameworks, and databases to ensure seamless functionality across the entire software stack. In addition to coding, they often provide technical leadership, mentor junior developers, and contribute to architectural decisions. Their role requires strong problem-solving skills, an understanding of best practices, and the ability to collaborate with cross-functional teams to deliver high-quality software solutions.

What are the most commonly searched types of Full Stack Software Engineer jobs in Columbia, SC? The most popular types of Full Stack Software Engineer jobs in Columbia, SC are:
What are popular job titles related to Senior Full Stack Software Engineer jobs in Columbia, SC? For Senior Full Stack Software Engineer jobs in Columbia, SC, the most frequently searched job titles are:
What job categories do people searching Senior Full Stack Software Engineer jobs in Columbia, SC look for? The top searched job categories for Senior Full Stack Software Engineer jobs in Columbia, SC are:
What cities near Columbia, SC are hiring for Senior Full Stack Software Engineer jobs? Cities near Columbia, SC with the most Senior Full Stack Software Engineer job openings:
Senior Full Stack Software Engineer jobs near you
Infographic showing various Senior Full Stack Software Engineer 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 $110,047 per year, or $52.9 per hour.

Senior AI/ML C++ software engineer

MLS Technologies

Lexington, SC • On-site

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.
Job Requirements
Minimum Security Clearance:
Bondable
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).

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