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Linkedin Software Engineer Jobs in Ohio (NOW HIRING)

Sr. Software Engineer

Cincinnati, OH · On-site

$117K - $155K/yr

For more information on Guerbet, go to www.guerbet.com and follow Guerbet on Linkedin, Twitter, Instagram and Youtube WHAT WE ARE LOOKING FOR The Sr. Software Engineer should possess a solid ...

Sr. Software Engineer

Cincinnati, OH

$117K - $155K/yr

For more information on Guerbet, go to www.guerbet.com and follow Guerbet on Linkedin, Twitter, Instagram and Youtube WHAT WE ARE LOOKING FOR The Sr. Software Engineer should possess a solid ...

AI/ML Software Engineer

Evendale, OH · On-site

$95K - $140K/yr

Provide a valid LinkedIn profile. * This role is a hybrid between an AI engineer, data scientist, and software developer, designed for someone who can operate across the full lifecycle of AI system ...

Software Engineer - IT Payroll Poznań, Poland Your responsibilities: * Design and implement ... LinkedIn Learning and Coursera. Please attach an English version of your CV. John Deere is an equal ...

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Showing results 1-20

Linkedin Software Engineer information

See Ohio salary details

$60.4K

$140.3K

$195.4K

How much do linkedin software engineer jobs pay per year?

As of Jul 28, 2026, the average yearly pay for linkedin software engineer in Ohio is $140,250.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,100.00 and $164,500.00 per year, depending on experience, location, and employer.

What does a LinkedIn Software Engineer do?

A LinkedIn Software Engineer is responsible for designing, developing, testing, and maintaining software applications and systems that power LinkedIn’s platform. They work with large-scale distributed systems, collaborate with cross-functional teams, and focus on delivering features that improve user experience and platform reliability. Their role often involves writing efficient code, solving complex technical problems, and ensuring the performance and security of LinkedIn’s services. Software Engineers at LinkedIn may specialize in areas such as backend, frontend, data infrastructure, or machine learning.

What is the difference between Linkedin Software Engineer vs LinkedIn Data Scientist?

AspectLinkedin Software EngineerLinkedIn Data Scientist
Required CredentialsBachelor's or higher in CS, Software Engineering, or related fieldsBachelor's or higher in Data Science, Statistics, or related fields
Work EnvironmentDevelops software applications, collaborates on engineering projectsAnalyzes data, builds models, provides insights for product decisions
Employer & Industry UsageTech companies, social media platforms, software firmsTech companies, social media, analytics firms

Linkedin Software Engineers focus on building and maintaining software systems, while LinkedIn Data Scientists analyze data to inform product strategies. Both roles require technical skills and are integral to LinkedIn's operations, but they differ in daily tasks and expertise areas.

What are the key skills and qualifications needed to thrive as a LinkedIn Software Engineer, and why are they important?

To thrive as a LinkedIn Software Engineer, you need strong programming skills in languages like Java, C++, or Python, a solid grasp of computer science fundamentals, and typically a relevant degree in computer science or a related field. Familiarity with large-scale distributed systems, cloud platforms, version control tools like Git, and software development methodologies is essential, and certifications in cloud technologies can be advantageous. Excellent problem-solving abilities, effective communication, and a collaborative mindset help engineers stand out in this role. These skills ensure that engineers can efficiently build scalable, reliable products that meet LinkedIn's high standards and support collaboration in dynamic teams.

What are some common challenges faced by Software Engineers at LinkedIn, and how are they addressed?

Software Engineers at LinkedIn often work on large-scale, high-traffic systems, which can present challenges such as ensuring reliability, scalability, and security. Collaborating with cross-functional teams—like product managers, designers, and data scientists—is key to overcoming these challenges. LinkedIn fosters a supportive environment with regular code reviews, mentorship programs, and opportunities for professional development, helping engineers navigate complex technical problems and grow their skills.
What cities in Ohio are hiring for Linkedin Software Engineer jobs? Cities in Ohio with the most Linkedin Software Engineer job openings:
Infographic showing various Linkedin Software Engineer job openings in Ohio as of July 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $140,250 per year, or $67.4 per hour.
Autonomy Software Engineer

Autonomy Software Engineer

University of Dayton

Dayton, OH • On-site

Full-time

Posted 14 hours ago


University Of Dayton rating

8.4

Company rating: 8.4 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

97th of 612 rated colleges and universities


Job description

Autonomy Software Engineer
Job No: 503429
Work Type: Staff Full Time (1500 hours or greater)
Location: Dayton, OH
Category: Research Institute Staff
Department: SPIRE - 250641
Pay Grade: R2/R3 - Exempt
Advertised: March 30, 2026
Applications close:
Position Summary:UDRI is looking for an experienced Software Engineer to join the SPIRE group. You will work in a collaborative team environment with a focus on software development leveraging state of the art AI and analytic tools (e.g., Go, Python, Rust, Spark, PyTorch, TensorFlow) to create consistent and reliable software. You will utilize tools and methods such as continuous integration (CI), containerization, Kubernetes, and continuous deployment (CD), and containerization. We are looking for you to be adept at demonstrating such technologies for solving problems while guiding the process to turn research innovations into robust, scaled solutions. Team members will have the flexibility to explore, learn and utilize new technologies for the betterment of the AI/ML community. Our projects feature a unique direct connection with our customers and end users. Qualified candidates with 3 or more years of experience are encouraged to apply.
Minimum Qualifications:
1) Bachelor's degree
2) 3+ years of experience in Software Development (R2), 8+ years of experience in Software Development (R3)
3) Highly self-motivated
4) Experience in the following:
-- 4.1) Design, coding, testing, deployment, and support, in a team environment
-- 4.2) Linux operating system
-- 4.3) Python programming language
-- 4.4) Source code version control systems, such as Git or similar, in a team environment
-- 4.5) Statically typed programming language experience (e.g., C/C++, GO, Rust, Java, C#)
5) Due to the requirements of our research contracts with the U.S. federal government, candidates for this position must be a U.S. citizen
Preferred Qualifications:
While not everyone may possess all of the preferred qualifications, the ideal candidate will bring many of the following:
1) Master's degree (or higher) in Computer Science, Computer/Electrical Engineering, or a related field
2) Rigorous software development skills
3) Professional experience with:
-- 3.1) machine learning operations (ML Ops), distributed systems and tools such as Kubernetes, continuous integration/continuous deployment (CI/CD), containerization (Docker or similar)
-- 3.2) Writing network services
-- 3.3) Solid experience in GO programming language
-- 3.4) Interest in or working knowledge of machine/deep learning, artificial intelligence, and/or autonomous systems
4) Strong written and verbal communication skills
5) Demonstrated, effective interpersonal skills
Special Instructions to Applicants:
To apply please submit a cover letter addressing each minimum qualification and any applicable preferred qualifications that you meet.
Closing Statement:
Informed by its Catholic and Marianist mission, the University is committed to the dignity of every human being. Informed by this commitment, we seek to increase diversity in all of its forms, achieve fair outcomes, and model inclusion across our campus community. The University is committed to policies of affirmative action designed to increase the employment opportunities of individuals with disabilities and protected veterans in compliance with the Rehabilitation Act of 1973 and Vietnam Era Veterans' Readjustment Assistance Act of 1973.
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