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Linkedin Software Engineer Jobs in Virginia (NOW HIRING)

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Linkedin Software Engineer information

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$63K

$146.3K

$203.7K

How much do linkedin software engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for linkedin software engineer in Virginia is $146,258.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,000.00 and $171,500.00 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 job categories do people searching Linkedin Software Engineer jobs in Virginia look for? The top searched job categories for Linkedin Software Engineer jobs in Virginia are:
What cities in Virginia are hiring for Linkedin Software Engineer jobs? Cities in Virginia with the most Linkedin Software Engineer job openings:
Software Developer - Geospatial, GIS

Software Developer - Geospatial, GIS

Analytical Mechanics Associates

Hampton, VA • On-site, Remote

$72K - $90K/yr

Full-time

Medical, Dental, Vision, Retirement

This job post has expired today. Applications are no longer accepted.


Job description

Job Description:

AMA is looking for a Software Developer - Geospatial to support our growing Earth Science Analytics work. AMA's Earth Science Analytics team is focused on increasing the impact of Earth Observation satellite data around the globe, connecting users to data. For over a decade, AMA has been supporting the Committee on Earth Observation Satellites (CEOS, ceos.org) leveraging satellite data for societal benefit. As a partner, AMA also supports the Open Data Cube (ODC) initiative (opendatacube.org). The ODC is an open-source geospatial data management platform for managing satellite data. We are looking for experienced software developers to join our team and help solve global sustainable development problems.

This position will be located in Hampton, VA however remote work is also possible.

Salary range is $72,378-$90k

Responsibilities:

  • Develop and integrate LLM systems for use in geospatial analysis
  • Develop geospatial software solutions including applications which leverage the Open Data Cube (opendatacube.org). Develop solutions within the Amazon Web Services (AWS) ecosystem.
  • Develop Jupyter notebooks and web applications to support remote sensing analysis in various domains (including agriculture, water quality, urbanization).
  • Design, build, and evolve software solutions in a distributed team environment using source control and sound software engineering principles.
  • Work in a globally distributed, dynamic, highly collaborative environment with scientists and engineers

Desired Requirements:

  • BS (or higher) in Computer Science, GIS, Engineering, or related field
  • Experience with geospatial data management and analysis technologies: Python, Jupyter notebooks, web development, databases, cloud computing.
  • Experience using and deploying Large Language Model (LLM) systems
  • Demonstrated experience developing customer-focused software for analysis.
  • Experience developing geospatial software applications for remote sensing/GIS analysis.
  • Experience using Python and other programming languages. Experience performing data science with Jupyter notebooks. Experience with machine learning.
  • Knowledge of remote sensing concepts. Can work with and understand a wide range of geospatial data formats. Experience with optical/radar remote sensing datasets (including Landsat, Sentinel, etc.)
  • Experience with web development technologies, relational & non-relational databases in Unix/Linux environments.
  • Experience developing scaleable cloud-based solutions (AWS, Azure, Google).
  • Demonstrated competency in the use of software engineering principles applied to the entire SDLC.
  • Ability to travel domestically and/or internationally, interfacing with users and external clients

Analytical Mechanics Associates (AMA) is proud of our customer relationships, our diverse and dynamic work environment, and our employees' career satisfaction. AMA is a small business with a wide reach; headquartered in Hampton, VA, AMA has operations in Greenbelt, MD; Huntsville, AL; Dallas and Houston, TX; Denver, CO; Mountain View, CA; and Edwards Air Force Base, CA. With over 60 years of experience, AMA specializes in aerospace engineering, science, analytics, information technology, and visualization solutions. AMA combines the best of engineering, science, and mathematics capabilities with the latest in information technologies, visualization, and multimedia to build creative solutions. We offer competitive salaries and a substantial benefits package, including but not limited to paid personal and federally recognized holiday leave, salary deferrals into a 401(k)-matching plan with immediate vesting, tuition reimbursement, short/long term disability plans, and a variety of medical, dental, and vision insurance options.
AMA is committed to the professional growth of every employee, understanding that the successes of our employees drive our success. We provide a work environment that is engaging, collaborative, and supportive. To learn more about our company, please visit our website at www.ama-inc.com/careers and follow us on Facebook and LinkedIn.


AMA is an Equal Opportunity Employer and does not discriminate against any applicant for employment or employee because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic prohibited under federal, state, or local laws.