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Remote Systems Engineer Jobs in Stockbridge, GA (NOW HIRING)

Prolego

GenAI Systems Developer

Atlanta, GA · Remote

$185K - $215K/yr

Prolego is seeking Gen AI Systems Developers to design, build, and customize cutting-edge AI ... You will work remotely in a remote-first environment alongside a highly skilled team of engineers ...

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All JobsSystems Engineer JobsRemote Systems Engineer JobsRemote Systems Engineer Jobs in Stockbridge, GA

Remote Systems Engineer information

See Stockbridge, GA salary details

$45.6K

$108.5K

$142.4K

How much do remote systems engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for remote systems engineer in Stockbridge, GA is $108,485.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,600.00 and $133,900.00 per year, depending on experience, location, and employer.

What does a remote systems engineer do?

The job of a remote systems engineer is to develop, test, and maintain a computer network system for a company. Your duties include implementing updates, handling technical issues (including connectivity issues and VPN setup), performing system administration tasks, documenting changes, preparing reports, and developing new infrastructure as needed. Your responsibilities as a remote systems engineer are to ensure the software system and network connectivity meet the needs of the business environment and provide user support. This is a work from home position that involves coordinating with IT and management.

What are the key skills and qualifications needed to thrive as a remote systems engineer, and why are they important?

A Remote Systems Engineer is an IT professional who designs, implements, manages, and maintains computer systems and networks for organizations while working from a remote location. They ensure that systems are reliable, secure, and perform optimally, often troubleshooting issues and deploying updates without being physically present onsite. Remote Systems Engineers typically use remote access tools to monitor systems, collaborate with teams, and provide technical support. Their work is essential for companies with distributed workforces or cloud-based infrastructure.

How does a remote systems engineer typically collaborate with on-site IT teams and other departments?

As a Remote Systems Engineer, you will frequently coordinate with on-site IT staff and cross-functional teams through virtual meetings, project management tools, and shared documentation. Effective communication and clear documentation are crucial, as you may not be physically present to troubleshoot or implement solutions. You can expect to rely heavily on remote access tools and cloud-based platforms to monitor, maintain, and update systems. Building strong relationships with team members and setting clear expectations helps ensure seamless collaboration and project success, even from a distance.
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What are the most commonly searched types of Systems Engineer jobs in Stockbridge, GA?

The most popular types of Systems Engineer jobs in Stockbridge, GA are:

What job categories do people searching Remote Systems Engineer jobs in Stockbridge, GA look for?

The top searched job categories for Remote Systems Engineer jobs in Stockbridge, GA are:

What cities near Stockbridge, GA are hiring for Remote Systems Engineer jobs?

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Remote Systems Engineer jobs near you
Infographic showing various Remote Systems Engineer job openings in Stockbridge, GA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 9% Part Time, 1% Temporary, 6% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $108,485 per year, or $52.2 per hour.

Software Engineer, Distributed Systems (Core)

Career Renew

Atlanta, GA • Remote

$180K - $320K/yr

Full-time

Re-posted 26 days ago

Job description

Career Renew is recruiting for one of its clients a Software Engineer, Distributed Systems (Core) - this is a fully remote role for US/Canada candidates. Salary range: 180-320K USD yearly plus benefits plus equity. Visa sponsorship available.

Our mission is to empower everyone to take action on their data. Hundreds of companies, including Autotrader, Calendly, Cars.com, Monday.com, and PetSmart, trust us to power their growth.


We pioneered the Composable Customer Data Platform (CDP), which lets companies use their own data warehouse to collect, prepare, and activate customer data for marketing personalization and business operations. Our new AI Decisioning platform goes a step further, allowing marketers to set goals and guardrails that AI agents can then use to personalize 1:1 customer interactions. Traditionally, only technical teams had the skills to access and use customer data. With us, every business user can deliver personalized customer experiences, optimize performance marketing, and move faster by leveraging data and AI across their organization.

We are looking for a distributed systems engineer to work on the systems that power the syncing engine our customers and other engineering teams rely on. This presents an exciting challenge where you can apply your expertise in distributed systems, performance optimization, and troubleshooting to push the boundaries of what is possible and meaningfully improve our ability to move massive amounts of customer data. This role also provides a unique opportunity to work on a multi-cloud and multi-region infrastructure that supports a global customer base.


We believe in enabling our engineers to do their best work for our customers by giving them extremely high levels of ownership and autonomy. This comes in different forms: you will own and deliver projects from start to finish, you will work directly with customers to solve their hardest scaling problems, and you will have a lot of influence over what we work on as a team and company.


Some of the problems we’ll be working on include:

  • Sync Speed: Customers want to sync a lot of data to important destinations like Facebook and Snapchat, which requires us to analyze every part of our syncing process and find where we can optimize to sync data more quickly

  • Streaming Syncing: We currently sync data from sources in batch only, but envision a world where we also do syncs in real-time and support streaming sources like webhooks and queues

  • Scalability and Reliability: As part of our rapid growth, we’re always evaluating current future bottlenecks in scaling and reliability, and architecting for the next order of magnitude of growth

  • Personalization API: Our Personalization API product provides a low latency caching layer on top of data warehouses that enable customers to use their data warehouse for real-time personalization use cases with <30ms p90 response times with QPS in the millions

  • Multi-Region and Multi-Cloud: Supporting our multi-region and multi-cloud backend, including extending it to launch our platform in new regions to support data residency requirements of our global customer base

Requirements:
7+ years of experience as a software engineer with a very high level of general aptitude and work in distributed systems (Mandatory)
Have been part of high velocity startup through high stages of growth, Series B - Series E (i.e Stripe, Kong, Semgrep) (Mandatory)
Staff level minimum with a history of getting promoted quickly at the listed companies. (Mandatory)
Have graduated from a top 30 CS program such as: University of Waterloo, Harvard, Columbia, Princeton, Stanford, UC Berkeley, MIT, CMU, CalTech, Cornell, Duke, Dartmouth, Brown, IITs (Mandatory)
Extremely strong in systems design fundamentals and understanding of how large scale distributed systems behave (Mandatory)
You’ve created event collection or data streaming services that power company critical systems ( work with message queues, Kafka, SQL databases, Kubernetes, Docker) (Mandatory)
You’ve owned systems that have undergone orders of magnitude of growth and helped them scale accordingly (Mandatory)
You’ve built data sync engines that process and move terabytes of data per day in a scalable way (Nice-to-have)
Work close to the infrastructure layer of code, someone who knows how even the tools (i.e. spark, flink, kafka) are built (Nice-to-have)
Extremely strong communication skills, and are a fast learner who is excited to take on the challenges we face (Mandatory)