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Low Latency Developer Jobs in Georgia (NOW HIRING)

Ditto

$128K - $260K/yr

Our mission is to make it seamless for developers to build resilient, real-time applications ... enables reliable, low-latency peer-to-peer communication between devices-even when they're ...

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Machine Learning Platform Engineer

Atlanta, GA · On-site +1

$155K - $185K/yr

Build automation to deploy low-latency services that serve model inferences in milliseconds. You ... with a focus on developer experience. You will champion best practices for model deployment ...

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Staff Machine Learning Engineer

Atlanta, GA · On-site +1

$220K - $280K/yr

Steer the design and deployment of low-latency services to serve model inferences in milliseconds ... Feature Engineering & Data Strategy: Partner with Data Science to build scalable logging and data ...

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Data Platform Engineer

Atlanta, GA · On-site +1

$145K - $175K/yr

Build platform for deploying low-latency services to pipe data for streaming or near real time use ... Platform Engineering, with a proven track record of deploying and maintaining scalable Data ...

ImagineX Consulting

Senior GoLang Developer

Atlanta, GA · On-site +1

$53.50 - $70.75/hr

Experience with high-throughput, low-latency systems. * Background in DevOps, infrastructure-as-code, or SRE practices. * Experience with Kafka, NATS, RabbitMQ, or similar messaging systems.

Axon

Staff Wireless Software Engineer

Atlanta, GA · On-site

Architect low-latency, high-reliability PTT and real-time voice transport systems * Develop ... Mentor engineers and set technical direction across projects What You Bring * 10+ years experience ...

TriOptus LLC

Machine Learning Engineer

Atlanta, GA · On-site

$85.92 - $130/hr

Candidates will work closely with cross-functional collaborators-including ML researchers, product managers, and platform engineers-to deliver scalable, reliable, and low-latency ML solutions. * This ...

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Low Latency Developer information

What are the key skills and qualifications needed to thrive as a low latency developer, and why are they important?

To thrive as a Low Latency Developer, you need strong programming skills in C++ or Java, deep knowledge of computer science fundamentals, and experience with high-frequency trading or real-time systems. Familiarity with performance profiling tools, network protocols, and low-latency messaging systems is typically required. Exceptional problem-solving abilities, meticulous attention to detail, and effective teamwork set top performers apart in this field. These skills are crucial for building robust, ultra-fast software that gives organizations a competitive advantage in time-sensitive environments.

What is a low latency developer?

A Low Latency Developer is a software engineer who specializes in designing and implementing systems that process data and execute tasks with minimal delay. These professionals often work in industries like finance, telecommunications, and gaming, where speed and efficiency are critical. Their responsibilities include optimizing code, reducing network and processing delays, and ensuring that applications meet strict timing requirements. They typically use programming languages like C++ or Java and work with real-time operating systems and high-performance networking technologies.

What is the difference between Low Latency Developer vs Network Engineer?

AspectLow Latency DeveloperNetwork Engineer
Primary FocusOptimizing software for minimal latency in trading, gaming, or real-time systemsDesigning, implementing, and maintaining network infrastructure and connectivity
Skills & CertificationsProgramming, C++, Python, knowledge of hardware accelerationNetworking protocols, Cisco certifications, routing, switching
Work EnvironmentSoftware development teams, financial firms, tech companiesData centers, ISPs, enterprise networks

While both roles require technical expertise, Low Latency Developers focus on software optimization to reduce response times, whereas Network Engineers work on building and maintaining the network infrastructure that supports such low-latency environments.

What are typical challenges faced by low latency developers when optimizing trading systems?

Low Latency Developers often face challenges such as minimizing network and processing delays, efficiently managing memory, and ensuring that code changes do not introduce bottlenecks. The role requires constant profiling and benchmarking to identify performance issues, as even microseconds can impact trading outcomes. Collaborating closely with infrastructure, network, and trading teams is essential to align software improvements with hardware capabilities and market requirements.
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What cities in Georgia are hiring for Low Latency Developer jobs? Cities in Georgia with the most Low Latency Developer job openings:
Low Latency Developer jobs near you

Real-Time Analytics Engineer (Flink, Kafka) - Q125

R2 Technologies Corporation

Alpharetta, GA • On-site

$111K - $134K/yr

Full-time

Medical, Retirement, PTO

Re-posted 4 days ago

Job description

Overview:
R2 Technologies Corporation (R2), headquartered in Alpharetta, GA, is a leading IT services provider specializing in Java, .NET, Big Data, Cloud Computing (AWS, GCP, Azure), Artificial Intelligence (AI), Machine Learning (ML), software development, project management, SAP, and enterprise resource planning (ERP). We empower clients-from startups to Fortune 1000 companies-with scalable, platform-based solutions and data-driven insights using modern cloud technologies. Our commitment to blending highly skilled talent with innovative productivity platforms ensures rapid delivery of business value, making us one of the most respected and trusted technology companies in the United States. At R2, we're passionate about driving operational excellence and competitive advantage for our clients through cutting-edge AI, ML, and cloud solutions. Join our team and help shape the future of technology innovation!
Real-Time Analytics Engineer (Flink, Kafka)
Location: Alpharetta, GA (willing to travel to client locations)
Employment Type: Full-Time (W2)
Role Overview
We are seeking a skilled Real-Time Analytics Engineer to build and manage real-time data processing systems using Apache Flink and Kafka. This role focuses on delivering event-driven analytics solutions with Python, Scala, or Java for low-latency insights.
Key Responsibilities
  • Develop real-time analytics pipelines using Apache Flink and Kafka for event-driven data processing.
  • Implement and optimize data workflows to support low-latency analytics and business intelligence.
  • Design Kafka-based event streaming systems to handle high-throughput data flows.
  • Write efficient code in Python, Scala, or Java to process and analyze streaming data.
  • Collaborate with data teams to integrate real-time analytics into broader data platforms.
  • Monitor and troubleshoot streaming pipelines to ensure performance and reliability in production.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
  • 3 years of experience as a Real-Time Analytics Engineer with a focus on Apache Flink and Kafka.
  • Proficiency in building event-driven systems for real-time analytics using Python, Scala, or Java.
  • Experience with Kafka for event streaming and its integration with analytics frameworks like Flink.
  • Strong understanding of real-time data processing and distributed systems design.

Preferred Qualifications
  • Familiarity with cloud-based streaming services like AWS Kinesis or GCP Dataflow for analytics workloads.
  • Exposure to advanced Flink features like stateful processing or complex event processing (CEP).
  • Knowledge of monitoring tools like Grafana for real-time analytics observability.

Compensation & Benefits
  • Competitive salary and comprehensive benefits package (healthcare, PTO, 401k).
  • Opportunities for professional growth and upskilling in AI and cloud technologies.

R2 Technologies Corporation is an equal opportunity employer and values diversity in the workplace.
Skills:
Apache Flink, Kafka, Event-Driven, Real-Time Analytics, Python, Scala, Java

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