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Realtime Solutions Group Jobs (NOW HIRING)

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Drone Mission Solutions Engineer

Costa Mesa, CA · On-site

$146 - $194/hr

... realtime, 3D command and control center. As the world enters an era of strategic competition ... About the Team The Tactical Recon & Strike team at Anduril develops aerial small drones (Group 1-3) ...

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ECI Group

DevOps Engineer (Contract)

Houston, TX · On-site

ECI Group is seeking a DevOps Engineer to join their Professional Technical Services Network. This ... of Realtime Market Data distribution platforms, individual Feedhandlers and Enterprise level ...

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How much do realtime solutions group jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for realtime solutions group in the United States is $52.05, according to ZipRecruiter salary data. Most workers in this role earn between $34.38 and $68.99 per hour, depending on experience, location, and employer.

What is Realtime Solutions Group?

Realtime Solutions Group is typically a company or team specializing in providing technology-driven solutions that require immediate or near-instantaneous processing and response times. They often develop and implement systems for industries such as finance, telecommunications, logistics, or broadcasting, where real-time data handling is critical. Their services may include custom software development, systems integration, and consulting to help businesses achieve high-performance, low-latency operations. The expertise of such a group can help organizations respond quickly to changing conditions, improve efficiency, and maintain a competitive edge.

What are some common challenges faced by professionals working in a Realtime Solutions Group, and how can these be addressed?

Professionals in a Real-Time Solutions Group often face challenges such as managing high-pressure situations, ensuring system reliability, and responding quickly to operational issues. These roles typically require rapid problem-solving skills, strong collaboration with IT and operations teams, and the ability to adapt to evolving technologies. Building a solid foundation in real-time data processing, staying current with industry trends, and maintaining clear communication channels can help address these challenges effectively.

What are the key skills and qualifications needed to thrive as a Realtime Solutions Group professional, and why are they important?

To thrive as a professional in a Realtime Solutions Group, you generally need expertise in real-time systems, problem-solving abilities, and a relevant technical degree such as computer science or engineering. Familiarity with real-time operating systems (RTOS), programming languages like C/C++, and industry certifications (e.g., in networking or cloud platforms) is often required. Strong communication, teamwork, and adaptability are essential soft skills for effectively collaborating on complex projects. These skills enable professionals to deliver reliable, high-performance solutions that meet critical business needs in time-sensitive environments.

What is the difference between Realtime Solutions Group vs Network Operations Center Technician?

AspectRealtime Solutions GroupNetwork Operations Center Technician
Required CredentialsIT certifications (e.g., Cisco, CompTIA)IT certifications (e.g., Cisco, CompTIA)
Work EnvironmentProject-based, client sites, or remote24/7 monitoring centers, on-site or remote
Employer & Industry UsageIT service providers, telecom, tech firmsTelecom companies, ISPs, large enterprises
Common Search & ComparisonYesYes

While both roles require IT certifications and involve network-related work, Realtime Solutions Group typically focuses on project-based solutions and client-specific deployments, whereas Network Operations Center Technicians monitor and maintain network systems in a centralized environment. Understanding these differences helps job seekers identify the right career path in the tech industry.

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Realtime Solutions Group jobs near you
Infographic showing various Realtime Solutions Group job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, 8% Part Time, and 6% Contract. Highlights an 75% Physical, 3% Hybrid, and 22% Remote job distribution, with an average salary of $108,258 per year, or $52 per hour.

Staff Software Engineer, Batch and Realtime Streaming

The Voleon Group

Berkeley, CA • On-site, Remote

$315K - $405K/yr

Full-time

Re-posted 3 days ago

Job description

Voleon is a technology company that applies state-of-the-art machine learning techniques to real-world problems in finance. For more than a decade, we have led our industry and worked at the frontier of applying machine learning to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future.
As a Senior Software Engineer on the Batch and Realtime Streaming team, you will play a pivotal role in architecting, developing, and maintaining Voleon's Batch and Realtime Streaming platform-the essential data backbone that powers our machine learning research and production trading systems. You will collaborate closely with researchers and finance professionals to design high-performance interfaces and tools that streamline feature productization, discovery, access, and management. This is an opportunity to make a significant impact at the intersection of cutting-edge technology and quantitative finance.
Your Team
We seek exceptional individuals who are driven by curiosity and a passion for tackling complex problems through innovation and solid engineering principles. At Voleon, you'll join a collaborative culture where creative ideas are encouraged, experimentation is celebrated, and efficient execution is valued.
You'll work shoulder-to-shoulder with seasoned engineers who've joined us from top technology firms and leading academic institutions. Together, you'll partner with world-class machine learning researchers, including internationally recognized leaders in artificial intelligence and machine learning, as well as accomplished professionals in both finance and technology.
Beyond our vibrant and intellectually stimulating environment, we offer highly competitive compensation and benefits packages, regular technology talks led by our in-house experts, a state-of-the-art modern office, daily catered lunches, and much more.
Responsibilities
  • Architect, design, and implement core components for a Batch and Realtime Streaming platform, including data ingestion pipelines, storage systems, serving layers, and API interfaces
  • Ship new features by collaborating across research, legal, trading, finance operations data, and infra teams for trading systems
  • Collaborate with ML researchers and data scientists to understand their workflows and design intuitive interfaces (APIs, SDKs, UIs) for seamless feature discovery, access, and reuse
  • Ensure data quality, consistency, and lineage for features, building robust mechanisms for versioning, monitoring, and governance
  • Optimize data pipelines and storage for high performance, scalability, and reliability, considering both batch and real-time use cases
  • Drive adoption of the feature store across teams by producing documentation, onboarding materials, and developer support
  • Mentor junior engineers and contribute to team best practices and technical excellence

Requirements
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent experience)
  • 10+ years of software engineering experience, with a strong background in distributed computing and data infrastructure
  • Experience in programming languages such as Python and Go
  • Understanding of database technologies (Postgres, MySQL, Cassandra, DuckDB) and experience with APIs (REST/gRPC)
  • Strong problem-solving skills, with a focus on delivering high-quality, maintainable, and well-documented solutions
  • Excellent communication and collaboration skills; ability to work closely with both engineering and research teams

Preferred Qualifications
  • Experience building large-scale data pipelines and storage systems (e.g., Airflow, Spark, Ray, Iceberg, etc)
  • Exposure to modern Python data science tooling. (pandas, polars, dask, duckdb, etc)
  • Experience with monitoring and observability tools for distributed systems (e.g., Prometheus, Grafana, ELK Stack)
  • Prior experience working with feature stores (e.g., Feast, Hopsworks, or custom solutions) is highly desirable

"Friends of Voleon" Candidate Referral Program
If you have a great candidate in mind for this role and would like to have the potential to earn $15,000 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms and conditions please make sure to review the Voleon Referral Bonus Program.
Equal Opportunity Employer
The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
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About Voleon Group

Sourced by ZipRecruiter

Industry

Investment management and consulting services

Company size

11 - 50 Employees

Headquarters location

Berkeley, CA, US

Year founded

2007

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