Systems Solution Engineer - Remote

Full-time
Remote within US
$100-120/yr

Job description

Systems Solution Engineer 

Located in EST, preferably the Virginia/Washington DC area


About the job

Company Description is an orchestration leader for the AI enabled era, leveraging the power of open source and Kafka to help companies deliver business value quickly.

Role Description The Systems Solution Engineer role is a full-time, mostly remote position focused on designing and implementing systems for federal customers. In this role, you will work with engineering teams to leverage and modernize legacy systems to provide lower cost, improved performance, and higher business value. Day-to-day responsibilities include working with product managers and existing infrastructure to develop and implement modern solutions on the platform. This position offers the opportunity to work closely with distributed systems and open-source technologies while helping customers effectively adopt Business-as-Code. This role will report 1-4 times a month for in person meetings in the Washington DC area.

Qualifications

5+ years of Software Development experience

5-8 years of experience in Backend/Systems engineering

Familiarity with Docker, Kubernetes, gRPC, HTTP, TLS and Kafka.

Candidates should possess strong Systems Engineering and Systems Design skills, with experience building and scaling distributed systems or cloud-native platforms.

Possess hands-on System Administration skills, including managing servers, containers, networks, and related infrastructure in Linux or similar environments.

Have advanced Troubleshooting skills to investigate complex system issues, perform root-cause analysis, and implement long-term fixes.

Have Technical Support capabilities, including responding to incidents, collaborating with development teams, and communicating clearly with technical stakeholders.

Experience with cloud platforms (e.g., AWS, GCP, Azure), infrastructure-as-code tools, monitoring/observability stacks, and CI/CD pipelines is highly beneficial.

Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience in systems engineering and operations.

Ability to work effectively in a remote, distributed team environment, with strong communication, documentation, and collaboration skills.

Familiarity with open-source software, microservices architectures, and event-driven or workflow orchestration systems is a plus.


More information

Minimum education level

Bachelor's

Experience level

Expert and leadership (8+years)

Job skills

Systems Architecture

Solution Design

Requirements Analysis

Systems Integration

Cloud Platforms

Network Engineering

Technical Documentation

Company overview

company-logo
RSA TECH GROUP

IT System Custom Software Development·201-1,000 employees

RSA Tech is an AI-native engineering partner that helps the world’s leading brands architect the Cognitive Enterprise. By unifying AI models, automation, data platforms, and cloud infrastructure into one intelligent fabric, RSA Tech enables organizations to accelerate innovation, modernize legacy platforms, and launch AI-powered products and experiences at speed. RSA Tech’s product portfolio spans six core solution suites: Cognitive Strategy, Neural Interfaces, Intelligent Products, Adaptive Ecosystems, Predictive Fabrics, and Applied Intelligence. These products blueprint autonomous enterprises, power immersive and adaptive digital experiences, engineer generative AI–infused software, build self-healing and auto-scaling infrastructure, unify siloed data into intelligent meshes for real-time insights, and operationalize machine learning to solve complex business challenges at scale. ​ Enterprises across technology, financial services, healthcare, retail, transportation, workforce technologies, manufacturing, energy, media, insurance, telecom, and education partner with RSA Tech for its cognitive data ecosystems, 24/7 neural operations, algorithmic governance, and proprietary accelerators such as pre-trained industry models and “Generative Pods” that can reduce engineering cycles by up to 40%. With autonomous, self-healing cloud architectures and a strong focus on explainable, compliant AI, RSA Tech is crafting the neural infrastructure of tomorrow’s intelligent enterprises.