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Remote Ran Optimization Engineer Jobs in Virginia

QCi

Job Title: Software Engineer, Full Stack Location: Remote Division: Technology Department ... P-hard optimization problems. The Company's portfolio offers unique capabilities in high ...

SAIC

Network Engineer Level 5

Arlington, VA · Remote

$160K - $200K/yr

... Remote Work: ORA_HYBRID Description SAIC is seeking a seasoned Network Engineer to join our Network Team. You will be responsible for the architecture, design, deployment, and optimization of our ...

Ad Hoc

Staff DevOps Engineer

Mclean, VA · Remote

$53.25 - $73/hr

Staff DevOps Engineer Job Number: 840 This is a remote position. Ad Hoc is a technology company ... Support cloud migration efforts, infrastructure modernization, and platform optimization ...

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Remote Ran Optimization Engineer information

What is the difference between Remote Ran Optimization Engineer vs Radio Network Optimization Engineer?

AspectRemote Ran Optimization EngineerRadio Network Optimization Engineer
CredentialsTypically requires a degree in telecommunications, certifications like Nokia, Ericsson, or vendor-specific trainingSimilar credentials, often with certifications in radio network design and optimization
Work EnvironmentPrimarily remote, collaborating with teams across locations, using remote toolsUsually onsite or hybrid, with field visits for testing and adjustments
Industry UsageCommon in telecom providers, network vendors, and remote service providersUsed in telecom companies, network operators, and infrastructure firms

Both roles focus on optimizing radio networks, but the Remote Ran Optimization Engineer emphasizes remote work and virtual collaboration, while the Radio Network Optimization Engineer may involve more onsite activities. Both require similar technical skills and certifications, with the main difference being the work environment.

What are the most commonly searched types of Ran Optimization Engineer jobs in Virginia?

The most popular types of Ran Optimization Engineer jobs in Virginia are:

What are popular job titles related to Remote Ran Optimization Engineer jobs in Virginia?

For Remote Ran Optimization Engineer jobs in Virginia, the most frequently searched job titles are:

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The top searched job categories for Remote Ran Optimization Engineer jobs in Virginia are:

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Cities in Virginia with the most Remote Ran Optimization Engineer job openings:

Remote Ran Optimization Engineer jobs near you
Infographic showing various Remote Ran Optimization Engineer job openings in Virginia as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution.

Remote DevOps Engineer (Kafka/Kong)

Richmond, VA • Remote

Pennant Solutions Group
Recruiting and Staffing Services • 1 - 10 employees
Learn more about Pennant Solutions Groupexternal

$52.25 - $71.50/hr

Contractor

Re-posted 20 days ago

Key responsibilities

  • Deploy, configure, and maintain Kafka clusters to ensure high availability, reliability, and performance.

  • Implement monitoring, alerting, and performance testing to identify and address issues with Kafka clusters.

  • Design and implement high-availability strategies, disaster recovery plans, and security measures for Kafka environments.

Job description

Senior Kafka Administrator/Kong Administrator with DevOps Experience
Remote-Contract to Hire

Our client is seeking a skilled and experienced Senior Kafka/Kong Administrator to join our client's IT operations team. As a Kafka/Kong Administrator, you will be responsible for the deployment, configuration, maintenance, and monitoring of our Kafka clusters and Kong gateways, ensuring the high availability, reliability, and optimal performance of our real-time platforms. Your role will be crucial in supporting our data engineering and application teams to deliver seamless data integration and processing.
Responsibilities: Kafka Administration
1. Cluster Deployment and Configuration:
  • Deploy and configure Kafka clusters following best practices for scalability, security, and performance.
  • Collaborate with cross-functional teams to gather requirements and design Kafka infrastructure to meet data streaming needs.
  • Manage topics, partitions, replication factors, and broker configurations to ensure efficient data distribution and fault tolerance.
2. Monitoring and Performance Optimization:
  • Implement monitoring and alerting solutions to proactively identify and address performance bottlenecks, resource constraints, and anomalies.
  • Conduct regular performance testing, load testing, and capacity planning to ensure clusters can handle anticipated workloads.
3. High Availability and Disaster Recovery:
  • Design and implement high-availability strategies, including failover mechanisms and data replication across multiple data centers or cloud regions.
  • Develop and maintain disaster recovery plans and procedures to minimize data loss and downtime in the event of failures.
4. Security and Compliance:
  • Implement and manage security measures such as encryption, authentication, and authorization to ensure data privacy and compliance with industry standards.
  • Stay updated on security vulnerabilities and patches, applying necessary updates to maintain a secure Kafka environment.
5. Troubleshooting and Issue Resolution:
  • Diagnose and resolve Kafka-related issues, including performance degradation, data loss, and connectivity problems.
  • Collaborate with development and data engineering teams to troubleshoot consumer/producer application integration with Kafka.
6. Documentation and Knowledge Sharing:
  • Maintain thorough documentation of Kafka configurations, deployment processes, and troubleshooting procedures.
  • Provide training and knowledge sharing sessions to junior team members and other stakeholders.
7. Collaboration and Communication:
  • Collaborate with cross-functional teams, including data engineers, developers, and system administrators, to ensure smooth integration of Kafka into our data ecosystem.
  • Communicate effectively with stakeholders to provide updates on Kafka performance, maintenance, and improvements.
8. Certification as a Confluent Certified Administrator for Apache Kafka (CCAAK) preferred.
Responsibilities: Kong Administration
  • Hands on experience installing and configuring Kong API Gateway as well as integration with existing API frameworks.
  • Describe and configure dataplane security using RBAC, Roles, Workspaces and Teams
  • Configure upstreams and load balancing
  • Create Services, Routes, and Consumers
2. Experienced in the Kubernetes platform
  • Working knowledge of Kong Ingress with Kubernetes\Dockers
3. Excellent knowledge of API design standards, patterns, and best practices especially with OpenAPI 2.0, REST, JSON, XML.
4. Troubleshoot problems on Kong Gateway
  • Distinguish between downstream and upstream networking issues
  • Collecting troubleshooting/debug information
  • Using log files and health and traffic metrics
5. Deep understanding of JWTs and their usage.
6. Preferred certification in Kong Gateway Certified Associate (KGCA)
7. 5+ years of experience with monitoring and troubleshooting. Should be able to monitor and debug platform or application issues.
  • Use Kong Vitals to monitor Kong Gateway’s health and performance
  • Pull metrics using Vitals API

Qualifications:
  • Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent work experience).
  • 5+ years of hands-on experience in administering Apache Kafka clusters in production environments.
  • 5+ years proficiency in Kafka/Kong architecture, installation, configuration, and tuning.
  • Strong understanding of Kafka internals, including topics, partitions, replication, and consumer/producer APIs.
  • 5+ years of experience with Kafka ecosystem tools such as Kafka Connect, Kafka Streams, and Schema Registry.
  • Knowledge of Linux systems and shell scripting.
  • Strong DevOps background.
  • 5+ years of familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization (e.g., Docker, Kubernetes) 
  • Excellent problem-solving skills and the ability to troubleshoot complex issues efficiently.
  • Strong communication skills and the ability to work collaboratively in a team environment.