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# Software Platform Engineer (2026-0249)

- **Company:** Acclaim Technical Services
- **Location:** Herndon, VA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Agile Methodology, Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Data Analysis, Computing Platforms, Build Automation, Big Data, Cloud Computing, Configuration Management, Computer Engineering, Data Files, Linux, DevOps, Elasticsearch, Github, Monitoring of Systems, Identity and Access Management, Python (Programming Language), MongoDB, Systems Development Life Cycle, RabbitMQ, Cloud Services, Ansible, Prometheus, Search Technologies, Software Engineering, Systems Integration, AI Infrastructure, Large Language Models, Grafana, Cloudformation, Kubernetes, Information Technology, Apache Nifi, Machine Learning Operations, Cloudwatch, Terraform, Docker, Jenkins, Programming Languages
- **Published:** November 5, 2026
- **Apply:** https://www.careerbuilder.com/job-details/software-platform-engineer-2026-0249-herndon-va--68f551e9-202a-4a36-9e5d-79c50ddd64ec

## About the Role

Software Engineering, Federal Government, Technical Operations, Business Intelligence, Scalable System Development, Agile Programming Methodologies, Data Sets, Cloud Computing, Continuous Improvement, Artificial Intelligence (AI), The Software / Platform Engineer will design and develop scalable data and AI infrastructure platforms or make significant enhancements to existing platforms. The ideal candidate is a hands-on engineer with significant experience in building cloud-native data platforms on AWS, with AI/ML infrastructure, business intelligence, analytics, and data products. They must have strong, firsthand technical expertise in big data technologies, AI tooling, and the proven ability to fashion robust solutions that can manage large data sets and AI workloads. They must be at ease working in an Agile environment with little supervision. This person should embody a passion for continuous improvement and innovation., * Bachelor's Degree in Computer Science, Electrical or Computer Engineering or a related technical discipline, or the equivalent combination of education, technical training, or work/military experience.

 * 8+ years of related software development experience., * Hands-on experience with modern programming languages including Python or JavaScript
 * Hands-on experience working with Elasticsearch, MongoDB, Docker, Kubernetes, RabbitMQ, and NiFi
 * Strong AWS experience with services including EC2, EKS, S3, Lambda, SageMaker, Bedrock, EMR, and IAM
 * DevOps experience building and deploying cloud infrastructure with technologies like Terraform, CloudFormation, Ansible, etc.
 * Experience with build automation technologies like, Jenkins, Github actions, etc.
 * Experience with Linux

DESIRED QUALIFICATIONS

 * We are looking for a candidate with hands-on experience and is familiar with one or more of the following software/tools:
 + Experience with monitoring technologies like ELK, Prometheus, Grafana, CloudWatch, etc.
 + Experience with AI/ML infrastructure including MLOps pipelines, vector databases, model deployment, and integration with LLM platforms
 * Experience with AI development tools and integrating AI-assisted development capabilities

## Description

* Design and develop cloud-native data and AI infrastructure platforms on AWS using Infrastructure-as-Code and configuration management technologies
 * Build and maintain MLOps pipelines and infrastructure for AI/ML workloads, LLM applications, and vector search capabilities
 * Provide ongoing maintenance, support, and enhancements in existing systems and platforms
 * Troubleshoot complex problems and provide support for platform and infrastructure issues
 * Provide recommendations for continuous improvement and integration of emerging AI technologies
 * Work alongside data engineers, ML engineers, and software developers to sustain and advance our organization's capabilities