Software Platform Engineer (2026-0249)

Acclaim Technical Services•Chantilly, VA

About The Position

Acclaim Technical Services is hiring a Software Platform Engineer to design and develop scalable data and AI infrastructure platforms, or make significant enhancements to existing platforms. The role focuses on building cloud-native data platforms on AWS that support AI/ML infrastructure, business intelligence, analytics, and data products. The engineer will work hands-on with big data technologies and AI tooling to create robust solutions for large data sets and AI workloads, in an Agile environment with little supervision. The position emphasizes continuous improvement and innovation. The engineer will collaborate with data engineers, ML engineers, and software developers to sustain and advance organizational capabilities. Acclaim Technical Services is an Employee Stock Ownership Plan (ESOP) company that describes its culture as one of ownership, accountability, and shared success. The company offers competitive compensation, career growth, benefits, and learning and development opportunities. The job description does not specify salary or work location.

Requirements

Bachelor’s degree in Computer Science, Electrical or Computer Engineering, or a related technical discipline; alternatively, an equivalent combination of education, technical training, or work/military experience.
At least 8 years of related software development experience.
Hands-on experience with modern programming languages, including Python or JavaScript.
Hands-on experience with Elasticsearch, MongoDB, Docker, Kubernetes, RabbitMQ, and NiFi.
Strong AWS experience with EC2, EKS, S3, Lambda, SageMaker, Bedrock, EMR, and IAM.
DevOps experience building and deploying cloud infrastructure with technologies such as Terraform, CloudFormation, or Ansible.
Experience with build automation technologies such as Jenkins or GitHub Actions.
Experience with Linux.

Nice To Haves

Experience with monitoring technologies such as ELK, Prometheus, Grafana, or CloudWatch.
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.

Responsibilities

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.
Maintain, support, and enhance existing systems and platforms.
Troubleshoot complex problems and provide support for platform and infrastructure issues.
Recommend continuous improvements and integration of emerging AI technologies.
Work alongside data engineers, ML engineers, and software developers to sustain and advance the organization’s capabilities.