Software Platform Engineer (2026-0249)

Acclaim Technical Services; Chantilly (VA); On-site; USD 120,000 - 180,000; Full time

Job summary

Acclaim Technical Services (ATS), founded in 2000, is a leading provider of tech-enabled solutions supporting U.S. Federal agencies. As an ESOP company, ATS emphasizes ownership and long-term growth within a collaborative, employee-focused culture.

The role focuses on designing cloud-native data and AI infrastructure on AWS, building MLOps pipelines, and maintaining scalable platforms. You will work with data engineers, ML engineers, and software developers to advance our AI capabilities and

Qualifications

• 8+ years of related software development experience.
• Hands-on experience with Python or JavaScript.
• Strong AWS experience with EC2, EKS, S3, Lambda, SageMaker, Bedrock, EMR, and IAM.

Responsibilities

• Design and develop cloud-native data and AI infrastructure platforms on AWS using IaC 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.

Skills

Python

JavaScript

Linux

Education

Bachelor’s Degree in Computer Science, Electrical or Computer Engineering

Tools

Elasticsearch

MongoDB

Docker

Kubernetes

RabbitMQ

NiFi

Terraform

CloudFormation

Ansible

Jenkins

Github Actions

Job description

Acclaim Technical Services,founded in 2000, is a leading language, operations, and technology services company supporting a wide range of U.S. Federal agencies. We are an Employee Stock Ownership Plan (ESOP) company, which is uncommon within our business sector. We see this as a significant strength, and it shows: ATS is consistently ranked as a top workplace among DC area firms and continues to grow.

KEY 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
• 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

EDUCATION AND EXPERIENCE

• 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.

REQUIRED QUALIFICATIONS

• 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

Acclaim Technical Services (ATS), founded in 2000, is a premier provider of tech-enabled solutions and operational services to a broad range of U.S. Federal agencies. As an Employee Stock Ownership Plan (ESOP) company- an uncommon advantage in our sector - we foster a culture of ownership, accountability, and shared success. This commitment to our people shows: ATS is consistently recognized as a top workplace in the DC area and continues to experience strong, strategic growth.

Salary Transparency: There are many factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employee owners value the flexibility at ATS that allows them to balance quality work and their personal lives. We offer competitive compensation, career growth, benefits and learning and development opportunities. Our broad mix of exceptional benefits options is designed to support and protect employees and their families. At ATS, you will be eligible to participate in a comprehensive benefits package such as healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more at Employee Resources

EQUAL EMPLOYMENT OPPORTUNITY (EEO) STATEMENT: ATS is committed to a program of equal employment opportunity without regard to race, color, ethnicity, national origin, ancestry, citizenship, sex, pregnancy, marital status, sexual orientation, age, religion/creed, hairstyles and hair textures, handicap/disability, genetic information/history, military/veteran status, or any other characteristic or condition protected by applicable law. We support the employment and advancement in employment of individuals with disabilities and of protected veterans, and we treat qualified individuals without discrimination on the basis of their physical or mental disability or veteran status.