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Added 1 min ago
Senior Software Engineer - Identity Resolution
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…and resolve identities across large and diverse datasets. The engineer will work on both large-scale distributed data-processing workloads and high-performance application services,…
Added 1 min ago
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Added 1 min ago
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…outcomes for our clients. Depending on the role, employees may use data, automation, artificial intelligence, and other digital tools to support research, analysis, engineering and design…
Added 4 mins ago
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Acclaim Technical Services

Software Platform Engineer (2026-0249)

Chantilly,, VA, United States

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Job details

Apply by: Feb 2, 2027
Experience: 8+ years of related software development experience.
Posting language: English
Posted: Nov 4, 2026

Original 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.

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.

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.

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More about this job

Skills

ATS
AWS
Infrastructure as code
Troubleshoot
Process improvement
Computer science
Computer engineering
Software development
Programming languages
Python
JavaScript
Elasticsearch
MongoDB
Docker
Kubernetes
RabbitMQ
EMR
Identity and access management
DevOps
IBM Terraform
Ansible
Automation technology
Jenkins
GitHub
Linux
Prometheus
Grafana
ML

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