Mid-Level DevOps Engineer - HTS Data Derivation
A Role with Purpose and Impact
We are seeking a Mid-Level DevOps Engineer to support our federal client, focused on modernizing the Harmonized Tariff Schedule of the United States (HTS). This role requires building and operating a secure, reliable pipeline to ingest, transform, validate, and deliver complex structured datasets. The senior DevOps engineer will own the infrastructure, automation, and security that make high-volume, high-accuracy data delivery possible, which includes support for LLM-assisted quality validation workflows.
As a DevOps Engineer, you will:
- Design, build, and maintain CI/CD pipelines that automate ingestion, transformation, and packaging of HTS datasets
- Design, implement, and maintain cloud-based infrastructure for data processing in AWS GovCloud.
- Work with the architect to manage the cloud infrastructure supporting data processing workloads, document storage, and LLM-based validation tooling.
- Support the OCR and PDF extraction pipeline infrastructure for digitizing historical HTS publications.
- Build monitoring, alerting, and logging capabilities to track pipeline health, data processing status, and deliverable readiness.
- Implement automated testing and validation for data pipelines.
- Coincide with trade analysts and the project manager to ensure infrastructure supports delivery milestones as per project requirements
- Promote DevOps best practices, including infrastructure-as-code, version control, and automation.
- Document systems, architecture, and operational procedures
Required Qualifications
- Bachelor’s or master’s degree in computer science or Engineering
- 4+ years of experience in DevOps, SRE, or platform engineering roles.
- Strong experience with cloud platforms (AWS, Azure, or GCP).
- Proficiency in scripting languages such as Python, Bash, or PowerShell.
- Hands-on experience with CI/CD tools (GitHub Actions, Jenkins, Azure DevOps, GitLab CI).
- Experience with containers (Docker) and orchestration (Kubernetes).
- Knowledge of infrastructure-as-code (Terraform, Bicep, or similar).
- Hands-on experience designing, operating, and maintaining versioned data engineering and machine learning pipelines, with an emphasis on reproducibility, lineage, and controlled releases.
- Demonstrated experience implementing monitoring and evaluation frameworks for LLM-based systems, tracking output quality, operational cost, and latency.
Preferred Qualifications
- Experience working with HTS or Trade Data pipelines
- Strong Python skills with a focus on data processing, transformation, and pipeline development
- Familiarity with workflow management tools (Nextflow, Snakemake, WDL/Cromwell).
- Understanding of Trade data formats (CSV, Excel, or JSON formats)
- Experience with big data technologies (Spark, Hadoop) or distributed computing.
- Knowledge of data storage solutions for large datasets (object storage, distributed file systems).
- Experience with HPC schedulers (SLURM, PBS, LSF).
Pay
Our estimated salary range for this position is $90,000-$130,000. This presented salary range is not a guarantee of compensation or salary. Offered salary is based on education, experience, geographic location, and possibly contractual requirements as appropriate to the role. *Salary could fall outside of this range.
About Us
Dev Technology is a growing IT company with an employee-centric culture that works on mission-critical projects for the federal government. We partner with our federal customers to deliver technology services and solutions, and to drive our client’s missions forward through innovation. We use Agile and DevSecOps principles to provide services including application development, biometrics and identity management, cloud and infrastructure optimization, IT and legacy modernization, and data management.
Equal Opportunity Employer
Dev Technology Group operates in the following states: AL, AR, AZ, CO, DC, FL, GA, ID, IL, IN, MD, MA, ME, MI, MN, MO, MS, NC, NJ, OH, OR, PA, SC, TN, TX, VA, WV.
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