Mid-Level DevOps Engineer - HTS Data Derivation

Dev Technology • Reston, VA

12h • $90,000 - $130,000 • Hybrid

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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).

Responsibilities

• 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.
• Coordinate 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

Benefits

• Generous and flexible time-off policy
• Flexible work schedules and telework options, including remote work availability for eligible projects
• Career development opportunities including a mentorship program, technical and management training through Dev University, hands-on learning through DevLab, tuition reimbursement, and paid training opportunities
• Industry-leading benefits including a choice of two health plans that include dental and vision, flexible spending account, commuter benefits, life insurance, and more
• 401K matching with a 5% matching contribution
• Regular team and company social events including our annual party, happy hours, fitness challenges, and more
• A focus on community engagement including company wide support activities, employer match for donations, and time off for volunteer efforts

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Associate degree