Mid-Level DevOps Engineer - HTS Data Derivation

DEV TECH INC.
Washington, United States of America
19 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 130K

Job location

Remote
Washington, United States of America

Tech stack

Microsoft Excel
Amazon Web Services (AWS)
Automation of Tests
Azure
Bash
Big Data
Cloud Computing
Continuous Integration
Information Engineering
DevOps
Distributed File Systems
Document Management Systems
Distributed Systems
Github
Hadoop
JSON
Python
Powershell
Workflow Management Systems
Data Logging
Data Processing
Scripting (Bash/Python/Go/Ruby)
Data Storage Technologies
Cloud Platform System
Large Language Models
Spark
Gitlab-ci
Kubernetes
Information Technology
Low Latency
Bicep
Slurm
Machine Learning Operations
Data Delivery
Terraform
Software Version Control
Data Pipelines
Docker
Jenkins

Job description

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., * 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

Requirements

Do you have experience in Validation design?, * 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., * 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).

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.

Benefits & conditions

4.54.5 out of 5 stars Washington, DC Hybrid work $90,000 - $130,000 a year, Pulled from the full job description

  • Paid training
  • Tuition reimbursement
  • Health insurance
  • 401(k) matching
  • Vision insurance
  • 401(k) 5% Match
  • Dental insurance, As a Washington Post Top Workplace award winner for the past THIRTEEN years in a row, the Top Workplaces USA for the past five years, and a recipient of the Companies As Responsive Employers (CARE) Award for the past six years, Dev Technology employees enjoy:
  • 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
  • To learn more about working at Dev Technology, visit Working At Dev Technology Group

About the company

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.

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