Cloud Developer - Senior (AWS)

Location: Primarily remote, with occasional on-site requirements at the CJIS facility in Clarksburg, West Virginia. Core hours are 9:00 AM–4:00 PM ET, with potential weekend or non-business-hours maintenance and on-call support requiring a response within one hour.

Company

hirify.global provides information technology services and supports secure cloud and data infrastructure initiatives.

What you will do

• Design, deploy, and maintain domain-specific data products for a Data Mesh architecture.
• Build scalable ETL pipelines with AWS S3, Redshift, Glue, Lake Formation, and Lambda.
• Automate cloud infrastructure deployments with Ansible, Packer, and AWS CloudFormation.
• Build CI/CD pipelines and monitor cloud and data infrastructure using CloudWatch, CloudTrail, Splunk, Prometheus, and Grafana.
• Apply cloud security, data governance, privacy, access-control, metadata, and lineage practices.
• Collaborate with product owners, product managers, and data domain teams in a SAFe Agile environment; document delivery in Jira and Confluence and lead data mesh training.

Requirements

• Active Secret clearance or above required.
• 7+ years of AWS cloud development experience focused on data engineering and DevOps.
• Expertise with AWS data services, ETL pipelines, Data Mesh architecture, and decentralized data management.
• Strong data governance knowledge, including privacy, access controls, lineage, metadata management, and governance tooling.
• Advanced scripting skills in Python, Shell, or Java; experience with IaC and CI/CD tools.
• Experience with cloud monitoring, logging, security practices, SAFe Agile, Scrum or Kanban, Jira, and Confluence.

Nice to have

• Experience with Docker, Kubernetes, or ECS.
• Familiarity with RESTful API development for data integration and interoperability.
• Bachelor’s degree in Computer Science, Information Technology, or a related field.

Culture & Benefits

• Primarily remote work with occasional on-site attendance for equipment pickup or meetings.
• Participation in SAFe Agile ceremonies and cross-functional collaboration with data domain teams.
• Opportunity to lead training and support organizational adoption of data mesh and self-service analytics.
• On-call support may be required during weekends or outside standard business hours.