Cloud Developer- Senior

Intellect Solutions LLC; Clarksburg, Northern (WV, KY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Intellect Solutions LLC seeks a Senior Cloud Developer to design, implement, and maintain cloud-based data mesh infrastructure in support of CJIS Data Mesh. You will build scalable ETL pipelines with AWS services, automate deployments, and champion data governance across enterprise systems.

The role operates in a SAFe environment with cross-functional data domain teams, focusing on secure, self-service analytics and interoperable data products.

Qualifications

• 7+ years of experience in AWS cloud development with data engineering and DevOps focus.

Responsibilities

• Participate in SAFe Agile ceremonies to align development with objectives.
• Collaborate with product teams to refine backlog and governance standards.
• Design and deploy domain-specific data products with scalable storage and transformations.
• Develop and maintain ETL pipelines using AWS services (S3, Redshift, Glue, Lake Formation, Lambda).
• Implement Infrastructure as Code to automate deployments and ensure configuration consistency.
• Build and maintain CI/CD pipelines to enable rapid cloud software delivery.
• Monitor and troubleshoot cloud/data infrastructure using CloudWatch, CloudTrail, Splunk, Prometheus, Grafana.
• Enforce cloud security best practices, including encryption, MFA, and AWS Security Hub integration.
• Maintain a data catalog for discoverability and lineage tracking across domains.
• Support reliability and high availability of Data Mesh software; lead training on governance models.

Skills

AWS data services

Data engineering

DevOps

Python scripting

IaC (Ansible, Packer, CloudFormation)

CI/CD

Monitoring & logging

Cloud security

SAFe Agile

Jira/Confluence

Training leadership

Education

Bachelor's degree in Computer Science/IT or related field

Tools

Ansible

Packer

CloudFormation

Docker

Kubernetes

Jenkins

Bamboo

Job description

Clearance Required:

ActiveSecret or above

Job Description:

Summary:

The Senior Cloud Developer will design, implement, and maintain cloud-based infrastructure to support the CJIS Division’s Data Mesh architecture, ensuring efficient, secure, and scalable data management across enterprise systems. This role focuses on developing robust Extract, Transform, Load (ETL) pipelines, automating deployments, managing AWS-native data services, and fostering data governance to enable self-service analytics and interoperability. The Senior Cloud Developer will collaborate within a SAFe Agile framework to deliver high-quality data products and support organizational adoption of data mesh principles.

Responsibilities:

• Participate in SAFe Agile ceremonies (Program Increment Planning, Sprint Planning, Daily Standups, Sprint Reviews, Retrospectives) to align development with strategic objectives.
• Collaborate with Product Owners, Product Managers, and data domain teams to refine and prioritize the product backlog, ensuring alignment with data mesh and governance standards.
• Design and deploy domain-specific data products, adhering to organizational standards for schema design, data transformations, and storage solutions.
• Develop and maintain scalable ETL pipelines using AWS services (e.g., S3, Redshift, Glue, Lake Formation, Lambda) to support self-service analytics and data domain requirements.
• Implement and manage Infrastructure as Code (IaC) using tools like Ansible, Packer, and AWS CloudFormation to automate cloud deployments and ensure configuration consistency.
• Build and maintain CI/CD pipelines using tools like Bambooto enable efficient software development and deployment in the cloud.
• Utilize monitoring and logging tools (e.g., AWS CloudWatch, CloudTrail, Splunk, Prometheus, Grafana) for proactive performance monitoring, anomaly detection, and troubleshooting of cloud and data infrastructure.
• Enforce cloud security best practices, including network security, data encryption, multi-factor authentication, and integration with AWS Security Hub, to protect sensitive data assets.
• Maintain a data catalog to enhance discoverability, lineage tracking, and usage transparency across domains.
• Support the operation, maintenance, and reliability of the organization’s Data Mesh software, ensuring high availability.
• Lead training initiatives for data stewards and users on data mesh principles, governance practices, and self-service analytics tools to drive cultural adoption.
• Document work in Jira (Epics, Features, User Stories) and Confluence, maintaining detailed backlogs and ensuring transparency in progress tracking.
• Ensure compliance with data governance standards, including data privacy, access controls, and lineage requirements, using governance tools to automate workflows.

Required Skills:

• 7+ years of experience in AWS cloud development, with a focus on data engineering and DevOps.
• Expertise in AWS data services, including S3, Redshift, Glue, Lake Formation, and Lambda, for building scalable ETL pipelines and data infrastructure.
• Strong knowledge of data governance, including data privacy, access controls, lineage, and metadata management, with experience using governance tools.
• Advanced scripting skills in languages such as Python, Shell, or Java for automation and data processing.
• Experience with IaC tools (e.g., Ansible, Packer, AWS CloudFormation) for automating cloud infrastructure deployments.
• Proficient in CI/CD pipelines using tools like Bamboo, Jenkins, or similar for efficient software delivery.
• Expertise in monitoring and logging tools (e.g., AWS CloudWatch, CloudTrail, Splunk, Prometheus, Grafana) for performance optimization and troubleshooting.
• Strong understanding of cloud security practices, including VPC configuration, data encryption, multi-factor authentication, and AWS Security Hub integration.
• Proven experience in SAFe Agile environments, using Scrum, Kanban, Jira, and Confluence for work management and documentation.
• Ability to lead training on data mesh principles, governance, and analytics tools for technical and non-technical stakeholders.
• Excellent collaboration and communication skills to work with cross-functional data domain teams and stakeholders.

Preferred Qualifications:

• Experience with containerization technologies (e.g., Docker, Kubernetes, ECS) for scalable data processing.
• Familiarity with RESTful API development for data integration and interoperability.
• Bachelor’s degree in Computer Science, Information Technology, or a related field.

Work Environment:

• Primarily remote, with occasional on-site requirements at the CJIS facility in Clarksburg, WV, for equipment pickup or meetings.
• Core hours: 9:00 AM–4:00 PM ET, with potential weekend/non-business hours for maintenance and on-call support (response within one hour).