Cloud Solutions Architect - SME

at  Pendulum LLC

JOB DESCRIPTION

Clearance Level: Top Secret/SCI with Full Scope Polygraph

Skill Level(s): Subject Matter Expert

• Organization oversight, support managing the Organization’s technical program, scope, schedule, budget, risks, and communication
• work within and across Agile teams to design, develop, test, implement, and support technical solutions, including innovation efforts for modernization and evolution of core infrastructure, platform, and data lake house.
• create customer-facing dashboard presentations and maintain system requirements, development process documentation, and monitor report generation and delivery.
• provide recommendations for cybersecurity and IT operations enhancements, and identify solutions and tools for an efficient, streamlined, scalable approach while maintaining high-quality service.
• collaborate with in-house development teams to; construct and implement feature enhancements to Organization Analytic platform with a UI/UX mindset; integrate external systems with Organization platform; and develop, implement, and maintain a data lake house against Organization requirements.
• integrate Organization datasets with corporate machine learning tooling.
• develop, implement, and maintain solutions that allow Organization platform users to quickly understand and gain value against massive data sets.

REQUIRED SKILLS

Clearance Level: Top Secret/SCI with Full Scope Polygraph
Skill Level(s): Subject Matter Expert

The Candidate shall have the following required skills, certifications and demonstrated experience:

• cybersecurity, IT systems, and A&A processes.
• facilitation across multi-contractor and staff teams,
• collaborating with project teams or multiple entities to define project requirements and acceptance criteria.
• monitoring project progress, identifying roadblocks, and implementing mitigation strategies.
• designing, building, and maintaining data pipelines for data ingestion, processing, and transformation.
• collaborating with data scientists and analysts to ensure data quality and accessibility.
• building and implementing data governance policies and procedures for data integrity and security.
• design, implementation, and management of secure andscalable cloud infrastructure solutions.
• implementation and management of infrastructure-as-code solutions and collaboration with development teams.
• implementation of Cl/CD pipelines and automation of infrastructure provisioning, application deployment, and system monitoring.
• envisioning and delivering solutions to business problems leveraging machine learning techniques, to include: model training and development; full lifecycle model management.
• technical architecture expertise, including systems integration and technical leadership.
• proficiency in complex multi-network and security enclave environments.

Highly Desired Skills

Skills and demonstrated experiences that are highly desired but not required to perform the work include:

• championing SecDevOps best practices for collaboration, efficiency, and quality.
• deploying and managing solutions utilizing retrieval augmented generation techniques.
• big data processing and analysis tools such as Splunk, SOAR, NiFi, or Crib!.
• data visualization and data lake house technologies.
• AWS environment networking, security, logging, administration, and provisioning.
• Organization’s accreditation and security, including security controls,

system hardening, and compliance requirements.

• data transfer tools such as NiFi or CribI.
• creating ad-hoc scripts in Python and JSON.
• troubleshooting network connections or scanning.
• JIRA or another ticketing system for task tracking.
• familiarity with DevOps lifecycle and ability to coordinate requirements with development teams.
• Agile and Scrum methodologies for software development.
• technical proficiency in Linux system administration and DevOps tools.
• software engineering, cloud computing, data management, and system integration
• machine learning frameworks such as TensorFlow, PyTorch, and deploying models in cloud environments (SageMaker)
• data engineering and feature engineering for big data processing and machine learning algorithms.
• understanding cloud platforms (AWS, OCI, Azure, or GCP) and best practices for cloud-based services and security.
• Organization’s technology, mission, and business systems, as well as architectural vision.

Education: Bachelor’s Degree in Information Technology or related discipline or equivalent combination of education and work experience.
Employment Type: Full Time
Workplace Type: On-Site

Please refer the Job description for details