Senior Python Developer

OSC Global

. Drive continued development of Optica Security, OSC EdgeTech’s DISA APL-listed STIG compliance and CORA readiness platform .

Posted 10/26/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Python software development, AI/ML model integration, and cybersecurity compliance, with a strong focus on automating complex workflows and ensuring STIG compliance in restricted environments.

Highest-signal resume keywords

Python Software DevelopmentAI/ML Model IntegrationCybersecurity ComplianceWorkflow AutomationSTIG Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Python ProgrammingAI/ML TechniquesData PreparationModel TrainingModel ValidationModel AdaptationWorkflow AutomationDocument ProcessingData ExtractionCybersecurity Technologies

Soft Skills

Technical JudgmentMentoringCollaborationCommunicationProblem-Solving

Tools & Technologies

Microsoft OfficeAzure OpenAIAWS BedrockOpenAI APIsGoogle Vertex AI

Certifications & Qualifications

Active Secret Security ClearanceTop-Secret Security Clearance

Industry Keywords

DISA STIGsSCAP ContentCORADoD Software DevelopmentCybersecurity Assessment

Tech Stack

Tools & technologies

AWSAzureCloudCyber SecurityDistributed SystemsPythonGo

About the role

Key responsibilities & impact

Drive continued development of Optica Security, OSC EdgeTech’s DISA APL-listed STIG compliance and CORA readiness platform
Design, develop, test, and optimize Python-based scanning capabilities for large, segmented, and federated network environments, including restricted government environments
Design and implement production AI capabilities using local/self-hosted models and cloud-hosted AI services
Develop and operationalize AI-assisted ingestion and interpretation of new and revised DISA STIGs
Structure STIG requirements, manage organizational parameters, and validate cybersecurity content and mappings
Automate complex product and cybersecurity workflows involving document ingestion, structured data extraction, classification, transformation, validation, exception handling, and human-in-the-loop review
Establish measurable quality, throughput, accuracy, and cycle-time outcomes for automated workflows
Integrate and manage local/self-hosted models for disconnected or air-gapped environments and cloud model APIs and managed AI platforms
Build maintainable model abstractions and orchestration patterns based on mission environment and technical requirements
Support the AI/ML model lifecycle through dataset preparation, model selection, evaluation, prompt and retrieval design, fine-tuning or other adaptation, inference optimization, validation, and production monitoring
Expand Optica cybersecurity content coverage to applications, databases, application servers, middleware, and other software layers
Plan and execute development through deployment, stabilization, and resolution of customer findings
Communicate status, risks, technical trade-offs, and dependencies to product leadership
Contribute to architecture, code reviews, automated testing, documentation, observability, secure development, and production support
Exercise independent technical judgment and inform architecture and prioritization decisions
Mentor developers and raise engineering standards
Collaborate with architecture, dashboard, cybersecurity content, product, and customer-facing teams
Perform other duties as assigned

Requirements

What you’ll need

Bachelor’s degree in computer science, software engineering, data science, AI/ML, or a related field; additional relevant professional experience may be considered in lieu of a degree
Eight or more years of relevant experience, including at least four years of professional Python software development experience
Experience designing and delivering production Python software
Experience designing, developing, and deploying AI-enabled software in production, including architecture, integration, testing, validation, and operations
Experience integrating local, self-hosted AI or LLM models and/or cloud-hosted AI services or model APIs
Experience applying AI/ML techniques, including data preparation, model training, validation, evaluation, inference, model selection, and model adaptation
Experience with AI-driven automation of complex business, engineering, or analytical workflows with measurable operational impact
Experience developing distributed data-collection or similar systems, including performance, reliability, concurrency, and deployment at scale across segmented or federated network environments
Must be able to pass pre-employment background screening
Must have ability to obtain and maintain a security clearance
Must be a U.S. citizen
Ability to travel up to 10%
Knowledge of software engineering principles, Python development, network architectures, cybersecurity technologies, and regulatory or compliance requirements
Knowledge of dataset preparation, model training concepts, validation, evaluation, inference, model selection, and model adaptation techniques such as fine-tuning
Strong understanding of prompting, retrieval-augmented generation, fine-tuning, or other approaches
Knowledge of workflow automation, intelligent document processing, data extraction, validation methodologies, and human-in-the-loop review processes
Knowledge of operational trade-offs among local inference, managed cloud models, security boundaries, latency, cost, model capability, and disconnected or restricted deployment environments
Proficiency using Microsoft Office products such as Word, Excel, and PowerPoint, and industry-standard computer software and databases
Sufficient fine motor skills for computer use and extended repetitive keyboarding
Ability to work in confined rack spaces
Ability to kneel, bend, twist, reach, push, pull, carry, and lift objects as specified
Preferred: Active Secret or Top-Secret security clearance
Preferred: Application of DISA STIGs, SCAP content, or comparable cybersecurity compliance frameworks
Preferred: DoD or federal software development in restricted, air-gapped, disconnected, or accreditation-controlled networks
Preferred: RAG, embeddings, vector databases, structured outputs, tool/function calling, document parsing, information extraction, agentic or multi-step workflows, and evaluation frameworks
Preferred: Local or self-hosted model deployment and inference optimization
Preferred: Cloud AI platforms or hosted model services such as Azure OpenAI, AWS Bedrock, OpenAI APIs, or Google Vertex AI
Preferred: Model/version management, evaluation pipelines, experiment tracking, monitoring, quality controls, and production governance
Preferred: Development team leadership, task assignment, architecture and code reviews, mentoring, and stakeholder coordination
Preferred: Enterprise dashboards and full-stack web applications
Preferred: RMF, CORA, and DoW cybersecurity assessment and authorization processes
Preferred: Government evaluation, APL listing, accreditation, or comparable authorization activities
Preferred: Production experience using Go for endpoint agents, scanners, network services, security tooling, or distributed systems

Benefits

Comp & perks

Paid holidays
Paid time off
401K with employer match
Dental insurance
Vision insurance
Health insurance plans
Life benefits
Disability benefits
Reasonable accommodations according to applicable state and federal laws