Senior Python Developer

OSC Global

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

Posted 9/18/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Python software development, AI/ML model integration, and automation of complex workflows, with a strong focus on cybersecurity compliance and operational impact. Proven ability to mentor teams, communicate technical concepts, and manage production AI capabilities in restricted environments.

Highest-signal resume keywords

Python Software DevelopmentAI/ML Model IntegrationCybersecurity ComplianceWorkflow AutomationProduction AI Capabilities

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Hard Skills

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

Soft Skills

CommunicationMentoringCollaborationTechnical JudgmentProblem-Solving

Tools & Technologies

Microsoft OfficeAzure OpenAIAWS BedrockOpenAI APIsGoogle Vertex AI

Certifications & Qualifications

Active Secret or Top-Secret Security Clearance

Industry Keywords

DISA STIGsCORADoDCybersecurity Compliance FrameworksAir-Gapped Environments

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 for use within Optica and validate cybersecurity content and mappings
Automate complex manual product and cybersecurity workflows using AI, including document ingestion, 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
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 review, automated testing, documentation, observability, secure development, and production support
Exercise senior 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 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 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, and twist at the waist occasionally
Ability to reach below shoulder height regularly and at or above shoulder height occasionally
Ability to push, pull, carry, and lift objects weighing up to 10 pounds regularly and greater weights occasionally
Preferred: Active Secret or Top-Secret security clearance
Preferred: Experience with DISA STIGs, SCAP content, or comparable cybersecurity compliance frameworks
Preferred: Experience in DoD or federal operating environments, including restricted, air-gapped, disconnected, or accreditation-controlled networks
Preferred: Experience with RAG, embeddings, vector databases, structured outputs, tool/function calling, document parsing, information extraction, agentic or multi-step workflows, and evaluation frameworks
Preferred: Experience deploying and optimizing local or self-hosted models, including model serving, quantization, GPU/CPU trade-offs, or inference optimization
Preferred: Experience with cloud AI platforms or hosted model services such as Azure OpenAI, AWS Bedrock, OpenAI APIs, or Google Vertex AI
Preferred: Experience with model/version management, evaluation pipelines, experiment tracking, monitoring, quality controls, and production governance
Preferred: Experience leading development teams
Preferred: Experience contributing to enterprise dashboards and full-stack web applications
Preferred: Familiarity with RMF, CORA, and DoW cybersecurity assessment and authorization processes
Preferred: Experience supporting a commercial or GOTS product through 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