AI-Native SDLC Engineer
OpenVPN Inc.
full-time
Posted on:
Location Type: Remote
Location: Spain
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Tech Stack
About the role
- Design and Implement CipherScale AI-Driven SDCL
- Architect and implement CipherScale’s AI-driven software development lifecycle
- Ensure the SDLC process remains structured, traceable, and reliable as automation increases
- Establish scalable patterns for AI-native development across the organization
- Design and implement automated engineering & QA workflows that connect product strategy, engineering execution, testing, and deployment
- Build systems that allow engineering processes to be triggered by structured inputs and outputs while ensuring workflows remain deterministic, reliable, and observable
- Implement mechanisms that prevent failure loops, race conditions, and cascading errors in automated systems
- Design and build agents that assist with engineering execution, validation, and quality control
- Integrate AI capabilities into development workflows while maintaining strict governance and traceability
- Develop reusable patterns for safely incorporating AI into engineering pipelines
- Continuously evaluate and improve the performance and reliability of workflows and agents
- Establish standards and safeguards that ensure workflows remain secure, auditable, and maintainable
- Implement automated validation mechanisms for engineering artifacts, code quality, and system consistency
- Ensure that teams can maintain control and oversight over automated processes and AI Agents
- Measure and optimize engineering cycle times, defect rates, and automation effectiveness
- Continuously refine systems based on feedback from engineering teams and production outcomes
- Ensure the platform evolves safely as automation and AI capabilities expand
- Work closely with engineering, product, QA, and IT operations teams to evolve development workflows
- Ensure teams can effectively and smoothly transition into an AI Native SDLC Workflow while embracing and collaborating with AI-native engineering systems
Requirements
- 7+ years in software engineering, with experience in Platform engineering, DevOps / CI/CD systems, Event-driven architectures
- Proven experience building GitHub advanced repository automations, Webhook-driven systems, and Automated PR workflows
- Strong experience with LLM-based systems (tool calling, structured outputs, schema validation), Multi-agent orchestration or workflow engines, OpenAI / Anthropic APIs in production systems
- Deep understanding of Idempotency, Race conditions, Escalation patterns, and Deterministic system design
- Experience implementing policy-as-code
- Strong familiarity with artifact-driven SDLC models
- Solid architectural judgment and production experience, and experience leading engineering transformations
Benefits
- Fully remote work environments
- Permanent employment with benefits
- Competitive pay rates
- A greenfield opportunity to build a fully AI-driven engineering organization
- Ownership of CipherScale’s AI-native execution layer
- Real authority to design and implement—not just advise
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
software engineeringplatform engineeringDevOpsCI/CDevent-driven architecturesGitHub advanced repository automationswebhook-driven systemsautomated PR workflowsLLM-based systemspolicy-as-code
Soft Skills
architectural judgmentleadershipcollaborationcommunicationproblem-solvingadaptabilitycontinuous improvementoversightfeedback incorporationteam transition support