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Codebase Inc · 17 hours ago

Devin.ai Consultant (Enterprise AI Implementation Specialist)

United States

Contract

Remote

Senior Level

6+ years exp

Codebase Inc is seeking a highly skilled Devin.ai Consultant to lead the configuration, integration, and enterprise-grade adoption of Devin—an autonomous AI software engineering platform. This role involves working with engineering, DevOps, security, architecture, and business teams to ensure Devin is deployed securely and optimized for productivity.

Information Technology & Services

Growth Opportunities

Hiring Manager

Vulupala Naveen Reddy

Responsibilities

Lead the configuration and environment setup of Devin.ai in enterprise settings

Integrate Devin with existing developer tools:

GitHub

CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps, etc.)

Jira/ServiceNow

Internal code repositories and artefact stores

Configure access controls, role-based permissions, and secure networking

Work with architecture and cybersecurity teams to ensure:

Data security, compliance, and privacy alignment

Proper isolation of environments

Secure API usage and credential management

Create governance models for safe and responsible AI use

Define how Devin integrates into SDLC, DevOps, QA, and engineering workflows

Develop templates, SOPs, and best practices for:

Autonomous task execution

Code generation & review

Automated testing & deployment

Observability & quality checks

Enable multi-team adoption with operational readiness plans

Conduct enablement sessions, hands-on training, and workshops for engineering teams

Build documentation, user guides, and troubleshooting playbooks

Support early-stage pilots, use case discovery, and enterprise-scale rollout

Serve as the subject matter expert for AI-driven engineering workflows

Provide recommendations on scaling DevOps, platform engineering, and automated development using AI

Collaborate with product and engineering leaders on roadmap alignment

Qualification

Devin.aiCI/CD pipelinesCloud platformsContainerizationScripting PythonScripting BashScripting YAMLSecure codingAI copilotsEnterprise security standardsStakeholder managementCommunication skills

Required

6+ years of experience in Software Engineering, DevOps, MLOps, or Platform Engineering

Strong understanding of: LLM-based coding tools or AI copilots, CI/CD pipelines, Cloud platforms (AWS, Azure, GCP), Containerization (Docker, Kubernetes)

Hands-on experience integrating or configuring developer platforms

Familiarity with secure coding, enterprise security standards, and governance systems

Strong scripting knowledge (Python, Bash, YAML)

Excellent communication and stakeholder management skills