Job Specifications
About the Role
We are 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, optimized for productivity, and aligned with our software delivery processes.
The consultant will act as the primary SME for Devin.ai, defining best practices, building governance frameworks, enabling teams, and accelerating the platform’s impact across the enterprise.
Key Responsibilities
1. Devin.ai Platform Setup & Integration
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.
2. Enterprise Architecture & Security
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.
3. Workflow Design & Process Enablement
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.
4. Change Management & Enablement
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.
6. Technical Leadership & Advisory
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.
Required Qualifications
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.
Preferred Qualifications
Experience implementing AI agents or autonomous coding tools.
Exposure to Devin.ai, GitHub Copilot, AWS CodeWhisperer, or similar tools.
Understanding of SDLC automation, IaC (Terraform), and DevSecOps practices.
Prior experience working with enterprise engineering transformation projects.
Certifications in cloud (AWS/Azure/GCP), DevOps, or AI tools
About the Company
An Organisation is only as good as its people. Recruiterthon is a boutique technology staffing & consulting firm located just outside of New York City, USA. We currently service some of the biggest names in technology, banking and financial services. We understand the commitment your organization makes when hiring new talent and take the time to understand your unique needs. We make a dedicated effort and focus on efficiently screening,assess and deliver only the best industry experts for your work flow. Email Us : tech@recr...
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