Role: Agentic Development Platform Engineer
Remote
6 Month Contract to Hire
Only on W2
Top Skills - Must Haves
- devops
- cloud
- kubernetes
- python
- terraform
Top Skills' Details
1. Agentic AI Development
Claude Code
MCP (Model Context Protocol)
Skills, subagents, prompts, hooks
Multi-agent workflow orchestration
AI-assisted software development
2. Software Engineering
Python and/or TypeScript
Production application development
API development
Ability to work across unfamiliar codebases
Strong coding and troubleshooting skills
3. Platform Engineering / DevOps
CI/CD pipelines
GitLab automation
Terraform / Infrastructure as Code
AWS cloud environments
Observability (Prometheus, Grafana, OpenTelemetry)
Security, IAM, and compliance
Secondary Skills - Nice to Haves
Job Description
The Agentic Development Platform Engineer will design, build, and optimize an AI-powered development platform that enables engineering teams to use agentic coding tools and multi-agent workflows. This role bridges software engineering, platform engineering, DevOps, and AI automation to improve software delivery, governance, and compliance in a cloud-native environment. You will work closely with highly technical teams to enhance developer productivity, implement robust automation, and ensure secure, compliant, and observable systems across the platform.
Responsibilities
- Design and build multi-agent development workflows and orchestration systems that support AI-assisted software delivery.
- Develop and maintain AI engineering platforms that leverage agentic coding tools, including model context protocols, prompts, skills, hooks, and subagents.
- Create, implement, and refine evaluation frameworks for AI-generated code, workflows, and overall engineering efficiency.
- Build, manage, and optimize CI/CD pipelines and automation frameworks to support reliable, repeatable software delivery.
- Develop and maintain Infrastructure as Code solutions using tools such as Terraform or CloudFormation for scalable and maintainable cloud environments.
- Implement observability, tracing, monitoring, and cost controls across agentic workflows using modern monitoring and telemetry tools.
- Ensure platform and workflows comply with SOC 2, FedRAMP, HIPAA, and other relevant regulatory and security best practices.
- Apply strong security principles, including IAM, secrets management, and least-privilege access, across the platform and development workflows.
- Partner closely with engineering teams to identify bottlenecks and improve developer productivity through AI-enabled tooling and automation.
- Contribute directly to software development efforts using Python, TypeScript, and cloud-native technologies.
- Collaborate with cross-functional stakeholders to align platform capabilities with organizational goals and public safety initiatives.
- Produce clear, thorough documentation for platform architecture, workflows, and operational procedures to support maintainability and knowledge sharing.
- Continuously identify opportunities to experiment, innovate, and improve the development platform, tooling, and engineering practices.
Essential Skills
- Hands-on experience with agentic AI development, including model context protocols, skills, subagents, prompts, and hooks.
- Strong Python and/or TypeScript development skills, including experience with production application and API development.
- Proven ability to work across unfamiliar codebases and quickly understand complex systems.
- Experience building and maintaining CI/CD pipelines and automation, preferably using GitLab.
- Practical experience with Infrastructure as Code, such as Terraform or CloudFormation, to manage cloud resources.
- AWS cloud experience, including deploying and operating applications in AWS environments.
- Knowledge and experience with monitoring, observability, and tracing tools, including OpenTelemetry and similar technologies.
- Security expertise in IAM, secrets management, and least-privilege access models.
- Experience working in regulated environments such as SOC 2, FedRAMP, and HIPAA, with an understanding of related compliance requirements.
- Strong documentation and written communication skills to clearly describe architectures, workflows, and processes.
- Ability to automate and improve developer workflows through tooling, scripting, and process optimization.
Additional Skills and Qualifications
- Experience with Docker and Kubernetes for containerization and orchestration.
- Background in DevOps or platform engineering with a focus on developer experience and productivity.
- Familiarity with AI-assisted software development practices and tools.
- Experience implementing cost monitoring and optimization for cloud and AI workloads.
- Comfort collaborating with highly technical engineering teams in a fast-evolving technology landscape.
- Ability to operate in mission-driven, regulated environments where reliability, security, and compliance are critical.
