DevOps / Platform Engineer (Agent Deployment & CI/CD)

What project we have for you

Our customer is a multinational corporation with more than a century of history and offices in over 180 countries. Their most ambitious goal at the time is to introduce a range of Reduced-Risk Products (RRPs). The target audience is more than 1 billion consumers around the globe. IT platform hosts 700+ applications.

Intellia’s mission is to help the client with the engineering of a comprehensive software ecosystem for a game-changing IoT product on the margin of innovative consumer experience and cutting-edge technology. Our teams are involved in the engineering of core platform components for best-in-class eCommerce, Digital Marketing and IoT solutions. As a DevOps engineer, you will become a part of Core Architecture Team and be responsible for the architecture, implementation of best practices in our Digital Engineering Enterprise Platform.

The Platform is a set of services and internet applications that accelerate the development and delivery of software applications by taking care of common SDLC challenges. The Platform provides access and consumption for engineering teams to a set of services, technologies, practices for their development and for operating their application, ensuring a set of compliance and best practices.

Project is in production for 2+ years, being supported by multiple teams.

Our technical domains are:

– AWS cloud, partially Azure

– SSO, Organizations, Service control policies, access models.

– IAAC: terraform enterprise, terratest, chalice

– Serverless: lambda, step functions, wide range of misc automations, fargate

– System, Application, Network and security architectures

– Orchecstration: k8s (eks)

– SRE activities (logging, tracing, monitoring), OpsGenie, Splunk

– Hashicorp Vault

– Hybrid Networking

What you will do

• Build and optimize Docker multi-stage builds for Python-based agent workloads
• Manage Python packaging and dependencies (pyproject.toml, uv, lockfiles)
• Design and maintain CI/CD pipelines (GitHub Actions) for AI workloads
• Implement end-to-end deployment flows: test → build → ECR push → runtime deployment
• Deploy and manage workloads on EKS and/or AgentCore Runtime
• Configure and use AgentCore CLI and deployment configs (agentcore.json, aws-targets.json)
• Ensure secure container image management, including ECR push and vulnerability scanning
• Collaborate with engineering teams to improve deployment reliability and developer experience
• Support infrastructure-as-code practices and platform standardization

What you need for this

• Docker multi-stage builds for Python agent workloads

• uv package manager (pyproject.toml, lockfiles)

• AWS AgentCore CLI + agentcore.json / aws-targets.json deployment config

• GitHub Actions CI/CD for AI workloads

• EKS / AgentCore Runtime deployment targets

• ECR image push and container security scanning

Experience:

• 5+ years DevOps or platform engineering

• Deployed containerised Python AI workloads to AWS (ECS or EKS)

• CI/CD pipeline design: test → build → ECR push → AgentCore Runtime deploy

• Infrastructure-as-code at team scale

Will be a plus:

• AWS AgentCore CLI and agentcore.json deployment patterns

• Experience packaging and publishing internal Python SDKs or libraries

• Observability tooling (OpenTelemetry, CloudWatch, Prometheus)