SRE DevOps / Platform Engineer (AWS)

wizeline; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Wizeline in the United States is seeking an experienced DevOps/Platform Engineer to build and run scalable cloud infrastructure and delivery pipelines for production and AI-enabled apps.

You will own AWS platform engineering, IaC, reliability, security, and employee tech operations, collaborating with engineering, data, security, and business teams to ship reliable software.

The role emphasizes observability, incident response, and automation to help teams deploy faster and with fewer incidents.

Qualifications

• Six or more years in DevOps, SRE, platform, or related production infrastructure roles.
• Hands-on AWS, IaC, automation, and cloud-native operations experience.
• Familiar with AI-assisted development tools and the infra needs of AI-enabled apps.
• Experience with observability platforms such as Datadog or equivalents.

Responsibilities

• Design and maintain scalable AWS infrastructure (compute, serverless, networking, CDN).
• Improve CI/CD pipelines with reusable workflows, automated checks, security controls, and dependable deployment and rollback practices.
• Create Terraform infrastructure, containerized and serverless delivery systems, and related automation.
• Use AI coding agents to improve infrastructure work, troubleshooting, incident response, and operational processes.
• Maintain monitoring, logging, alerting, and dashboards; investigate incidents and drive root-cause fixes.
• Support identity, access, SaaS, endpoint onboarding/offboarding with cross-team collaboration.

Skills

DevOps Experience

AWS

IaC

Automation

Observability

Incident Response

Tools

Datadog

Terraform

Kubernetes

EKS

Job description

Role overview

Build and operate cloud infrastructure, delivery pipelines, and internal technology services for production and AI-enabled applications. This role spans AWS platform engineering, infrastructure automation, reliability, security, and employee technology operations, with a focus on making systems dependable and improving how teams ship and support software.

Responsibilities

• Design and maintain scalable AWS infrastructure, including compute, serverless, networking, and content delivery services.
• Improve CI/CD pipelines with reusable workflows, automated checks, security controls, and dependable deployment and rollback practices.
• Create and maintain Terraform infrastructure, containerized and serverless delivery systems, and related automation.
• Use AI coding agents and automation to improve infrastructure work, troubleshooting, incident response, and operational processes.
• Maintain monitoring, logging, alerting, and dashboards; investigate incidents and drive root-cause fixes.
• Support identity, access, SaaS, endpoint, onboarding, and offboarding processes, while working with engineering, data, security, and business teams.

Requirements

• Six or more years in DevOps, SRE, platform, cloud, systems engineering, or a related production infrastructure role.
• Hands‑on AWS, Infrastructure as Code, automation, and cloud-native operations experience.
• Familiarity with AI‑assisted development tools and the infrastructure needs of AI‑enabled applications.
• Experience with observability platforms such as Datadog or equivalents.
• Strong understanding of distributed systems, Linux, networking, DNS, security, and autoscaling.
• Ability to debug complex systems, respond to incidents, work independently, and collaborate across teams.

Nice to have

Experience with AI or LLM applications, Kubernetes and EKS, identity and device management tools, cloud cost optimization, regulated industries, or software development. Familiarity with Snowflake, PostgreSQL, Redis, RabbitMQ, or Ruby-based applications is also useful.

Benefits and work setup

The role offers a flexible, collaborative environment, learning and career development opportunities, and competitive compensation and benefits. Specific benefits depend on location and employment type.