SRE DevOps / Platform Engineer (AWS)

We are:

Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact.

With the right people and the right ideas, there’s no limit to what we can achieve.

Are you a fit?

We are looking for an experienced DevOps / Platform Engineer to help build, operate, and continuously improve our cloud infrastructure, CI/CD systems, and company-wide DevOps and TechOps capabilities.

In this role, you will leverage AI-assisted development tools, coding agents, and intelligent automation to enhance infrastructure engineering, accelerate software delivery, and improve operational efficiency. You will bring deep expertise in AWS, Infrastructure as Code, automation, and cloud-native technologies, while establishing secure, scalable, and highly reliable systems that support both traditional and AI-powered applications.

You will collaborate with Engineering, Data, Security, and business teams to improve developer experience, strengthen operational excellence, and drive continuous improvement across the organization.

Key Responsibilities

Champion AI-first engineering practices by leveraging AI coding agents, intelligent automation, and AI-enabled workflows to streamline infrastructure management, CI/CD, incident response, and corporate technology operations.

Design, build, and maintain highly available and scalable AWS infrastructure, including ECS/EC2, Lambda, API Gateway, CloudFront, Route 53, and supporting cloud services.

Modernize CI/CD pipelines using GitHub Actions, reusable workflows, automated testing, security controls, and reliable deployment and rollback strategies.

Establish secure and repeatable software delivery practices that improve developer productivity, deployment velocity, and operational consistency.

Drive Infrastructure as Code (IaC) best practices using Terraform, including reusable modules, testing, versioning, and safe deployment patterns.

Build and maintain containerized and serverless application delivery systems using Docker, AWS services, and modern automation tools.

Develop infrastructure and CI/CD capabilities to support AI-enabled applications, including secure model and API integrations, automated evaluation workflows, observability, and deployment controls.

Leverage AI-assisted development tools and coding agents to improve infrastructure engineering, troubleshooting, automation, and operational efficiency.

Design and maintain corporate IT/TechOps systems, including identity and access management, SSO, SaaS administration, endpoint management, and employee technology lifecycle workflows.

Automate company-wide technology operations, including provisioning, employee onboarding and offboarding, access reviews, and recurring IT processes.

Provide advanced technical support and maintain reliable corporate technology environments.

Define and continuously improve monitoring, alerting, dashboards, and logging using Datadog or similar observability platforms.

Analyze operational data to identify opportunities to improve system reliability, performance, security, and cloud cost efficiency.

Lead incident response, root cause analysis, postmortems, and long-term corrective actions across production and corporate technology systems.

Apply security-first practices across infrastructure, IAM, networking, software delivery, and corporate systems to support compliance with ISO 27001, SOC 2, HIPAA, and other applicable regulatory requirements.

Collaborate with Engineering, Data, Security, and business teams to deliver scalable solutions, enhance developer experience, and reduce operational complexity.

Promote knowledge sharing through technical documentation, automation, playbooks, architectural discussions, and continuo