Sr. Cloud Automation Engineer

With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility℠.

Job Summary

Primarily responsible for the driving Infrastructure automation leveraging Continuous Integration/Continuous Delivery (CI/CD) pipelines to deliver reliable enterprise infrastructure and application stack. Individual will help continue to mature our DevOps and IaC adoption journey. The cloud automation engineer ensures all supported systems are designed and engineered effectively leveraging well architected framework and cloud best practices. The Cloud Automation Engineer is a critical cross-domain expert driving speed to market, infrastructure reliability, cloud-adoption, automation, security, and optimization for the IT group.

Brief Description

• Drives automation, often through infrastructure-as-code leveraging with DevSecOps platforms and practices, and driving cloud adoption in a cost-optimal way

• The incumbent works towards the overall goals and objectives of the business, determines the functionality required to meet those needs and manages resources accordingly

• Evaluate, Acquire, Manage, maintain, and mature the DevSecOps and Infrastructure Automation platforms for the organization

• Working with EA, the Automation Engineer designs the technology strategy and solution recommendations applied to modern infrastructure engineering supporting the development teams and business. While adopting new technologies at Arch, the Automation engineer will often build a prototype and help educate the teams to accelerate adoption of cloud services

• Work closely with the engineering, architecture, and development teams to combine software and systems engineering to build and run cloud-native, DevOps delivered, highly scalable and fault tolerant systems and services.

• The Automation Engineer works with the operations team to automate repetitive tasks and harness monitoring and predictive alerting opportunities, identifying key measures and ensures adequate actionable metrics from them.

Responsibilities

• Drives Infrastructure as Code automation with Terraform, Terragrunt, etc. Ensures IaC modules are available across Arch, contributes to IaC and engineering efforts and outputs across Arch globally. Build automation to eliminate waste and manual/repetitive tasks, prevent problem recurrence, and drive adoption of automation across the organization

• Promotes a cloud-native culture evaluating, recommending, prototyping, and engineering cloud PaaS services, maintaining guidance and standards catalog for same, with an eye toward cost and performance optimization.

• Engineers and manages the DevOps/DevSecOps tools, pipeline, automation, and IaC scripts and continuously monitors the industry landscape to improve and expand to further speed to market and delivery team autonomy.

• Keeps abreast of new technologies, seeking opportunities to improve network and application performance and security, increasing service levels, and reducing operating expenses. Plans for timely delivery of new and updated technology to support development, deployment, and run, through Automation

• Provides guidance to engineering and operations teams on enabling and managing end to end availability and performance of mission critical services

• Builds and strengthens relationship and partnership with corporate infrastructure leads and teams

• Develops plans, document reference architectures and provides management oversight of implementing new technologies without service disruptions.  Promotes resilient and low/no-downtime infrastructure. Formulates and proposes long term plans to build, maintain and improve the IT infrastructure.

Knowledge and Skills

• Experience with Azure and AWS cloud platforms

• Experience with relevant technologies including infrastructure automation and configuration tooling (Terraform), Kubernetes environments (AKS/EKS), shared Github Actions libraries, and scripting (PowerShell, Bash, Python, YAML, etc.).

• Experience with DevOps (CI/CT/CD) tools (Github Actions, jFrog Artifactory, Sonar Cloud, ArgoCD and Harness).

• AI/ML Frameworks and Tools: Working knowledge of AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch) to understand AI/ML requirements, design & optimize deployment of various cloud services

• MLOps: Knowledge of MLOps principles and tools to streamline the ML model development and deployment process

• Ext