About the job
About TechTorch
TechTorch is a rapidly growing enterprise technology consultancy that collaborates with premier private equity-backed organizations worldwide. Our focus is on delivering AI-driven solutions, accelerators, and data-centric transformation strategies that create significant value swiftly and effectively.
Our objective is to revolutionize enterprise technology consulting within the private equity sector. We blend the nimbleness of a scale-up with the meticulousness and precision expected by the most discerning investors and operators.
Founded by experienced leaders with backgrounds in Bain & Company, CIO roles, and technology management, TechTorch possesses extensive knowledge in technology, transformation, and value generation. We are not your typical startup; we are engineered for success and to produce impactful results.
About the Team
Our engineering teams at TechTorch design and manage cutting-edge, cloud-native platforms that fuel digital products, data-driven operations, and AI-integrated workflows. Our primary focus is on AWS, while also expanding our expertise in Azure and GCP, alongside Salesforce, integration middleware, and enterprise systems.
We provide secure, resilient, and production-ready platforms for our private equity clients, navigating complex and often regulated environments.
About the Role
As a DevOps Engineer (AWS-First, Multi-Cloud), you will take charge of the cloud infrastructure, delivery pipelines, security measures, observability, and operational readiness for modern enterprise platforms.
You will primarily work within AWS while also engaging with Azure and GCP environments as needed, ensuring platforms are secure, scalable, and production-ready from the outset.
This position is highly hands-on and lies at the convergence of cloud infrastructure, security, and engineering delivery. You will work in close collaboration with backend, frontend, and solution architecture teams to facilitate reliable launches and long-term platform stability.
What You’ll Do
Design and implement cloud infrastructure primarily on AWS, encompassing networking, security, runtime, data, and logging layers.
Support and integrate with Azure and GCP environments where they form part of broader enterprise architectures.
Build and maintain CI/CD pipelines to ensure seamless deployment and operational efficiency.
