TechTorchDevOps Multicloud
About TechTorch
TechTorch is a high-growth enterprise technology consultancy that partners with the world’s leading private equity-backed businesses. We deliver AI-powered solutions, accelerators, and data-driven transformation initiatives that drive measurable value at speed and scale.
Our mission is to redefine enterprise technology consulting for private equity. We combine the agility of a scale-up with the discipline and rigor demanded by the most sophisticated investors and operators.
TechTorch was founded by seasoned leaders - including former Bain consultants, CIOs, and tech executives - with deep expertise in technology, transformation, and value creation. We are not a typical startup. We were built to succeed and to deliver results that matter.
About the Team
TechTorch engineering teams build and operate modern, cloud-native platforms that power digital products, data-driven operations, and AI-enabled workflows. We work primarily across AWS, with increasing exposure to Azure and GCP, alongside Salesforce, integration middleware, and enterprise systems.
We deliver secure, resilient, and production-grade platforms for PE-backed clients operating in complex and often regulated environments.
About the Role
As a DevOps Engineer (AWS-First, Multi-Cloud), you will own the cloud foundation, delivery pipelines, security controls, observability, and operational readiness across modern enterprise platforms.
You will work primarily in AWS, while supporting or integrating with Azure and GCP environments where required, ensuring platforms are secure, scalable, and production-ready from day one.
This role is highly hands-on and sits at the intersection of cloud infrastructure, security, and engineering delivery. You will collaborate closely with backend, frontend, and solution architecture teams to support reliable launches and long-term platform stability.
What You’ll Do
Design and implement cloud infrastructure primarily on AWS, including networking, security, runtime, data, and logging layers
Support and integrate with Azure and GCP environments where part of broader enterprise architectures
Build and maintain CI/CD pipelines for:
Application deployments (frontend and backend)
Serverless and container-based services
Infrastructure-as-Code promotion across environments using Terraform
Define environment strategy (dev / stage / prod), release workflows, and deployment safety mechanisms (rollback, blue/green)
Implement security and compliance guardrails (encryption, secrets management, IAM, audit logging, WAF/edge security)
Own observability and SLO readiness (monitoring, alerting, tracing, log aggregation, synthetic checks)
Support connectivity and operational patterns across enterprise systems, APIs, and third-party integrations
Partner with architects and engineers on capacity planning, performance optimization, cost control, and incident response
Who You Are
5+ years of experience in DevOps, SRE, or Cloud Engineering roles
Strong hands-on experience with AWS as a primary cloud platform
Exposure to or working knowledge of Azure and/or GCP in multi-cloud environments
Deep understanding of AWS services including IAM, VPC, API Gateway, Lambda, CloudFront, WAF, CloudWatch, S3, Secrets Manager, and KMS
Proven experience with Infrastructure as Code (Terraform preferred)
Experience building CI/CD pipelines (GitHub Actions or similar) with secure deployment practices
Security-first mindset (least privilege, key management, secure networking, auditability)
Comfortable operating in fast-paced, high-ownership environments
Nice to Have
Experience running serverless platforms at scale (Step Functions, EventBridge, SQS)
Exposure to multi-cloud architectures and interoperability patterns
Experience in regulated environments (e.g., healthcare, finance)
Experience supporting complex enterprise integrations
Our Values
Client First — We focus relentlessly on delivering outcomes that create value for our clients
We, Not Me — We win together. Collaboration drives transformation at scale
Get Stuff Done — We execute with speed and precision — because in PE, time matters
AI First — We embed AI at the core, enabling scalable, high-leverage solutions
Own It — We take accountability for results, delivering on what we promise
Agile Mindset — We adapt quickly and proactively seek better ways to move forward
What We Offer
Ownership of cloud foundations across mission-critical enterprise platforms
Exposure to AWS-first environments with multi-cloud (Azure/GCP) integration
High-impact role focused on security, reliability, and production excellence
Global, collaborative engineering culture
Flexible, remote-first working model