Senior TechOps Engineer (DevOps / Platform)

Our Vision for Engineering

At QIMA, we expect AI agents to take on a growing share of implementation work: coding, integration, and quality assurance. Engineers remain accountable for review, release, and production outcomes, and focus on what creates lasting business value: deciding which capabilities to build next, defining sound architecture, managing technical debt, and stewarding data and security across the stack. We are investing in the environment, standards, and platforms that make this way of working real.

Your role in the TechOps team

Agents are only as good as the platform they build on and run on. The TechOps team owns that platform: the infrastructure, paved roads, runtime, guardrails, and observability that let engineers and agents ship fast, safely, and with a full audit trail. This is much more than DevOps. As a senior member of high-ownership TechOps team, you will:

Build and own the platform:

• Take direct ownership of significant parts of QIMA's core infrastructure and shape it into the engineering platform that delivers our business solutions and operations applications, including our internal AI platform and shared services layer

• Architect and evolve CI/CD pipelines and the shared app stack (ingress, monitoring, alerting, backup) using GitOps practices

• Design and implement infrastructure as code across our cloud, network, and edge/security layers, balancing short-term delivery with long-term scalability

Enable engineers and agents:

• Design self-service paths to production (templates, golden paths, developer tooling) so that product and operations teams can ship business applications quickly, safely, and at scale

• Build the AI agent platform: the hosting, context, tool access, guardrails, and evaluation that let agents deliver CI/CD, infrastructure as code, and self-service tasks end to end, with human oversight where it matters

• Extend the platform to data and ML/AI workloads (DataOps, MLOps), so pipelines, models, and agents are built, deployed, and monitored to the same standards as application code

Run it reliably and securely:

• Join the biweekly on-call rotation, leading incident response and root cause analysis on production issues

• Use coding assistants and agentic workflows daily, and embed AI-driven automation into how we deploy, monitor, and operate the platform

• Keep the platform secure and auditable by default: secrets, access, logging, and compliance with QIMA quality and security standards, for people and for agents

Shape direction and raise the bar:

• Bring outside perspective and industry best practices to the team, and actively challenge existing patterns where they can be improved