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 QIMAs 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 

• Act as a technical reference and informal mentor for other engineers raising the bar on code quality operational rigor automation and AI adoption 

• Be directly involved in shaping architecture decisions and technical direction for the team

Qualifications :

Were looking for genuine hands-on seniority - not just years on a CV: 

• 5 years of experience in DevOps Platform Engineering or SRE roles 

• Proven mastery of using AI to design and build a production-grade AI harness (agents tools context guardrails evaluation) that carries out tasks end to end. 

• Strong production-grade experience with AWS Terraform and Kubernetes/EKS 

• Proven track record architecting and operating CI/CD pipelines (ArgoCD Argo Workflow CircleCI and/or Jenkins) 

• Experience carrying on-call responsibility for mission-critical systems 

• Solid expertise with monitoring and observability tools such as Grafana ELK and/or OpenSearch 

• Strong Linux fundamentals and working knowledge of network security 

• Deep understanding of microservice application architecture in cloud environments 

• Experience with secrets management (Vault or equivalent) is a plus 

• Experience building internal platforms or developer tooling (self-service templates golden paths) used by other engineering teams is a plus 

• Comfortable questioning existing practices and proposing better ones backed by experience 

• Masters degree (Bac5) in Computer Science Engineering or a related field or 5 years of equivalent professional experience 

Were looking for someone fully engaged with AI - you already use it daily to augment your own work (coding assistants automation agentic workflows) and are eager to push it further building AI into the platform itself and into how the team delivers. 

Required: Fluent English with strong written and verbal communication skills as youll work daily with an international team. English is the working language of the team not a nice-to-have.

Additional Information :

What We Offer 

• Real ownership over company-critical infrastructure including our internal AI platform not just execution of existing patterns 

• An AI-first environment where you are encouraged to push the limits of what AI can do for engineering with a serious AI toolchain (Cursor Claude Code and access to multiple LLM providers) 

• Direct influence over technical direction and best practices across TechOps 

• The chance to work within an international team on real-world high-impact platforms 

• The opportunity to build the engineering platform behind QIMAs business solutions and operations applications with a visible impact on the companys business 

To Apply 

Send us your CV and a short note on what you have built and why this role interests you. 

Our process: a first call with our Talent Acquisition team a technical discussion with the TechOps team and a final conversation with the hiring manager. 

Remote Work :

No

Employment Type :

Full-time