
Senior DevOps Engineer
ZartisThe company and our mission:
Zartis is a global AI transformation and technology consulting partner where talented engineers and technologists work on cutting edge innovation. We partner with ambitious organizations to design, build, and scale technology solutions that deliver real impact.
Our teams bring deep expertise in AI driven platforms, secure API architectures, and cloud native engineering. You will work on meaningful projects that accelerate the adoption of advanced technologies, from strategy and discovery through to full product delivery, helping turn complex challenges into measurable outcomes.
With engineering hubs across EMEA and LATAM, and long term partnerships in financial services, healthcare and life sciences, and energy and climate, we offer opportunities to work on projects that truly matter. Here, you will not just build technology, you will drive business impact and grow your career alongside industry leaders.
We are looking for a Senior DevOps Engineer to work on a project in the Travel Tech industry.
The project:
Our teammates are talented people that come from a variety of backgrounds. We're committed to building an inclusive culture based on trust and innovation.
You will be part of a distributed team embedded within an engineering modernisation programme, migrating a legacy platform to a microservices architecture. The focus is on dramatically improving build and deployment efficiency through modern CI/CD practices, cloud infrastructure, and DevOps culture change.
We are looking for someone with strong communication skills, ideally with experience making decisions independently, being proactive, working in fast-moving environments, and with excellent attention to detail.
We are looking for someone with good communication skills, ideally with experience making decisions, being proactive, used to building software from scratch, and with good attention to detail.
What you will do:
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Own and drive the modernisation of CI/CD pipelines, significantly reducing build and deployment times
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Design, implement, and maintain AWS infrastructure using Terraform (IaC)
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Manage and optimise containerised workloads on ECS / Fargate and EC2
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Configure and maintain monitoring and observability stacks (CloudWatch, Grafana, Datadog)
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Support Kafka-based event streaming infrastructure
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Collaborate with Java/backend engineers across delivery streams
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Drive DevOps culture within engineering teams — coach developers on pipeline usage, infrastructure practices, and tooling
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Identify and remediate infrastructure inefficiencies, including deprecated resources and cost optimisation
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Contribute to AI-assisted engineering workflows where relevant
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