Senior DevOps Engineer job opportunity at Quantexa.

Home Jobs In United Kingdom Tag: Job Senior DevOps Engineer position at Quantexa


Date2026-04-19T21:43:03.310Z bot
Quantexa Senior DevOps Engineer
Experience: General
Pattern: Full-time
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loacation London, United Kingdom
loacation London....United Kingdom
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What we’re all about. Do you ever have the urge to do things better than the last time? We do. And it’s this urge that drives us every day. Our environment of discovery and innovation means we’re able to create deep and valuable relationships with our clients to create real change for them and their industries. It’s what got us here – and it’s what will make our future. At Quantexa, you’ll experience autonomy and support in equal measures allowing you to form a career that matches your ambitions. 41% of our colleagues come from an ethnic or religious minority background. We speak over 20 languages across our 47 nationalities, creating a sense of belonging for all. Opportunity You’ll be joining one of our DevOps teams in our R&D department working on the Quantexa Cloud Platform and accompanying solutions, including platforms supporting data‑intensive and AI‑driven workloads. The platform is comprised of a landscape of low‑maintenance, on‑demand, and highly secure environments that host our software for customers and partners. These environments also support a wide range of internal use cases, underpinning the work of our R&D teams. As a  Senior DevOps Engineer , you will: Contribute to the evolution and improvement of our cloud‑based platform, with a strong focus on availability, resilience, performance and security. Take ownership of significant technical problems and initiatives, driving them through to delivery with a high degree of autonomy. Enhance our automation practices, helping reduce operational toil and improve the consistency and reliability of our platform, including the use of modern tooling and AI‑assisted approaches where appropriate. Collaborate closely with software engineering teams to strengthen our CI/CD pipelines and optimise build, test and deployment workflows, with an eye on improving overall developer productivity. Support the development of cloud‑based product capabilities that customers can integrate into their own DevOps processes. Contribute to technical discussions, provide guidance on best practices, and help shape engineering standards within the team. Offer informal mentoring and knowledge‑sharing to engineers, supporting the growth of the wider DevOps community. This role focuses on deep hands‑on technical expertise and the ability to lead complex workstreams, while stopping short of the architectural ownership and broader technical leadership responsibilities of a Lead Engineer. Our Stack Includes: Kubernetes, Docker, Istio GitOps / DevOps tooling:  ArgoCD, Jenkins, GitHub Actions Scripting & Automation:  Bash, Python, Groovy, Golang IaC & Infrastructure Management:  Terraform, Ansible, Packer, CasC Provisioning Frameworks:  Elasticsearch, Spark, Hadoop, Airflow, PostgreSQL, etc. Observability:  Fluentd, Prometheus, Grafana, Alertmanager Public Cloud:  Primarily GCP and Azure, with some AWS We are looking for candidates who: Take pride in designing, building and delivering high‑quality, well‑engineered solutions to complex problems. Think holistically, ensuring solutions integrate effectively into large‑scale distributed systems. Bring strong hands‑on experience across several aspects of our cloud and DevOps stack. Have solid experience with programming/scripting/automation. Demonstrate a strong understanding of information security principles. Have experience operating and supporting cloud‑native platforms in production environments. Are comfortable working autonomously, leading technical workstreams and driving improvements. Enjoy sharing knowledge and supporting the development of other engineers. Experience in the following would be beneficial: Infrastructure management and general Linux administration. Operating microservice‑based architectures (scaling, upgrading, traffic management, deployment strategies). Software build, release engineering and CI/CD pipeline enhancement. Exposure to a broad selection of the technologies listed in our tech stack. Exposure to platforms or tooling that support AI/ML workflows, data‑intensive pipelines, or intelligent automation.

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