Company Overview
TECH. TALENT. PASSION. Three words that we believe encompasses our values and approach to delivering the best-in-class people solutions to some of the most innovative tech and digital brands in the world. S-SA Digital are a trusted partner for hiring managers and talent teams, delivering the finest bespoke talent attraction campaigns whilst acting as an advocate to their employer brand in this highly competitive marketplace. We operate flexible models across both permanent and contract recruitment with multiple bespoke solutions to ensure you can attract the top 5% of talent in your marketplace. Our solutions include, Executive Retained Search, Outsourced In-house, Contingency Search and more. Established in 2007, S-SA Digital has constantly evolved alongside this ever-changing industry by immersing ourselves into the tech community and ensuring our digital and social channels expose your vacancies to the best passive talent. Our honest forward-thinking approach and bespoke recruitment packages will exceed your expectations every time helping you find the best tech talent to scale your business.
About the Role: We’re looking for a skilled Sr. DevOps Engineer to join our expanding team in London with experience in high-load, big data, and ML/AI-driven platforms. As the only DevOps Engineer (AWS / Azure / GCP) based in London, you’ll be a key member of a collaborative team, working closely with three other DevOps Engineers, four developers, and an Engineering Manager.
Responsibilities:
- Ensure high availability and optimal performance of production systems.
- Implement and optimize CI/CD pipelines.
- Build and maintain monitoring and alerting systems.
- Design and manage a scalable, reliable machine learning platform.
- Develop and maintain cloud infrastructure.
- Lead incident response and conduct postmortems.
- Create self-serve tools to enhance efficiency.
Tech Requirements (Must-Have):
- 4-5+ years of experience with scalable SAAS systems on cloud platforms (GCP, AWS, or Azure).
- 3+ years of hands-on experience with Kubernetes (K8S).
- Experience with high-load, big data, and ML/AI-driven platforms.
Nice-to-Have:
- Familiarity with Helm, Terraform, Pulumi, or CrossPlane.
- Experience with microservices, GitOps, and CI/CD tools (e.g., GitHub Actions, CircleCI, Jenkins).
- Knowledge of monitoring tools like Prometheus and Grafana.
- Experience with GPU management (e.g., CUDA, TensorFlow).
- Strong understanding of networking, security, and UNIX/Linux.
- B.Sc. in Computer Science or a related field.
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