10 of 10 Part-Time AWS Jobs in the South East

modelling, transformation, migration, and analytics/AI solutions, with knowledge of data quality, metadata, and modern platforms. \n Cloud & Technology: Hands-on experience with AWS and/or Azure data services, plus knowledge of distributed systems, integration, microservices, and containerisation (Docker, Kubernetes). \n Solution Architecture: Understanding of enterprise architecture ...

they arise and responding decisively when challenges emerge. \n Hands-on experience implementing cloud-native or cloud-hosted solutions, with knowledge of platforms like AWS, Azure, or GCP. \n Demonstrated ability to introduce and scale new ideas, tools, or processes that improve customer outcomes or delivery efficiency. \n Strong sense ...

DevOps, infrastructure or platform engineering roles in a high-growth tech company (scale-up) or equivalent. \n Strong hands-on expertise with cloud platforms (AWS/Azure/GCP), infrastructure as code (ideally Terraform), containers (Docker), container orchestration (Kubernetes), and CI/CD tooling. \n Proven track record of building ...

reach their potential. \n Experience managing teams working across multiple systems and technology stacks (e.g. Go, Python, TypeScript, React, Linux, Docker, Kubernetes, Terraform, PostgreSQL, AWS, CI/CD pipelines, real-time data, edge computing). \n Excellent communication and stakeholder management skills. Ability to frame technical work in terms ...

managing both functional and non-functional requirements and translating them into practical, scalable solution designs. \n Experience working with public cloud platforms, ideally AWS or Azure. \n Broad technical knowledge spanning both modern and legacy technology environments. \n Excellent communication, presentation and stakeholder management skills, with the ability to engage ...

lakes, and lakehouse architectures (e.g. Databricks, Snowflake, BigQuery) \n Familiarity with modern data modelling approaches (Kimball, Data Vault, Medallion) \n Experience with cloud platforms (AWS, Azure, GCP) and event‐driven/streaming technologies (Kafka, Flink, CDC) \n Knowledge of SAP and D365 data extraction approaches, BI tools (e.g. Power ...

bring the following: \n \n Experience using ETL tools to ingest, transform and store data. \n Experience designing and developing cloud data platforms (AWS, GCP or Azure preferable) \n Good knowledge of data warehouse patterns and an understanding of best practices for storing and modelling data. \n Excellent communication, with ...

they add leverage. \n Work the SAP ecosystem intelligently \n Basis Technologies is an SAP PartnerEdge Build partner, listed on both Microsoft Azure and AWS marketplaces. The SAP community is a network — SAP account teams, system integrators, user groups, and partner events are all legitimate pipeline channels alongside direct outbound. ...

This is a hands-on technical role focused on modern DevOps and cloud-native engineering practices. You'll work with technologies such as AWS, Azure, Kubernetes, OpenShift, EKS, ECS and Infrastructure as Code (IaC), helping teams accelerate delivery while maintaining high standards of security, resilience and operational excellence. … include: \n \n \n Designing, building and maintaining secure DevSecOps pipelines. \n Developing Infrastructure as Code and automated platform capabilities. \n Supporting and optimising AWS, Azure, Kubernetes, OpenShift, EKS and ECS environments. \n Implementing monitoring, logging, observability and alerting solutions for mission-critical services. \n Contributing to secure, scalable ...

customer deployment on the ground. You will query data across logs, databases, and observability tooling, interpret point cloud scan data, and navigate Grafana, AWS, and a range of robotics-specific tooling to investigate issues and understand their root cause. Crucially, you will also use what you learn to improve things … Receive escalated issues from the first-line support team and investigate independently before routing to the relevant engineering teams. Query telemetry data, robot logs, AWS infrastructure, internal tooling and databases — including scan and point cloud data where relevant — to narrow the blast radius of a problem and form a view ...