Rust, Go, Python). Experience in enterprise and solution architecture, cloud and on-premise networking. Proven experience in senior technology roles within large enterprise public cloud environments (AWS, Azure, GCP). Ability to drive technological and cultural change, promoting automation and platform as a foundation for innovation. Strong leadership, communication, negotiation, and team-building skills, with experience managing More ❯
and MongoDB. Experience building stream processing systems using Apache Kafka . Proficiency with Docker and Kubernetes in deploying containerized data workflows. Good understanding of cloud services (AWS or Azure). Hands-on experience with ELK stack (Elasticsearch, Logstash, Kibana) for scalable search and logging. Familiarity with AI models supporting data management. Experience working with Lakehouse systems , data denormalization More ❯
and MongoDB. Experience building stream processing systems using Apache Kafka . Proficiency with Docker and Kubernetes in deploying containerized data workflows. Good understanding of cloud services (AWS or Azure). Hands-on experience with ELK stack (Elasticsearch, Logstash, Kibana) for scalable search and logging. Familiarity with AI models supporting data management. Experience working with Lakehouse systems , data denormalization More ❯
London, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
LLMs into enterprise SaaS or internal tooling Strong Python experience with ML/LLM libraries (e.g., Transformers, LangChain, LangGraph, OpenAI APIs) Experience with cloud platforms (AWS, GCP, or Azure), deployment, and CI/CD pipelines Familiarity with containerization (Docker, Kubernetes) and observability (e.g., Prometheus, Grafana) A builder mindset: you're comfortable with ambiguous specs, early-stage infrastructure, and More ❯
and MongoDB. Experience building stream processing systems using Apache Kafka . Proficiency with Docker and Kubernetes in deploying containerized data workflows. Good understanding of cloud services (AWS or Azure). Hands-on experience with ELK stack (Elasticsearch, Logstash, Kibana) for scalable search and logging. Familiarity with AI models supporting data management. Experience working with Lakehouse systems , data denormalization More ❯
City of London, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
LLMs into enterprise SaaS or internal tooling Strong Python experience with ML/LLM libraries (e.g., Transformers, LangChain, LangGraph, OpenAI APIs) Experience with cloud platforms (AWS, GCP, or Azure), deployment, and CI/CD pipelines Familiarity with containerization (Docker, Kubernetes) and observability (e.g., Prometheus, Grafana) A builder mindset: you're comfortable with ambiguous specs, early-stage infrastructure, and More ❯
london (city of london), south east england, united kingdom
Robert Walters
and MongoDB. Experience building stream processing systems using Apache Kafka . Proficiency with Docker and Kubernetes in deploying containerized data workflows. Good understanding of cloud services (AWS or Azure). Hands-on experience with ELK stack (Elasticsearch, Logstash, Kibana) for scalable search and logging. Familiarity with AI models supporting data management. Experience working with Lakehouse systems , data denormalization More ❯
opportunities. Requirements Background knowledge and hands-on practice in Cloud DevOps, specifically experience with AWS (EC2, EKS, ECS, Fargate, Lambda, CloudFormation, Load Balancers, CloudWatch) and the equivalent with Azure and GCP Background knowledge and hands-on practice in Observability, specifically experience working with one or more of the following tools - Kibana, Open-Search, Grafana, Datadog, Sumo Logic, New More ❯
opportunities. Requirements Background knowledge and hands-on practice in Cloud DevOps, specifically experience with AWS (EC2, EKS, ECS, Fargate, Lambda, CloudFormation, Load Balancers, CloudWatch) and the equivalent with Azure and GCP Background knowledge and hands-on practice in Observability, specifically experience working with one or more of the following tools - Kibana, Open-Search, Grafana, Datadog, Sumo Logic, New More ❯
processes. Proficiency in programming languages such as Python, Java, or Scala. Experience with big data technologies such as Hadoop, Spark, and Kafka. Familiarity with cloud platforms like AWS, Azure, or Google Cloud. Excellent problem-solving skills and the ability to think strategically. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at all levels. More ❯
opportunities. Requirements Background knowledge and hands-on practice in Cloud DevOps, specifically experience with AWS (EC2, EKS, ECS, Fargate, Lambda, CloudFormation, Load Balancers, CloudWatch) and the equivalent with Azure and GCP Background knowledge and hands-on practice in Observability, specifically experience working with one or more of the following tools - Kibana, Open-Search, Grafana, Datadog, Sumo Logic, New More ❯
have experience in designing schemas for data warehouses/data marts to support the relevant ingest and queries You have experience working on cloud-based infrastructure (e.g. AWS, Azure, GCP) You have demonstrable continuous personal development with relevant data certifications and accreditations You have strong interpersonal skills You are security cleared or capable and willing to undergo security More ❯
london (city of london), south east england, united kingdom
ITR Partners
opportunities. Requirements Background knowledge and hands-on practice in Cloud DevOps, specifically experience with AWS (EC2, EKS, ECS, Fargate, Lambda, CloudFormation, Load Balancers, CloudWatch) and the equivalent with Azure and GCP Background knowledge and hands-on practice in Observability, specifically experience working with one or more of the following tools - Kibana, Open-Search, Grafana, Datadog, Sumo Logic, New More ❯
financial principles and practices Strong analytical and problem-solving skills Experience creating and managing digital dashboards (e.g., PowerBI) Proficiency with cloud financial management tools (e.g., AWS Cost Explorer, Azure Cost Management, Google Cloud Billing) Good technical knowledge of Cloud and DevOps tools, with a passion for technology Excellent communication and stakeholder management skills Ability to work independently and More ❯
London, England, United Kingdom Hybrid / WFH Options
Anson McCade
tools like Looker or Power BI. Strong client-facing and communication skills — able to lead conversations with both business and technical stakeholders. Experience with Databricks, Snowflake, AWS, or Azure . Understanding of DataOps, CI/CD pipelines , monitoring, and DevOps culture. Background in consulting or working in client-facing delivery roles. Work with cutting-edge clients alongside GCP More ❯
of Python web frameworks (e.g., Flask, Django, FastAPI). • Proficiency in building and deploying scalable, high-performance, and resilient backend systems. • Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes). • Knowledge of databases (e.g., PostgreSQL, MongoDB) and caching systems (e.g., Redis, Memcached). • Familiarity with machine learning concepts and experience working with More ❯
Git), and CI/CD pipelines. Excellent problem-solving skills and the ability to quickly learn and adapt to new technologies. Preferred Skills: Experience with Cloud platforms (e.g., Azure, AWS). Familiarity with Docker and containerization. Experience with Microservices architecture . Knowledge of unit testing frameworks and test-driven development (TDD). Experience working in an Agile/ More ❯
London, England, United Kingdom Hybrid / WFH Options
Futureheads
problem-solving skills and the ability to work independently and in a team environment. Excellent communication and interpersonal skills. Nice to haves: Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). Knowledge of containerisation and orchestration tools (e.g., Docker, Kubernetes). Understanding of front-end build tools and package managers (e.g., Webpack, NPM). Experience with CI More ❯
/expertise: Strong command of Go Experience with building services on top of Kubernetes Experience with building services on at least two major cloud providers (e.g. AWS, GCP, Azure) Experience with on-premise production deployments Qualifications Bachelor's degree (or equivalent) in Computer Science or a related field Strong coding skills with demonstrated proficiency in programming languages, such More ❯
and MongoDB. Experience building stream processing systems using Apache Kafka . Proficiency with Docker and Kubernetes in deploying containerized data workflows. Good understanding of cloud services (AWS or Azure). Hands-on experience with ELK stack (Elasticsearch, Logstash, Kibana) for scalable search and logging. Familiarity with AI models supporting data management. Experience working with Lakehouse systems , data denormalization More ❯
or Gradio to prototype solutions Exposure to development experience in mobile responsiveness using React.JS Web API development and integration in .NET C# Cloud based infrastructure and development on Azure, AWS or equivalent Knowledge and experience of working within the financial services sector Understanding & experience of source control systems - i.e. Github AI Ethics: Knowledge of ethical considerations in AI More ❯
end IM processes and management. Experience with MS Defender and Intune. Familiarity with IRM/Data Classification/Data Discovery tools. Experience working in cloud environments like AWS, Azure, and GCP. Knowledge of cloud security techniques within DevSecOps and agile environments. Ability to develop and improve technical policies and processes. Experience leading and mentoring team members. Desirable Skills More ❯
experience working with enterprise data platforms. Excellent knowledge of infrastructure architecture and security such as networking, containers, storage, API gateways etc. with a special emphasis on AWS/Azure cloud infrastructure. Knowledge of software quality assurance principles, test automation tools, CI/CD tools, security tools and application/systems monitoring. Experience in Agile development practices at scale. More ❯
opportunities Requirements Background knowledge and hands-on practice in Cloud DevOps, specifically experience with AWS (EC2, EKS, ECS, Fargate, Lambda, CloudFormation, Load Balancers, CloudWatch) and the equivalent with Azure and GCP Background knowledge and hands-on practice in Observability, specifically experience working with one or more of the following tools - Kibana, Open-Search, Grafana, Datadog, Sumologic, NewRelic, AppDynamics More ❯
