Frontend: Expertise in React , TypeScript , HTML5 , CSS3 , and other modern frontend frameworks. DevOps: Familiarity with CI/CD tools such as GitHub , Jenkins , Harness , and containerization using Docker and Kubernetes . Cloud Platforms: Experience with cloud environments, preferably Google Cloud Platform (GCP) . Automation & Testing: Hands-on experience with automated testing frameworks like Jest , Cypress , and Pact . Strong understanding More ❯
to work collaboratively in a cross-functional team. Desirable Skills - Experience with PHP, especially in legacy systems. - Familiarity with DevOps practices, CI/CD pipelines, and containerization (Docker/Kubernetes). - Exposure to domain-driven design and microservices architecture. - Experience in agile development environments. What We Offer - A chance to work on a high-impact transformation project. - A collaborative and More ❯
Jenkins, or DroneCI. Experience with configuration as code tools like Terraform, or Cloudless. Strong knowledge of cloud platforms (AWS, Azure, GCP). Familiarity with containerization technologies (Docker, Helm/Kubernetes). Scripting skills in languages such as Python, Bash, or PowerShell. Understanding of networking, security, and system administration. What’s in it for you At Accenture in addition to a More ❯
and CI/CD pipelines Preferred qualifications • Experience with Server-Driven UI • Experience with Web Assembly (WASM), Service Workers and Progressive Web Apps • Experience with Go services deployed to Kubernetes • Experience with Microservices, gRPC, containerisation and Event-driven architectures. • Some experience managing Cloud resources, infrastructure as code, and site reliability engineering. We are an equal opportunity employer and value diversity More ❯
to define cloud strategies and optimise existing infrastructure GCP and Multi-Cloud Expertise: Architect and implement cloud-native solutions in Google Cloud (GCP) , leveraging services like EKS , GKE (Google Kubernetes) Design and optimise GCP Implement Identity and Access Management (IAM) and Security Policies Work with Google Anthos, Kubernetes, and container-based architectures Optimise GCP cost and performance , ensuring efficiency across … environments (Optional) Provide expertise in AWS, Azure, and OCI when needed Kafka and Kubernetes Platform Management: Design, deploy, and maintain scalable Kafka and Kubernetes clusters to support development and production environments Implement best practices for Kafka and Kubernetes operations , ensuring high availability, performance, and security Monitor, troubleshoot, and optimize Kafka and Kubernetes infrastructure to meet development team needs Implementation: Implement … Basic knowledge/willing to learn AWS Proven experience in designing and implementing cloud architectures and solutions Experience with Apache Kafka , including setup, configuration, monitoring, and troubleshooting Proficiency in Kubernetes (GKE) , including experience with container orchestration, Helm charts, and Kubernetes operators Hands-on experience with DevOps tools (e.g., GitLab, Jenkins, ArgoCD ) and Infrastructure-as-Code (IaC) (e.g., Terraform, Ansible ) Experience More ❯
City of London, London, United Kingdom Hybrid / WFH Options
ITSS Recruitment
Interests * LangChain, Langflow, or similar frameworks for building AI agents * LLMs or intelligent automation workflows * High-availability, scalable systems (microservices, event- based architectures) * Orchestration tools like Airflow, container orchestration (Kubernetes), or serverless frameworks You will be an enthusiastic Python Developer and a great communicator. The successful Python Developer should have strong problem-solving abilities, organisational skills and the ability to More ❯
Employment Type: Permanent
Salary: £65000 - £80000/annum Bonus, 26 days holiday, private heal
City of London, London, United Kingdom Hybrid / WFH Options
Searchability NS&D
support, working across security-first infrastructure and enabling robust DevSecOps practices. Essential Skills: Strong experience with AWS MSK (Kafka) and secure multi-account AWS environments Proven production experience with Kubernetes, Docker, Helm Proficient in Terraform, CI/CD Pipelines (Drone/GitLab) Excellent understanding of Kafka internals, stream processing, and secure Kafka deployments Strong experience across monitoring (Prometheus, Grafana, CloudWatch More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Made Tech
strategic organisational goals. Software Engineering A deep knowledge of a wide range of different languages, frameworks, stacks and design patterns. Deep experience with containerisation and orchestration tools (e.g. Docker, Kubernetes), CI/CD, TDD, Agile working and modern software engineering practices in general. Experience working within multidisciplinary teams with product, design, and technical disciplines all successfully collaborating. Advanced understanding of More ❯
based GUI’s using Python frameworks such as Dash building Python based REST servers using frameworks such as Fast API writing Docker files, configuring Gitlab CICD pipelines, deploying to Kubernetes designing and optimising SQL Data bases such as MSSQL or Postgres Experience of working in a financial institution on trading/risk or middle office desks possibly with exposure to More ❯
Microservices Design Patterns and Architecture Demonstrable experience in build/run/deploy within a containerized environment & sidecar concepts Cloud API Gateway experience with either APIGee, Endpoints, or Mulesoft, Kubernetes, GitHub, GitLab, DevOps Pipeline (e.g., Terraform, CLI, Ansible, Puppet, etc.), Container Registry, Docker Experience with Google Cloud Services Additional knowledge requirements: E-Commerce Call center care systems - e.g., IVR integrations More ❯
Strong programming skills in Python, with experience using libraries like scikit-learn, XGBoost, and pandas Practical experience in MLOps or strong knowledge of model deployment (e.g. MLflow, Airflow, Docker, Kubernetes, model monitoring tools) Familiarity with cloud environments (AWS, GCP, or Azure) and data pipelines Excellent communication skills—able to explain technical work to non-technical stakeholders and come to meetings More ❯
e.g. Terraform, ARM/Bicep, etc.) Knowledge of cloud security best practices and compliance standards (e.g. ISO 27001, SOC2, GDPR) Experience with containerisation and orchestration technologies (e.g. Docker, OpenShift, Kubernetes) Strong understanding of networking concepts and technologies Relevant cloud certifications (e.g. Azure Solutions Expert, Google Cloud Professional Architect) are a definite plus Knowledge of ECB/DORA standards applicable to More ❯
on expertise in DevSecOps practices, particularly security automation in CI/CD and infrastructure-as-code pipelines. Deep understanding of modern DevOps tooling (e.g., GitHub Actions/CircleCI, Terraform, Kubernetes, Docker) with secure configurations. Experience implementing security controls in cloud-native environments (e.g., AWS or Azure) including IAM, network policies, and container security. Proven track record of using tools such More ❯
Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong leadership skills with experience mentoring and managing data science teams. Deep knowledge of media measurement techniques, such as media mix modelling. Experience with advanced AI techniques, including NLP More ❯
Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong leadership skills with experience mentoring and managing data science teams. Deep knowledge of media measurement techniques, such as media mix modelling. Experience with advanced AI techniques, including NLP More ❯
and External Cloud Providers Experience of Infrastructure as Code Providers e.g. Terraform, and their usage to provision infrastructure across different Operating Environments e.g. On Premise and Cloud. Experience operating Kubernetes Clusters through the development, testing and production lifecycles including the investigation of Software Deployment Problems within the cluster. Experience developing automated solutions and scripts using Python to enhance operational efficiency More ❯
e.g., AWS, Azure, Google Cloud) Working knowledge of Web application APIs, Database (RDBMS, NoSQL), Webservices (REST, SOAP), Microservices, Middleware components like IBM MQ, RabbitMQ, Streaming services like Kafka, Containers (Kubernetes, OpenShift) Positive attitude and outlook, determined, enthusiastic, and resilient. Quick learner within a fast-paced environment. Ability to work independently with agreed remit and autonomy. A strong ambassador for the More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Fortice
technical support for clients whilst being agile in the approach and methodology. Data Scientist tasks Build robust, containerised data science capabilities which are scalable across projects and products (Docker, Kubernetes) Collaborate with technical teams to write production-ready code, ensuring ML and AI models are deployable for your clients and projects. Collaborate with software engineers to design and deploy machine More ❯
Deep understanding of system-level optimization for HFT performance Familiarity with time-series or relational databases for logging and analytics Experience with cloud platforms and containerized infrastructure (AWS, Docker, Kubernetes) Comfortable working in distributed teams across time zones, especially on Linux-based systems Excellent communicator under pressure, able to explain complex systems clearly and concisely A commercially sharp mindset with More ❯
scripting and automation experience (Terraform, CI/CD, Linux, Git) Solid knowledge of cloud platforms (Azure preferred) A proactive, collaborative mindset and a drive to innovate Nice to have: Kubernetes, Ansible, PowerShell, ServiceNow integrations, and experience with private cloud tech like VMware and Cisco UCS. More ❯
thread detection/hunting. - In-depth knowledge of IR/SOC monitoring, alerting and investigation tools platforms, process, and architecture - Experience working with cloud security technologies (AWS, Azure DevOps, Kubernetes, GCP, etc) including cloud log analysis, monitoring, detection, and incident response. - Experience with SOC use of SIEM, SOAR, IDS/IPS, DLP, and Endpoint security. Senior SOC Engineer/SOC More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Few&Far
Implement and optimise ML solutions using Python, open-source tools & infrastructure Collaborate with cross-functional teams to enhance product features, based on client feedback Work with Python, PyTorch, Tensorflow, Kubernetes, Docker & cloud platforms Ideal Candidates have 5+ years of Backend (Python) Software Engineering experience in a fast-paced, high-growth, product environment, ideally as a Co-Founder or Founding Engineer More ❯
