paced, early-stage environment Nice to Have: Deep understanding of database internals or data migration Experience with Docker, Kubernetes, and cloud platforms (Azure, AWS, GCP) Familiarity with CI/CD and DevOps tooling (e.g., GitHub Actions) The Stack: Linux, C++, TypeScript, PostgreSQL, LLVM Docker, Kubernetes, GitHub, Azure Why It’s More ❯
communication and collaboration skills Proficiency in Git for version control Basic knowledge of cloud infrastructure with experience working with at least one of AWS, GCP, or Azure Strong SQL skills for efficient data management and retrieval Knowledge of lending products and business processes will be a major advantage What you More ❯
of models. • Deep understanding of ML Ops practices, infrastructure automation, and the ML lifecycle in production environments. • Solid experience with cloud-native architecture (AWS, GCP or Azure), containerisation (e.g. Docker, Kubernetes), and big data processing frameworks (e.g. Spark, BigQuery). • Expertise in Python and SQL, with working knowledge of ML More ❯
and development, DevOps activities, building and implementing servers, databases, serverless architectures as well as implementation of security mechanisms and monitoring; on AWS, Azure or GCPcloud hosting. ROLE REQUIREMENTS Hands on design and development of large scale projects. Proactive in engineering communities and thought leadership both internally and externally. Line More ❯
of the things we use at the moment: TypeScript, React, styled-components Python, NodeJS ️ PostgreSQL, BigQuery, MySQL Jest, React Testing Library, Cypress, pytest ️ AWS, GCP Kubernetes, Docker, Terraform, GitHub, CircleCI How we expect you to work ️ We expect you to work in these ways, as well as encouraging and enabling More ❯
JavaScript experience with a modern framework (Vue, React or Angular) Experience building or contributing to cloud-based products (ideally in Azure, but AWS or GCP is fine too) A good understanding of clean code, testing, and scalable systems Bonus points for: Working in a SaaS product environment Microservices DevOps/ More ❯
have experience in all of this, but if you do, that's great! Java, which makes up the majority of our backend codebase AWS & GCP - we're cloud-native Microservice based architecture Kubernetes (EKS) TeamCity for CI/CD (lots of teams are releasing code 15-20 times per day More ❯
security testing using Postman, SoapUI, or REST-Assured . Strong understanding of CI/CD security, DevSecOps, and cloud security best practices (Azure, AWS, GCP) . Ability to simulate attack scenarios and conduct penetration testing on applications and infrastructure. Knowledge of database security testing , including writing security-focused SQL queries. More ❯
industry. Strong proficiency in Python and AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization tools (Docker, Kubernetes). Knowledge of data pipelines, ETL processes, and databases (SQL and NoSQL). Understanding of SaaS architecture and experience building More ❯
industry. Strong proficiency in Python and AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization tools (Docker, Kubernetes). Knowledge of data pipelines, ETL processes, and databases (SQL and NoSQL). Understanding of SaaS architecture and experience building More ❯
data analysis using Python or SQL is desirable. In depth knowledge of Cloud platforms and the well architected framework. (AWS - essential/Azure/GCP). Experience with security posture assessment tooling such as Qualys. Understanding of risk management principles. A team player, who is self driven with good communication More ❯
and client delivery. Consultants have access to a vast array for different training and certifications in a variety of areas: cloud technologies (AWS, Azure, GCP), programming (Java, Kotlin, NodeJS, Spring Boot), DevOps (Terraform, Kubernetes, Docker), Cybersecurity (CISSP, CISM) and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). Capgemini More ❯
systems. Experience with low-latency, high-throughput messaging systems (e.g., Kafka, RabbitMQ, or proprietary systems). Expertise in cloud technologies and deployment pipelines (AWS, GCP, or Azure). Expertise in performance profiling and optimisation. Strong leadership and communication skills with experience in mentoring and guiding development teams. In-depth knowledge More ❯
grasp of algorithms and data structures Familiar with test driven development approach Experience working with container environments in particular Docker, Kubernetes and Helm (e.g. GCP, Azure, AWS), ideally GCP. Familiar with automating CI/CD with tools like Jenkins, Spinnaker. Passionate about driving a modern and inclusive culture Able to More ❯
South West London, London, United Kingdom Hybrid / WFH Options
Run-Time Group Ltd
stack development experience (Python/Django). Strong experience with SQL databases (PostgreSQL/MySQL). Familiarity with DevOps tools (Docker, Kubernetes, AWS/GCP/Azure). Experience with API development and Git. More ❯
Automation: Design, provision, and manage the cloud infrastructure required to support the CI/CD pipelines and deployment targets, primarily on GoogleCloudPlatform (GCP) , ensuring scalability, reliability, and cost-effectiveness using infrastructure-as-code. Automation Security: Integrate security best practices into the automation pipelines and infrastructure, including the secure … Artifactory (or similar) for managing Helm charts and Docker image registries within automated workflows. Experience with cloud infrastructure automation, focusing on GoogleCloudPlatform (GCP) or similar providers (AWS, Azure), specifically as it relates to supporting CI/CD and application deployments. Solid experience with HashiCorp Vault (or similar) for More ❯
Strong troubleshooting, documentation and communication skills. Desirable Experience working with advertising data and platform APIs (Google Ads, Microsoft, Meta, etc.). Prior exposure to GCP-specific data tools. Experience setting up and maintaining CI/CD pipelines through GitHub Actions or other similar tools. Familiarity with Infrastructure as Code (Terraform More ❯
Strong troubleshooting, documentation and communication skills. Desirable Experience working with advertising data and platform APIs (Google Ads, Microsoft, Meta, etc.). Prior exposure to GCP-specific data tools. Experience setting up and maintaining CI/CD pipelines through GitHub Actions or other similar tools. Familiarity with Infrastructure as Code (Terraform More ❯
Machine (JVM) languages: Java, Scala, or Kotlin. Familiarity with at least one of the following cloud providers: Amazon Web Services (AWS), GoogleCloud Compute (GCP), or Microsoft Azure. Preferred Qualifications Familiarity with the Scala programming language and popular frameworks such as: Cats, Cats Effect, ZIO, and http4s. Familiarity with both More ❯
LangChain, LangGraph, LangSmith, LlamaIndex, Qdrant, etc.). Strong experience with asynchronous queues (e.g., Kafka, RabbitMQ) and asynchronous APIs. Deep understanding of cloud infrastructure (AWS, GCP) and experience deploying and managing applications at scale. Strong understanding of data lake architectures, including experience with data ingestion, storage, processing, and retrieval of large More ❯
complex projects in collaboration with Product Owners and stakeholders. Solid experience in JavaScript development (Node.js, React/NextJS). Expertise in cloud computing (GoogleCloudPlatform preferred). Nice-to-Haves Knowledge of event-driven microservices , CI/CD pipelines, Docker, and Kubernetes (Google GKE preferred). Familiarity with GitOps More ❯
deep learning NLP technology . Our tech stack: Programming language: Python Frameworks: FastAPI, Flask, Django Databases and data stores: PostgreSQL, Redis Cloud providers: GoogleCloudPlatform, Microsoft Azure Events and asynchronous tasks: Celery, NATS, Argo Workflows We work agile in sprints and iteratively deliver towards our milestones and goals. We More ❯
Enable data enrichment and correlation across primary, secondary, and tertiary sources. Cloud, Infrastructure, and Platform Engineering: Develop and deploy data workflows on AWS or GCP , using services such as S3, Redshift, Pub/Sub, or BigQuery. Containerize data processing tasks using Docker , orchestrate with Kubernetes , and ensure production-grade deployment. More ❯
Enable data enrichment and correlation across primary, secondary, and tertiary sources. Cloud, Infrastructure, and Platform Engineering: Develop and deploy data workflows on AWS or GCP , using services such as S3, Redshift, Pub/Sub, or BigQuery. Containerize data processing tasks using Docker , orchestrate with Kubernetes , and ensure production-grade deployment. More ❯
