RESTful APIs, microservices, and event-driven architectures. Hands-on experience with databases (SQL and/or NoSQL) and data modelling best practices. Familiarity with cloud platforms (AWS, Azure, or GCP) and containerisation tools like Docker/Kubernetes . Experience with CI/CD pipelines , automated testing, and code quality tools. Solid understanding of software engineering principles: scalability, performance, and maintainability. More ❯
RESTful APIs, microservices, and event-driven architectures. Hands-on experience with databases (SQL and/or NoSQL) and data modelling best practices. Familiarity with cloud platforms (AWS, Azure, or GCP) and containerisation tools like Docker/Kubernetes . Experience with CI/CD pipelines , automated testing, and code quality tools. Solid understanding of software engineering principles: scalability, performance, and maintainability. More ❯
RESTful APIs, microservices, and event-driven architectures. Hands-on experience with databases (SQL and/or NoSQL) and data modelling best practices. Familiarity with cloud platforms (AWS, Azure, or GCP) and containerisation tools like Docker/Kubernetes . Experience with CI/CD pipelines , automated testing, and code quality tools. Solid understanding of software engineering principles: scalability, performance, and maintainability. More ❯
scale, distributed systems. Proficient in Python, Golang and PostgreSQL . Experience with Liquibase or similar tools for database change management and version control. Hands-on experience with AWS/GCP , including cloud-native services, storage, IAM, and KMS. Familiarity with DevOps practices , including Infrastructure as Code (e.g., Terraform), CI/CD tools (e.g., Jenkins, GitLab CI) and containerization. Strong understanding More ❯
design, MLOps) Building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., TensorFlow, MLFlow) Distributed computing frameworks (e.g., Spark, Dask) Cloud platforms (e.g., AWS, Azure, GCP) and HP computing Containerization and orchestration (Docker, Kubernetes) Ability to scope and effectively deliver projects What we offer Equity options - share in our success and growth. 10% employer pension contribution More ❯
we are looking for data engineers who have a variety of different skills which include some of the below. Strong proficiency in Python Extensive experience with cloud platforms (AWS, GCP, or Azure) Experience with: Data warehousing and lake architectures ETL/ELT pipeline development SQL and NoSQL databases Distributed computing frameworks (Spark, Kinesis etc) Software development best practices including CI More ❯
systems, network infrastructures, RDBMS etc Experience with infrastructure-as-code software Exposure to automated testing tools Knowledge of continuous integration - continuous deployment pipelines Recognised deep proficiency with Azure, AWS & GCP servicesJoin us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a More ❯
the following engineering disciplines : Cloud Engineering Data Engineering (not building pipelines but designing and building the framework) DevOps MLOps/LLMOps Often work with the following technologies : Azure, AWS, GCP Airflow, dbt, Databricks, Snowflake, etc. GitHub, Azure DevOps and related developer tooling and CI/CD platforms, Terraform or other Infra-as-Code MLflow, AzureML or similar for MLOps; LangSmith More ❯
. Experience with python packaging and environment managers (pip, conda, virtual environments) Experience with async programming in python (e.g. multiprocessing, subprocess, concurrent.futures) Exposure to cloud platforms (e.g., AWS, Azure, GCP) and containerization (e.g., Docker, Kubernetes). Experience designing, building, and maintaining large-scale, distributed systems. Experience with RESTful API design and implementation. Exposure to NoSQL databases (e.g., MongoDB, Cassandra) is More ❯
Prior experience working with or for a Global Systems Integrator (GSI). Proven experience in pre-sales, solution architecture, or consulting roles. Strong understanding of cloud platforms (AWS, Azure, GCP), DevOps, and microservices. Hands-on experience with observability tools, APM, log analytics, and infrastructure monitoring. Proficiency in scripting or programming languages (e.g., Java, Python, JavaScript). Certifications in Dynatrace, AWS More ❯
direction and long-term roadmap. What we're looking for: 5+ years of experience as a Software Engineer, ideally in Python (3.10+). Proven experience developing cloud-native applications (GCP or AWS). Strong understanding of CI/CD pipelines (e.g. GitHub Actions) and containerisation (Docker). Experience designing scalable, secure systems using modern principles (SOLID, TDD). Familiarity with More ❯
storage solutions. Understanding of RESTful APIs, microservices architecture, and best practices for back-end development. Familiarity with version control systems such as Git. Experience working with cloud platforms (AWS, GCP, or Azure) and deploying applications in a cloud environment. A passion for solving problems with technology and working to deliver efficient, scalable solutions. A proactive, results-driven mindset with the More ❯
Solid foundation in software engineering (e.g., Java, .NET, Node.js, Python). Deep understanding of architectural patterns (e.g., microservices, containerisation, API design). Experience with cloud platforms (AWS, Azure, or GCP). Familiarity with DevOps tooling and CI/CD pipelines. Strong problem-solving and communication skills. Desirable Experience working within UK Government or public sector. Knowledge of GDS service standards More ❯
the following is beneficial: Languages: Python, Java, Golang, JavaScript, C++ Frontend: React, Vue.js, AngularJS Backend: Node.js, Nginx, Uvicorn, RESTful APIs Databases: PostgreSQL, MySQL, MongoDB, Cassandra Cloud & DevOps: AWS, Azure, GCP, Docker, Kubernetes Scripting: Bash, PowerShell Passion for learning new tech and solving complex problems Please note: All applicants must UK Security Clearance at eDV level to be considered for this More ❯
Manchester, Lancashire, England, United Kingdom Hybrid / WFH Options
Interquest
Python software development. Strong knowledge of Python frameworks such as Django, Flask, or FastAPI. Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). Familiarity with cloud platforms (AWS, GCP, or Azure). Experience with containerization tools (Docker, Kubernetes is a plus). Strong problem-solving skills and attention to detail. Excellent communication and teamwork skills. Bachelor's degree in More ❯
Manchester, North West, United Kingdom Hybrid / WFH Options
InterQuest Group (UK) Limited
Python software development. Strong knowledge of Python frameworks such as Django, Flask, or FastAPI. Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). Familiarity with cloud platforms (AWS, GCP, or Azure). Experience with containerization tools (Docker, Kubernetes is a plus). Strong problem-solving skills and attention to detail. Excellent communication and teamwork skills. Bachelor's degree in More ❯
modern software development tools/ways of working (e.g. git/GitHub, DevOps tools for deployment) - should be able to show practice of commit early and deploy often Hosting: GCP (GKE and Cloud Run) essential Deployment: Terraform and GitHub Actions - essential Agile Methodology Preferred qualifications: Experience with Docker or containerized applications, especially architecture of multi-container applications Demonstrated experience with More ❯
modern software development tools/ways of working (e.g. git/GitHub, DevOps tools for deployment) - should be able to show practice of commit early and deploy often Hosting: GCP (GKE and Cloud Run) essential Deployment: Terraform and GitHub Actions - essential Agile Methodology Preferred qualifications: Experience with Docker or containerized applications, especially architecture of multi-container applications Demonstrated experience with More ❯
modern software development tools/ways of working (e.g. git/GitHub, DevOps tools for deployment) - should be able to show practice of commit early and deploy often Hosting: GCP (GKE and Cloud Run) essential Deployment: Terraform and GitHub Actions - essential Agile Methodology Preferred qualifications: Experience with Docker or containerized applications, especially architecture of multi-container applications Demonstrated experience with More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Michael Page Technology
experience). Proven experience in technical support, site reliability engineering (SRE), or platform operations. Strong knowledge of Linux/Unix and Windows environments. Familiarity with cloud platforms (AWS, Azure, GCP). Hands-on experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Knowledge of scripting languages (Python, Bash, PowerShell). Knowledge of containerization & orchestration (Docker, Kubernetes). More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Searchability NS&D
optimise systems for scalability, resilience and efficiency. Candidate Profile Strong background in cloud engineering , ideally in secure or regulated environments. Experience with public and private cloud platforms (AWS, Azure, GCP, OpenStack). Hands-on knowledge of containerisation, Kubernetes, microservices and IaC (Terraform, Ansible, etc.). Familiarity with CI/CD pipelines and modern DevOps toolchains. Excellent problem-solving, communication and More ❯
professional business relationships with partners and customer stakeholders Key Words: Cloud Modernisation - Cloud Modernization - Application Architect - Full Stack Engineer - Application Modernisation - AppMod - Application Engineer - Software Architect - Cloud - Azure - AWS - GCP - Application Architecture - Application Developer Additional Information We don't believe hiring is a tick box exercise, so if you feel that you don't match the job description 100%, but More ❯
Python or PowerShell Production experience operating containerization technologies - ideally with Kubernetes (AKS or EKS) Proficiency with Azure Cloud and also with another public cloud provider such as AWS or GCP Proficiency using Infrastructure as Code (IaC) tools such as Terraform (preferred), Ansible, or CloudFormation. Experience with monitoring, observability and logging tools such as DataDog, Prometheus, Grafana, or similar. Proven track More ❯
background (Java, Python, C++ or scripting languages). Experience with containerisation & orchestration (Docker, Kubernetes, OpenShift). Infrastructure as Code (Terraform, Ansible, Helm). Exposure to cloud platforms (AWS, Azure, GCP). Understanding of automated testing, QA, and DevOps pipelines. Excellent communication skills with a collaborative mindset. For analysts: proven expertise in stakeholder engagement, requirements analysis, and supporting digital transformation programmes. More ❯
