501 to 525 of 19,215 Python Jobs

CD pipelines and tools (e.g., Github CI, GitLab CI, CircleCI, Jenkins). Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack). Strong scripting skills (e.g., Bash, Python) for automation tasks. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Preferred Experience Experience with other cloud platforms (e.g GCP, Azure). Knowledge of security More ❯

performance tuning while mentoring junior engineers in the London hub. Contribute to infrastructure roadmap, capacity planning, and cost optimisation initiatives. Minimum Qualifications Proficiency in at least one programming language ( Python, Go, or C++ ). 5+ years in DevOps/SRE/Infrastructure Engineering, delivering mission‐critical systems in production. Deep expertise with AWS or Azure , Kubernetes , Docker/OCI , and More ❯

Ideal Candidate We'd love to hear from you if you: Have at least 4 years of professional experience as a backend/platform engineer. Have deep expertise in Python and building reliable data-focused backend services. Have hands-on experience with cloud infrastructure (GCP/AWS/Azure), infrastructure-as-code (Terraform), containerisation (Docker/k8s), and data pipelines More ❯

automated testing frameworks and continuous integration tools. Knowledge of modern authentication and authorization protocols (OAuth, JWT, etc.). Prior experience with version control systems, particularly Git. Experience in using Python programming language. 25 days holiday (excluding bank holidays) Optionalremote working Wednesday Regular team social events (Monthly lunches, Quarterly out-of-office socials) Please note that if you are NOT a More ❯

typical in modern data engineering and reporting. Including storage, data pipelines to ingest and transform data, and querying & reporting of analytical data. You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc. You’ve got a background in software engineering, including Front End technologies like JavaScript. You’re a problem-solver, pragmatically exploring options and finding effective More ❯

lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies Proficiency in at least one and preferably two programming languages (e.g., Python, Rust, C/C C#). Cloud Platforms: Hands-on experience with AWS, Azure, or GCP, and familiarity with cloud-native architecture. Hands-on experience managing large-scale Kubernetes deployments. More ❯

years of experience working with distributed systems, data engineering, or software architecture, including a minimum of 2 years specializing in Apache Flink Strong proficiency in Java; additional experience with Python and SQL is beneficial Practical experience with containerization and orchestration technologies (e.g., Kubernetes, Docker) Deep knowledge of cloud-native deployment architectures and experience with AWS, GCP, or Azure Demonstrated expertise More ❯

scheduling platforms Experience in cloud platforms (GCP preferred, but AWS or Azure accepted) Knowledge of applicable audit controls and applicability to IAM services architecture, design, and processes Proficiency in Python, Bash, Go, Perl, PowerShell, and Ruby are a plus Hands on experience with CyberArk and personal password managers are a plus Experience in working within an a Scaled Agile Framework More ❯

in a data science or machine learning-focused role. Technical Skills Expertise in designing and deploying ML algorithms, AutoML tools, and AI applications. Proficiency with programming languages such as Python and R, and ML libraries (TensorFlow, PyTorch, scikit-learn). Hands-on experience with cloud platforms (Azure ML) and big data ecosystems (e.g., Hadoop, Spark). Strong understanding of CI More ❯

Experience with system configuration management across Dev/Test/Ops environments Experience developing in a high-level programming language in a Linux OS environment. Proficiency with infrastructure scripting (Python, Shell) Knowledge of artifact versioning and secure artifact management practices Agile development experience (Scrum, Kanban) CompTIA Security+ certification Java awareness (how it builds, deploys, runs-not necessarily hands-on development More ❯

new applications using classes and modules CI/CD tools in production environment Experienced building Gitlab or Jenkins pipelines and ArgoCD or Flux Intermediate scripting languages, Bash – Golang - PowerShell – Python – Ruby Working with APIs Windows server administration Docker experience Knowledge in IP Networking Knowledge of Agile development methodologies Understanding of the IT/Network security challenge Certificates management, Encryption principles More ❯

cloud networking environments (VPCs, VPNs, firewalls, DNS). Automation & Scripting: Solid foundation in Linux, Infrastructure as Code (Terraform/Pulumi), configuration management (Ansible), CI/CD, and scripting (Bash, Python). At JET, this is on the menu: Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact More ❯

systems capable of handling high loads. Excellent problem-solving and troubleshooting skills, combined with effective communication abilities to articulate technical concepts. Proficiency in at least one programming language (e.g., Python, Node.JS, Go) with a focus on automation and scripting. Strong Linux experience and sound understanding of core networking and best security principles. Hands-on experience designing and managing CI/ More ❯

degree in Computer Science, Mathematics, Physics, or a related field. Extensive experience in building machine learning models for tasks like recommendations, segmentation, forecasting, and optimising marketing spend. Proficiency in Python, SQL, Bash, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, PyTorch, and more. Experience with A/B testing and other experimentation methods to validate model More ❯

MSc in Computer Science Minimum of 8 years of experience in backend and infrastructure development. At least 3 years of hands-on experience with one of the following languages: Python, Go, Rust, Java, C, C#, C++. Experience in large-scale production microservices environments and devops operations Deep understanding of distributed systems and microservices architectures. Proficiency with cloud platforms such as More ❯

large corporate environments. Infrastructure as Code (IaC) Tools & Methodologies: Proficiency with Ansible, Terraform, and PackerIO for provisioning and managing infrastructure. Scripting & Automation Scripting Languages: Familiarity with Bash, PowerShell, or Python to automate workflows and system tasks. Virtualization & Containerization Virtual Environments: Experience administering virtualized systems using VMWare or Docker. Container Platforms: Knowledge of Docker/Kubernetes, AWS, Azure, or OpenShift (PaaS More ❯

and reporting. Software Testing & QA: Experience with functional, regression, and performance testing. Patch & Release Management: Understanding of patching processes, software deployment, and impact analysis. Scripting & Automation: Proficiency in PowerShell, Python, or Bash for test automation and patch validation. CI/CD & DevOps Tools: Familiarity with Jenkins, GitLab CI/CD, Ansible, SCCM, or Intune for automated patch testing. Operating Systems More ❯

with at least 3 years working in a research-focused environment Advanced knowledge of machine learning algorithms, deep learning frameworks, and statistical modeling Proficiency in programming languages such as Python, R, Julia, or MATLAB for developing and testing models Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau, Power BI) to present insights effectively Strong understanding of big data technologies More ❯

As a minimum to be considered, we would like to see demonstrated, hands-on experience of: Strong understanding of at least one object oriented language, e.g. Java, Go or Python Developing of RESTful API services & understanding of API Gateways (e.g. APIGEE). Building applications utilising container technologies e.g. Docker. Managing application deployed to Kubernetes clusters, Istio & Helm. Cloud: GCP, GKE More ❯

Computing environment certification/certificate of training. • 1+ year experience developing and configuring pipeline automations (such as Azure DevOps Server, GitLab, or Jenkins). • Proficiency in scripting languages like Python, Bash and PowerShell to automate routine tasks and processes within a pipeline. • 2+ years experience in automated infrastructure provisioning, configuration management and deployment processes (Configuration as Code) using tools like More ❯

SCCM, YUM, SolarWinds, etc. for heterogeneous operating systems environments (e.g., Microsoft Windows and Linux) Proficiency in RHEL installation, configuration, and maintenance Strong command-line skills and scripting abilities (Bash, Python) Knowledge of networking protocols and services (DNS, DHCP, HTTP/S, etc.) Experience with configuration management tools (e.g., Ansible, Puppet) Experience managing RHEL servers in a DoD environment Experience working More ❯

systems. 5+ years of hands-on experience with big data technology, systems and tools such as AWS, Hadoop, Hive, and Snowflake Expertise with common Software Engineering languages such as Python, Scala, Java, SQL and a proven ability to learn new programming languages Experience with workflow orchestration tools such as Airflow Detailed problem-solving approach, coupled with a strong sense of More ❯

Agile/Scrum ways of working and participation in sprint ceremonies Exposure to ETL/ELT pipelines, data modelling, or ML/AI workloads. Skills/Aptitude: Programming in Python, SQL, C#, and/or React (or similar); ability to write clean, maintainable code. Proficient with Git, Azure DevOps or GitHub; comfortable with CLI tools. Strong analytical thinking, problem-solving More ❯

knowledge of logging solutions and troubleshooting techniques, experience with Persistent Volumes and Persistent Volume Claims and Knowledge of dynamic provisioning and storage classes. 2+ years of scripting experience with Python, Bash, PowerShell and YAML 2+ years of programming experience with C, C++, , Java, or .net Strong experience in cloud service environments in AWS, Azure and GCP. Intermediate to advanced knowledge More ❯

Azure Platform, Azure Data Services, Databricks, Power BI, SQL DW, Snowflake, Big Query, and Advanced Analytics. Proven ability to understand low-level data engineering solutions and languages (Spark, MPP, Python, Delta, Parquet). Experience with Azure DevOps & CICD processes, software development lifecycle including infrastructure as code (Terraform). Understand data warehousing concepts, including dimensional modelling, star schema, data aggregation, and More ❯