Kubernetes, serverless functions. o Microservices, and distributed tracing. o Enterprise logging, monitoring, and alerting frameworks (e.g., ELK, Splunk, Prometheus, Grafana). o Automation scripting (using scripting languages such as Terraform, Ansible etc.). • Experience of working with Continuous Integration (CI), Continuous Delivery (CD) and continuous testing tools. • Experience working within an Agile environment. • Programming experience in following languages: Python, Java …/or GCP, including cloud-native services, networking, IAM, and cost optimization. Experience with other cloud providers is desirable. • Proven experience with DevOps practices, including Infrastructure as Code (e.g., Terraform), CI/CD tools (e.g., Jenkins, GitLab CI), and containerization. • Strong understanding of security principles in cloud and enterprise systems. • Familiarity with audit and compliance considerations in regulated industries, particularly More ❯
short video. Hear from our colleagues about their experience of working within our Digital, Data and Technology teams on our website. Our Tech stack Infrastructure as Code: AWS CDK, Terraform, Ansible CI/CD Tooling: GitLab CI, GitLab Runners, Jenkins, AWS (CodePipeline, CodeBuild, CodeDeploy, CodeArtifact) Secrets Management: AWS Secrets manager, secrets server Cloud & Containers: IAM, Lambda, EC2, ASGs/Launch More ❯
skills needed include: What makes a great candidate PowerShell/scripting language C#, Java or Python - prior history as developer or the ability to code Infrastructure As Code - Ansible, Terraform or equivalent Containerisation using Docker, and orchestration via Kubernetes or Docker Swarm Monitoring with ELK, Grafana or equivalent CI/CD with TeamCity Microsoft SQL Server Windows and Linux administration More ❯
open-source development projects. Experience with optimization, algorithms, or related quantitative processes. Experience with Cloud platforms like Microsoft Azure, AWS, Google Cloud Experience with cloud deployment technology (Docker, Ansible, Terraform, etc.) is also a plus. Experience with DevOps and tools like Azure DevOps Experience with AI-related projects/products or experience working in an AI research environment. Exposure to More ❯
and distributed systems. Message Brokers: Experience with Message Brokers (i.e., Kafka/RabbitMQ/IBM MQ). DevOps Principles: Understanding of DevOps principles and infrastructure as code tools (i.e., Terraform). Performance Tuning: Background in performance tuning, profiling, and monitoring Java applications. Observability and Monitoring: Solid experience with Observability and Monitoring tools (i.e., Splunk/Dynatrace). Leadership and Mentoring More ❯
and distributed systems. Message Brokers: Experience with Message Brokers (i.e., Kafka/RabbitMQ/IBM MQ). DevOps Principles: Understanding of DevOps principles and infrastructure as code tools (i.e., Terraform). Performance Tuning: Background in performance tuning, profiling, and monitoring Java applications. Observability and Monitoring: Solid experience with Observability and Monitoring tools (i.e., Splunk/Dynatrace). Leadership and Mentoring More ❯
the following skills: Proven experience designing and maintaining scalable CI/CD pipelines to automate software delivery. Hands-on experience with cloud infrastructure automation tools such as AWS CloudFormation, Terraform, and AWS CDK to provision and manage infrastructure as code. Practical experience hosting services on AWS ECS, Kubernetes, and AWS Lambda. Deep understanding of system performance optimisation in cloud environments More ❯
core infrastructure components such as virtual networks, virtual machines, storage accounts, and Azure Active Directory Previous experience in implementing Infrastructure as Code using tools like ARM templates, Bicep, or Terraform Previous experience of pipeline development with YAML CI/CD, Azure DevOps or GitHub actions Experience with containerization (e.g., Docker) and orchestration tools like Kubernetes Proven ability with basic scripting … as a basic and support and training towards these certifications and more will be given. Key Technical Terms DevOps, Cloud Systems Admin, Cloud Support, Azure, Azure DevOps, Azure Bicep, Terraform, Azure Monitor, Azure EntraID, YAML, CI/CD, GitHub Actions, IaC, Arm templates, Virtual Network, Victual Machines, Docker, Kubernetes, PowerShell, Python, Scripting, Log Analytics, Datalog Next Steps Please click on More ❯
database layer. We have some C# services and are expanding out into other AWS products such as ECS Fargate . Our IAC is a mix of Serverless framework and Terraform . We use JIRA for project management, Github actions for our CI/CD pipelines and Incident.io for our incident management process. For more detailed information, feel free to ask More ❯
Microsoft Azure services, including core infrastructure components such as virtual networks, virtual machines, storage accounts, and Azure Active Directory Understanding of implementing Infrastructure as Code using tools Bicep, or Terraform Understanding of pipeline development with YAML CI/CD, Azure DevOps or GitHub actions Exposure to containerization (e.g., Docker) and orchestration tools like Kubernetes Basic scripting, PowerShell or Python Highly … enterprise environment is also added to by investment in certification such as AZ900 and AZ104. Key Technical Terms DevOps, Cloud Systems Admin, Cloud Support, Azure, Azure DevOps, Azure Bicep, Terraform, Azure Monitor, Azure EntraID, YAML, CI/CD, GitHub Actions, IaC, Arm templates, Virtual Network, Victual Machines, Docker, Kubernetes, PowerShell, Python, Scripting, Log Analytics, Datalog, AZ900, AZ104 Next Steps Please More ❯
to achieve exceptional productivity and compliance outcomes. What You'll Be Doing Automating Machine Learning workflows (training deployment) with AWS & GitOps Deploying LLMs using Kubernetes & Docker Building infrastructure with Terraform & Helm Monitoring and maintaining ML models with performance alerts and dashboards Supporting CI/CD for ML pipelines Developing production-grade APIs (REST/gRPC) to serve models Collaborating with … engineers, data scientists & DevOps teams Requirements Your Experience Industry experience in DevOps or MLOps roles (ideally in AWS environments) Hands-on with Docker, Kubernetes, and Terraform Strong scripting skills in Python or Bash Familiar with ML lifecycle tools, model monitoring, and versioning Exposure to tools like KServe, Ray Serve, Triton, or vLLM is a big plus Bonus Points Experience with More ❯
Services organisations Deep experience with cloud platforms & technologies, specifically AWS (Ideally including AWS DevOps Engineer certification) Containerisation and Orchestration with K8s, EKS and Docker etc Infrastructure as Code with Terraform, Ansible and CloudFormation As always, excellent people, communication & inter-personal skills with the ability to work as part of a project team and on own initiative If the above details More ❯
topics to non-technical partners. Proficient in writing clean, maintainable code in SQL and Python, and experience with version control, CI/CD, and infrastructure-as-code tools (e.g., Terraform) in a data engineering context. Knowledge of YARA-L would be a great bonus. It would be great if you also had An innovator and change agent who can think More ❯
improvements to our Cost of Giving Service (COGS) Diagnose and triage escalated issues Support, mentor, and coach other members of the team Work will include the following technologies: AzDevops Terraform Python Powershell scripting About you Have significant experience with "Infrastructure as Code". We are looking for someone who has a genuine enthusiasm for IaC and experience of Delivered IaC More ❯
architecture Good technical knowledge and understanding of big data frameworks like Hadoop, Cloudera etc. Deep technical knowledge of database development, design and migration Experience of deployment in cloud using Terraform or CloudFormation Automation or Scripting experience using languages such as Python & Bash etc. ETL and workflow management knowledge Experience of Agile methodologies Experience in the Financial Services Sector Data Engineering More ❯
with data governance, privacy, and compliance frameworks Background in customer-centric or product-driven environments (e.g., digital, eCommerce, SaaS) Experience with infrastructure-as-code and data platform observability (e.g., Terraform) What You Can Expect Interesting work - working in a fast-paced and ever-changing industry, new problems and exciting solutions are never too far away. There are always opportunities to More ❯
an Out Of Hours on-call rota (one week in 6 roughly) Work will include the following technologies: Azure Azure alerting and monitoring AzDevops Pulumi Python Powershell Yaml pipelines Terraform About you People that are a good fit for this role will; Be operationally minded and have a bias towards operational improvement through process and automation Be well organised and More ❯
Edinburgh, Midlothian, Scotland, United Kingdom Hybrid / WFH Options
Travelnest
actively use: Typescript with Postgres as our core stack. React Native with Expo for our Mobile App. React with Vercel for our Web App. AWS for hosting our infrastructure. Terraform for infrastructure. GitHub Actions for testing and deployment. Sentry and Grafana for observability. OpenAI for LLM integrations. We also work with: Python and Flask which underpin most of our legacy More ❯
provide to your customers (our other development teams) on a daily basis and see the positive impact and difference you can make to their working lives. Our stack includes: Terraform, Python, AWS, and CI/CD pipelines. We don't expect experience with all of these - the team will support you in learning and developing your skillset, and FanDuel advocates More ❯
for our frontend Jest for tests SwiftUI for our Driver iOS App Python for our backend code Postgres for data storage Redis for caching Kafka for stream processing AWS, Terraform, GitLab CI/CD, Docker and ECS to deploy and run our services Flutter for our on-board server running Android, which handles concession ticket validation with more on-board More ❯
for our backend code Postgres for data storage Redis for caching Kafka for stream processing React for our frontend Clickhouse for analytics SwiftUI for our Driver iOS App AWS, Terraform, GitLab CI/CD, Docker and ECS to deploy and run our services Flutter for our on-board server running Android, which handles concession ticket validation with more on-board More ❯
