176 to 200 of 1,205 GitHub Jobs

with Git workflows and version control best practices Experience with PowerShell, Azure CLI, or Bash for automation tasks Understanding of CI/CD pipeline concepts and tools (Azure DevOps, GitHub Actions, etc. Containerisation experience with Docker and basic Kubernetes concepts Understanding of cloud networking concepts (VNets, subnets, NSGs) Awareness of cloud security best practices and compliance requirements Basic knowledge of More ❯

to-end testing to analyze and coordinate infrastructure needs driven by developed software. Support the Agile software development lifecycle following Program SAFe practices. Utilize industry-leading DevOps tools like GitHub, Jenkins, and Unix bash scripting. Document and perform systems software development, including deploying build artifacts across different environments using GitFlow constructs. Communicate key project data effectively to team members, fostering More ❯

HTML5, CSS3, JavaScript MVC PHP frameworks (e.g. Laravel, Lumen), MVC JavaScript frameworks (e.g. Vue.js, ReactJS, Angular) Server tools, web applications, and SOAP/RESTFUL APIs, Version control: GitLab/Github,Working on multiple branches and maintaining code with the rest of the team, Command-line interfaces, Task runners and dependency management tools: Grunt, Gulp, Bower, Webpack, NPM, Composer, Devops: Site More ❯

cost optimisation desirable. Terraform – production experience (modules, remote state, multi-env, collaboration). Linux administration – CLI tools, system performance, network debugging, patching. CI/CD & Automation Jenkins, GitLab CI, GitHub Actions – pipeline design, automation, deployments. Containers (Docker, Kubernetes); GitOps tools (ArgoCD, Flux) a plus. Infrastructure drift detection and IAC best practices. Monitoring & Observability, tools such as Prometheus, Grafana, ELK/ More ❯

code.  Strong problem-solving skills with a focus on continuous improvement and automation.  Good understanding of ServiceNow out of the box architecture.  Good understanding of other platforms such as; GitHub, Jira, Confluence  Proven experience in developing & implementing innovative solutions on (but not limited to), the ServiceNow platform, driving thought leadership.  Effective communication & interpersonal skills, with the ability to work collaboratively More ❯

code. Strong problem-solving skills with a focus on continuous improvement and automation. Good understanding of ServiceNow out of the box architecture. Good understanding of other platforms such as; GitHub, Jira, Confluence Proven experience in developing & implementing innovative solutions on (but not limited to), the ServiceNow platform, driving thought leadership. Effective communication & interpersonal skills, with the ability to work collaboratively More ❯

required. Experience with containerization technologies (Docker, Kubernetes) is required. Strong communication skills and ability to work effectively in a team environment is required. 5+ years of professional experience with GitHub or similar code repositories is required. Strong knowledge of DevOps automations in the AWS ecosystem is required. Knowledge of scripting YAML, JSON, Shell, Bash, and Python is required. Hands-on More ❯

React, TypeScript, and modern front-end tooling (e.g., Next.js, SCSS) Comfortable integrating with internal APIs using REST and GraphQL Familiar with CI/CD pipelines and deployment infrastructure (e.g., GitHub Actions, AWS) A collaborative engineer who values code reviews, shared ownership, and continuous improvement Clear and thoughtful communicator-able to work effectively across disciplines and time zones Skilled at debugging More ❯

reactive programming patterns. Secure coding and API development practices. Microservices design and best practices. Unidirectional data flow patterns (Redux, etc.). RxJS or other reactive programming techniques/libraries. GitHub, including best practices around branching strategies. Knowledge of AI technologies (OpenAI, ChatGPT 4.0, Gemini, Claude). What Makes You Stand Out: A technical expert with a personal curiosity for technology More ❯

and CSS. Proven track record of leading Agile development teams. Experience designing and building cloud-based, scalable applications. Familiarity with test-driven development (TDD) and version control systems (e.g., GitHub). Strong communication skills with an ownership mindset and a focus on delivering high-quality outcomes. Desirable Experience (Nice to have): Experience with AWS, Tailwind CSS, PostgreSQL, Express, GraphQL, Terraform More ❯

Postgres or Oracle Experience working with Docker and docker-compose Familiarity with AWS , particularly services like S3, Aurora, and ElasticCache Proficient with CI/CD tools such as GitLab , GitHub Actions, or CircleCI Strong testing capabilities using JUnit , RestAssured , or similar frameworks Proactive with monitoring, observability, and system health Desirable Skills: Exposure to monitoring platforms like Datadog, Grafana, Prometheus , or More ❯

progressive mobile apps PostgreSQL for our database, using some of its advanced geographic modelling capabilities Metabase for analysis and self-serve data exploration Redis for caching and task queues GitHub , Codeship and Heroku for seamless code review, integration and deployment Claude Code for agentic coding AWS S3 , CloudFront and Lambda for storage and content delivery Cypress for end-to-end More ❯

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, Langfuse and similar for LLMOps The More ❯

Familiar with Storybook and writing visual regression tests (e.g., Storyshots) Comfortable with Docker and docker-compose Exposure to AWS services Experience with modern CI/CD pipelines like GitLab, GitHub Actions, or CircleCI Awareness of CDNs , shell scripting , and common CLI tools Experience with monitoring tools like Datadog Familiarity with Kubernetes and deployment tools like Helm Why Join H&B More ❯

and ORMs, e.g. Entity Framework DevOps processes, CI/CD, writing Unit Tests Testing frameworks (e.g. xUnit, NUnit, MSTest), and broader testing tools such as Selenium, Playwright, Docker, Postman GitHub or similar Containerization tech: Docker, Kubernetes Relevant Microsoft Certifications The Where and When This is a full-time role (35 hours per week) based in our Manchester office. Since March More ❯

data processing. Our Data Tech Stack Azure Cloud (SQL Server, Databricks, Cosmos DB, Blob Storage) ETL/ELT (Python, Spark, SQL) Messaging (Service Bus, Event Hub) DevOps (Azure DevOps, Github Actions, Terraform) Who you are A driven, ambitious individual who's looking to build their career at an exciting fast-growing company. An independent worker who is able to proactively More ❯

BigQuery, Azure Synapse)? Select What best reflects your experience building ETL/ELT workflows with Apache Airflow (or similar) and integrating them into containerised CI/CD pipelines (Docker, GitHub Actions, Jenkins, etc.)? Select Which option best describes your experience building observability and automated anomaly detection tooling for data pipelines? Select What best describes your current location and working rights More ❯

integration workflows. Knowledge of agile practices and able to perform in agile software development environments. Strong knowledge of 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. Preferred Requirements Experience with Docker or containerized applications, especially architecture of multi-container applications. More ❯

integration workflows. Knowledge of agile practices and able to perform in agile software development environments. Strong knowledge of 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. Preferred Requirements Experience with Docker or containerized applications, especially architecture of multi-container applications. More ❯

engineering guidelines. Contribute to the development and enhancing our systems Guide and educate other teams about effective ML practices and MLOps strategies. Systems: Google Cloud Platform services (Vertex AI), GitHub You'll be a successful Senior Machine Learning Engineer at OVO if you Experience leading technical ML projects. Excellent production-level programming skills in Python, including solid experience with software More ❯

logging/monitoring best practices. Knowledge of Docker, Kubernetes, EKS, ECS, and OCP, including their security considerations. Proficiency in integrating security into DevOps pipelines with tools such as Jenkins, GitHub, Artifactory, Terraform, and Vault. Common Security and Architecture Frameworks Security Frameworks: NIST Cybersecurity Framework (CSF) ISO 27001 and 27002 CSA CCM (Cloud Controls Matrix) CIS Controls Architecture Frameworks: SABSA (Sherwood More ❯

SQL Server, MySQL, or PostgreSQL), including schema design, query optimisation, and data manipulation. DevOps : Knowledge of Continuous Integration and Continuous Deployment (CI/CD) pipelines using tools such as GitHub Actions, Azure Pipelines. Basic understanding of cloud computing services (Google Cloud, Azure) and containerisation for deploying and managing applications. Collaboration with the business units & Pod involvement: Act as a liaison More ❯

tooling and processes, and promoting DataOps through leadership and user feedback initiatives. Requirements: Deploy and govern modern data stack technologies (e.g., Snowflake, Airflow, DBT, Fivetran, Airbyte, Tableau, Sisense, AWS, GitHub, Terraform, Docker) at enterprise scale for data engineering workloads. Develop deployable, reusable ETL/ELT solutions using Python, advanced SQL, and Jinja for data pipelines and stored procedures. Demonstrate applied More ❯

Hybrid - Dublin OR Belfast Location €80k-€105k/year + Benefits Your Role: Design and implement Kubernetes (EKS) platforms on AWS Maintain and optimize CI/CD pipelines using GitHub Actions and Harness.io Implement and manage observability with Datadog across platforms Support and enhance AWS cloud infrastructure Review, audit, optimize, and document deployment processes Adhere to change management processes aligned More ❯

understanding of Infrastructure-as-Code tools (e.g., Terraform ) and modular development best practices. Familiarity with agile methodologies and modern DevOps practices. Hands-on experience with tools like Git/GitHub and continuous deployment workflows. Preferred Skills Experience with Docker and multi-container application architecture. Backend development using FastAPI . Knowledge of AI/ML techniques , especially NLP and language models. More ❯