51 to 75 of 397 GitHub Jobs in London

and revise Service Level Indicators (SLIs); Practice sustainable incident response and blameless postmortems. What You'll Bring Deep familiarity building and troubleshooting release and build pipelines (ex Jenkins, buildkite, GitHub actions) Experience implementing creative approach in monitoring distributed systems while leveraging industry best practices (ex instrumenting tagging taxonomy across disparate systems) Experience building, managing, and deploying an application utilizing containerized More ❯

can be applied to Data Engineering processes/solutions (e.g. access management, data privacy, handling of sensitive data (e.g. GDPR). Experience with CI/CD tools, in particular GitHub actions. Hands-on IaC development experience with Terraform or CloudFormation. Hands-on development experience in an airline, e-commerce or retail industry Experience in event-driven architecture, ingesting data in More ❯

data management, Data analysis, visualization (Power BI) and stakeholder management is required. Proficient in back-end development using Python. Proficient in Cloud Native Deployment with CI/CD Pipelines (GitHub Actions or Azure DevOps) and serverless containers (Kubernetes, Docker). Experience in Agile methodology, applying the best architectural, design, and unit testing patterns & practices with an eye for code quality More ❯

wider tech community Tech You'll Work With: AWS (SDK, CDK, Lambda, Step Functions) Node.js Java (Spring Boot) Terraform/CloudFormation SQL, GraphQL Postgres, DynamoDB (nice to have) Kubernetes, GitHub Actions, Quarkus (nice to have) What You'll Bring: Proven experience building distributed systems and serverless applications Strong grasp of clean code principles and software testing Familiarity with CI/ More ❯

Python with a strong understanding of object-oriented programming, testing frameworks, and automation libraries. Experience building or validating platform infrastructure, with hands-on knowledge of CI/CD systems, GitHub Actions, Jenkins, or similar tools. Solid experience with AWS services (Lambda, S3, ECS/EKS, Step Functions, CloudWatch). Proficient in Infrastructure as Code using Terraform to manage and provision More ❯

with less stress. What you’ll do * Solve core infrastructure and systems challenges * Build and maintain REST APIs * Improve CI/CD for faster, repeatable releases * Modernise TeamCity into GitHub Actions * Transition .NET APIs into serverless JS & Lambda * Build provisioning tools and improve developer productivity * Shape AI pipelines for smarter reviews and automation What you'll get * Freedom to innovate More ❯

engineering, ideally in fast-paced environments. Skills: Proficiency in React, TypeScript, or similar JS frameworks. Knowledge of Node.js, Python, or Go is a plus. Tools: Familiarity with AWS, Docker, GitHub Actions, and monitoring tools like Grafana. Mindset: Passionate about improving developer workflows and creating exceptional user experiences. Knowledge: Exposure to AI technologies like OpenAI, ChatGPT, and fine-tuning models is 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 ❯

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 ❯

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 ❯

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 ❯

for: Strong skills in Python (3.11+) and OOP principles Experience with cloud architecture (AWS) and containerization Hands-on knowledge of SQL databases and ORM frameworks Familiarity with Agile workflows, GitHub, Jira, and modern CI/CD practices A problem-solver who thrives in dynamic, fast-paced environments Why join us? ✔️ Be part of a profitable, scaling startup with exciting growth More ❯

for: Strong skills in Python (3.11+) and OOP principles Experience with cloud architecture (AWS) and containerization Hands-on knowledge of SQL databases and ORM frameworks Familiarity with Agile workflows, GitHub, Jira, and modern CI/CD practices A problem-solver who thrives in dynamic, fast-paced environments Why join us? ✔️ Be part of a profitable, scaling startup with exciting growth More ❯

for: Strong skills in Python (3.11+) and OOP principles Experience with cloud architecture (AWS) and containerization Hands-on knowledge of SQL databases and ORM frameworks Familiarity with Agile workflows, GitHub, Jira, and modern CI/CD practices A problem-solver who thrives in dynamic, fast-paced environments Why join us? ✔️ Be part of a profitable, scaling startup with exciting growth More ❯

for: Strong skills in Python (3.11+) and OOP principles Experience with cloud architecture (AWS) and containerization Hands-on knowledge of SQL databases and ORM frameworks Familiarity with Agile workflows, GitHub, Jira, and modern CI/CD practices A problem-solver who thrives in dynamic, fast-paced environments Why join us? ✔️ Be part of a profitable, scaling startup with exciting growth More ❯

Doing: Designing and implementing GCP infrastructure (Compute Engine, GKE, Cloud Run, Pub/Sub, Cloud Functions, BigQuery, etc.). Building CI/CD pipelines using tools like Cloud Build, GitHub Actions, or Jenkins. Automating infrastructure with Terraform (or equivalent IaC tools). Implementing monitoring, logging, and alerting using Stackdriver/Cloud Monitoring. Ensuring security, scalability, and high availability across cloud More ❯