401 to 425 of 1,359 PostgreSQL Jobs in the UK

networking). Our tech stack Languages: Go, Rust, TypeScript Cloud: AWS, Azure, Google Cloud, Cloudflare Infrastructure: Kubernetes, Terraform, Temporal, OpenTelemetry, CI/CD Data: PostgreSQL, ClickHouse, Firestore, Spanner, BigQuery #J-18808-Ljbffr ...

Strong experience working with AWS cloud technologies, including services such as S3 and Redis, to build resilient and highly available solutions. Solid knowledge of PostgreSQL and SQL, with the ability to design, optimise and support robust data-driven applications. Experience integrating complex systems and services, alongside a strong understanding ...

with cross‐functional teams, including Product Managers and Product Designers, to ensure delightful customer experiences. You have hands‐on experience with core technologies, including PostgreSQL and containerisation (Docker with Kubernetes deployment is preferred). Interview Process Talent Team Screen (30 mins) Pair Programming Interview (90 mins) System Design (90 mins ...

growing our team to allow us to expand the use of Dentally across the globe. Our Tech and Tools Ruby, Ruby on Rails, Ember.js Postgres, Redis Puma, Sidekiq Heroku, AWS GitHub Asana, Slite, Slack, New Relic The way we work We look for problem solvers, not ticket takers. ...

Unit Testing Have understanding or experience working with AWS or similar cloud technologies Our Tech Stack Languages & Frameworks: C# (.NET 6–8) Databases: DynamoDB, PostgreSQL Cloud & Infrastructure: AWS Cloud, Docker, Terraform CI/CD & DevOps: GitHub Actions Monitoring & Logging: New Relic, ELK Stack More information: Enjoy fantastic perks like private ...

independently. Experience of working with cloud infrastructure (Azure or AWS, GCP is beneficial) SQL and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL) You have framework experience within either Flask, Tornado or Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with ...

independently. Experience of working with cloud infrastructure (Azure or AWS, GCP is beneficial) SQL and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL) You have framework experience within either Flask, Tornado or Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with ...

provide scalable platform solutions. Continuously improve developer experience and platform adoption across the organization. Tech Stack: Backend Python FastAPI Agent Development Kit (ADK) Datastores PostgreSQL BigQuery Firestore Infrastructure Google Cloud Platform (GCP) RabbitMQ Terraform Monitoring & Observability Grafana Prometheus Langfuse incident.io Sentry What to Expect from Our Hiring Process At Plum ...

proven experience in their technologies You have experience in database technologies including writing complex queries against their (relational and non-relational) data stores (e.g. Postgres, Hadoop, Elasticsearch, Graph databases), and designing the database schemas to support those queries You have a good understanding of coding best practices and design patterns ...

Context Protocol (MCP) and AI/data/service integration is highly desirable. Strong understanding of REST APIs, networking, databases and CLI tooling , with Postgres/Oracle experience preferred. Experience with CI/CD and modern DevOps tooling such as Jenkins, uDeploy, Tekton, Harness or equivalent. Demonstrable ability to shape ...

experience, leadership experienceExperience of working with cloud infrastructure (Azure or AWS, GCP is beneficial)SQL and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL)You have framework experience within either Flask, Tornado or Django, DockerExperience working with ETL pipelines is desirable e.g. Luigi, Airflow or ArgoExperience with big data ...

NumPy, Pandas, Matplotlib, GDAL, GRASS, scikit-learn, TensorFlow for geospatial data analysis. Demonstrable experience in developing, setting up and configuring spatial databases such as PostgreSQL/PostGIS, MS SQL Spatial and any other big data platform like MongoDB. Sufficient understanding of Vector Databases for the implementation of AI modules ...

essential: Exposure to Pure FP ecosystems/libraries (Typelevel Stack/Cats/Cats-Effect) or Tagless Final patterns .Familiarity with relational databases (e.g., PostgreSQL) or caching stores (e.g., Redis) .Awareness of containerization (Docker) and basic cloud architecture (AWS) .Awareness of CI/CD principles and automated integration pipelines (GitHub ...

Strong experience working with AWS cloud technologies, including services such as S3 and Redis, to build resilient and highly available solutions. Solid knowledge of PostgreSQL and SQL, with the ability to design, optimise and support robust data-driven applications. Experience integrating complex systems and services, alongside a strong understanding ...

sector specific knowledge or experience Organisational ability, people skills and project management potential Previous consulting experience and experience with: Relational databases, e.g. SQL Server, PostgreSQL, Oracle, MySQL; Data visualisation software: Spotfire, Tableau, or Power BI; Azure cloud computing platform; Big data technologies such as Spark, Elasticsearch, Hadoop; Statistical techniques (regression ...

Experience building in a cloud-native environment, preferably GCP — Kubernetes, Cloud Functions, Pub/Sub, managed databases Solid understanding of SQL and NoSQL databases — Postgres, MongoDB, Redis Experience owning production systems — logs, incident triage, fixes under pressure A real commitment to software quality — testing strategy, code review, regression prevention Security ...

processing engines such as Apache Spark, with a solid understanding of data structures and algorithms. Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL) or NoSQL databases (e.g., MongoDB, Cassandra). Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data-related services (e.g., S3, Redshift, BigQuery ...

open models, agent frameworks, MCP, RAG. AI evaluation & observability — LangFuse, LangSmith, Braintrust, MLflow. Data & retrieval — vector databases, feature stores. Messaging — Apache Kafka, SQS. Databases — PostgreSQL, Redis. Infrastructure — AWS, Kubernetes, Docker, Terraform. Observability — Datadog, OpenTelemetry. CI/CD — GitHub Actions, ArgoCD. Version Control — Git/GitHub. What We Offer at Yuno ...

Technical Expertise: Strong proficiency in modern backend languages (ideally Go or Python) and experience building distributed, cloud-native systems (Kubernetes, AWS/GCP, gRPC, PostgreSQL). Problem Solving: A proven track record of breaking down ambiguous, and complex problems into clear, deliverable milestones. Production Operations: Experience supporting high-throughput systems ...

distributed systems design and the software development lifecycleExperience building large scale data/event pipelinesExpertise designing solutions with relational SQL and NoSQL databases, including Postgres/MySQL, Cassandra, DynamoDBGood test driven development disciplineReasonable proficiency with Linux administration toolsProven ability to work effectively with remote teams"Experience with the Following ...

application and public API. In practice, this means you’ll: Design, build, and maintain backend services using our tech stack, which includes: Go and Postgres Cassandra, TimescaleDB, S3 and Athena Pulsar for event-driven design AWS for infrastructure GitLab for version control and code management, and CI/CD Contribute ...

Strong experience working with AWS cloud technologies, including services such as S3 and Redis, to build resilient and highly available solutions. Solid knowledge of PostgreSQL and SQL, with the ability to design, optimise and support robust data-driven applications. Experience integrating complex systems and services, alongside a strong understanding ...

using modern frameworks and technologies (e.g., Docker, K8s) to build high-throughput, low-latency systems. Practical experience in designing APIs and managing databases (e.g., PostgreSQL, MongoDB), with a keen eye for query optimization and efficient data storage & handling. Firm grasp of distributed systems concepts and techniques – microservices, load balancing, caching ...

infrastructure (Azure, AWS, or GCP). Agile Delivery: Experience working in an Agile development environment. Data Engineering: Proficiency in SQL and relational databases (e.g., PostgreSQL, DuckDB). Experience with the modern data stack, building data ingestion pipelines and working with ETL and orchestration tools (e.g., Airflow, Luigi, Argo ...

.Familiarity with data visualization tools and business intelligence (e.g., Power BI). Solid grasp of ETL workflows within databases/warehouses such as Oracle, PostgreSQL, SQL Server etc. Excellent problem-solving and interpersonal skills. Preferred Qualifications: Experience with machine learning frameworks and tools such as Azure ML Studio, AWS Sagemaker ...