76 to 100 of 624 PostgreSQL Jobs in England

Code Standards. Experience in CICD Pipelines and tools such as Harness, Ansible, Tekton, Jenkins, SonarQube, Junit/Cucumber, Observability (e.g: Prometheus, Grafana, Splunk), etc. Experience in database (e.g: Oracle, Postgres, MongoDB, Redis, Cassandra, or similar). Experience in AI Engineering Solutions (e.g: Copilot, Agentic AI, Devin.ai or similar, LLMs, etc). Demonstrated Subject Matter Expert (SME) in area(s) of More ❯

Tech we use (don’t worry if you’re not fluent in all of it — you’ll have time to learn): Java (main language) | Spring Boot | Python (for analytics) | Postgres | MongoDB | Kafka | AWS | GCP We’d love to hear from you if you: Have strong Java skills and can take the lead on complex changes. Care about writing clean, maintainable More ❯

automated testing frameworks like Playwright Experience with profiling tools and load testing Commercial experience with Java or JVM languages (Groovy, Scala, Kotlin ) API Engineering expertise Relational database knowledge, e.g., PostgreSQL DevOps skills: CI/CD, Docker, Git Additional skills that are a plus: Understanding of Software Engineering Principles: SOLID, design patterns, TDD, BDD, DDD, Enterprise Architecture Frontend technologies: HTML, CSS More ❯

profiling tools and load testing Commercial experience with a core programming language like Java or JVM languages (Groovy, Scala, Kotlin ) Expertise in API Engineering Experience with relational databases like PostgreSQL DevOps: CI/CD, Docker, Git The following skills and technologies are a plus: Understanding of Software Engineering Principles: SOLID, design patterns, TDD, BDD, DDD, Enterprise Architecture Patterns Frontend Technologies More ❯

and fraud prevention. Our backend engineers mostly work with Python and Django on an increasingly more service-oriented architecture. The rest of the tech stack includes Django REST Framework, PostgreSQL, AWS, React.js, Kubernetes, Docker, Redis, Celery, Pandas, Numpy, Git, Jenkins, and Elasticsearch. We have a very large but clean code base as we put significant emphasis on design patterns, code More ❯

Deep expertise in TypeScript , ReactJS , Node.js , and RESTful API development . Experience with microservices , event-driven architecture , and cloud-native development . Strong understanding of SQL and NoSQL databases (PostgreSQL, DynamoDB, Redis). Proficient in AWS cloud services especially Lambda, SQS, S3, Cognito, API Gateway, EventBridge, etc. Hands-on experience with DevOps practices (CI/CD pipelines, Docker, GitHub Actions More ❯

environments such as AWS or Azure. Experience of Test-Driven Development (TDD) and Behaviour Driven Development (BDD) practices and techniques. Experience of SQL and NoSQL database applications such as Postgres, MySQL and MongoDB. Experience of working within a Software engineering team, communicating with stakeholders, ensuring standards are adhered to and agreed ways of working are followed. Technical statement - This is More ❯

knowledge of a diverse technology stack Ideally, you would also have: Understanding of embedded/resource constrained devices Experience with Docker and Kubernetes Experience with SQL databases such as PostgreSQL Experience of machine learning applications Experience with media streaming applications Experience in defence or defence technology Note: We want Arondite to bring together individuals from diverse backgrounds and perspectives. We More ❯

tasks from start to finish Preferred Experience 3+ years of professional software engineering experience Familiarity with GraphQL, gRPC, REST API design Experience with relational databases such as MySQL or PostgreSQL Exposure to AI, LLM integrations, or symbolic/neural hybrid systems Background in enterprise SaaS delivery or platform engineering Why Join Us? Work at the frontier of AI, logic-based More ❯

and service mesh technologies (e.g., Istio, Calico). Exposure to Kafka and its ecosystem (Kafka Connect, ksqlDB). Expertise in debugging complex distributed systems. Familiarity with relational databases (MySQL, PostgreSQL, Oracle). Benefits: 25 days holiday and increases with service Excellent Share Incentive Scheme Life insurance Simply Health scheme Access to group Bupa membership scheme. Pension scheme Discretionary annual bonus More ❯

and service mesh technologies (e.g., Istio, Calico). Exposure to Kafka and its ecosystem (Kafka Connect, ksqlDB). Expertise in debugging complex distributed systems. Familiarity with relational databases (MySQL, PostgreSQL, Oracle). Benefits: 25 days holiday and increases with service Excellent Share Incentive Scheme Life insurance Simply Health scheme Access to group Bupa membership scheme. Pension scheme Discretionary annual bonus More ❯

and fraud prevention. Our backend engineers mostly work with Python and Django on an increasingly more service-oriented architecture. The rest of the tech stack include Django REST Framework, PostgreSQL, AWS, React.js, Kubernetes, Docker, Redis, Celery, Pandas, Numpy, Git, Jenkins and Elasticsearch. We have a very large but clean code base as we put significant emphasis on design patterns, code More ❯

prioritized Bachelor's Degree in Programming, Computer Science, or Engineering-related field. Preferred Qualifications Proven expertise and experience with database technologies including NoSQL databases like MongoDB, RDBMS such as Postgres and MySQL Exposure to Docker, Kubernetes, AWS, Helm, Terraform, Vault, Grafana, ELK Stack, New Relic Relevant experience in the maintenance of data APIs and data lake architectures, including experience with More ❯

legislation Effective support and maintenance of the system components Essential Skills: Significant commercial experience with the following technology: Java 17+ Spring boot microservices Data modelling and SQL development, ideally PostgreSQL REST APIs AWS, AWS Lambda, S3, Typescript Modern DevOps and CI/CD practices including deployment pipelines Details:- 6 month contract Remote role (with very occasional office attendance, average More ❯

Experience: 10+yearsinsoftwaredevelopment, 6+yearsinJava/AWSmicroservicesarchitecture . Strongknowledgeof RESTfulAPIs , OOPprinciples ,and designpatterns . Hands-onwith AWS&GCP , Docker , Kubernetes , Git , Jenkins , Terraform and CI/CDpipelines . Proficientwith relational&NoSQLdatabases (PostgreSQL,DynamoDB). Strong problem-solving,debugging,andstakeholdermanagement skills. Desirable: Experiencewith asynchronousprogramming and messagebrokers (SQS/SNS). Cloudcertifications (AWS/AzureArchitect,TOGAF). Familiaritywith integrationpatterns . Proficiencywith JavaJDK17/ More ❯

legislation * Effective support and maintenance of the system components Essential Skills: Significant commercial experience with the following technology: * Java 17+ * Spring boot microservices * Data modelling and SQL development, ideally PostgreSQL * REST APIs * AWS, AWS Lambda, S3, Typescript * Modern DevOps and CI/CD practices including deployment pipelines Details:- 6 month contract Remote role (with very occasional office attendance, average More ❯

Development (TDD), and Behavior-Driven Development (BDD). Experience with large microservice architectures. - Expertise in implementing APIs for both internal and external use. Knowledge of database management, including SQL, PostgreSQL, MySQL, MongoDB, and Cassandra, along with SQL tuning. Proficiency in the Spring framework, including Spring Boot, Spring Security, and Spring Batch. Experience with containerization using Docker and Kubernetes. Familiarity with More ❯

deploy serverless applications using Google Cloud Functions (Python or Node.js). Build and optimise data pipelines with Google Cloud Dataflow . Manage and query relational databases using Cloud SQL (PostgreSQL/MySQL). Implement file operations and workflow triggers via Cloud Storage . Configure access controls and permissions with Google Cloud IAM . Integrate and manage APIs using Apigee API More ❯

Capabilities: Experience with version control systems (GIT). Knowledge of configuration management tools (Ansible, Chef, Puppet). Exposure to Agile methodologies and DevOps practices. Understanding of database services (MySQL, PostgreSQL, DynamoDB, etc.). Risk, Financials, Process and Change Capabilities: Ability to assess and mitigate risks associated with cloud implementations. Ensure compliance with regulatory requirements concerning cloud operations. Personal Attributes: Strong More ❯

develop, and deploy applications using Google Cloud Functions (Python or Node.js). Implement and optimize data pipelines using Google Cloud Dataflow. Manage and query relational databases using Cloud SQL (PostgreSQL/MySQL). Handle file operations and trigger-based workflows using Google Cloud Storage. Configure and manage access controls using Google Cloud IAM (service accounts and permissions). Integrate and More ❯

t need them all-expertise in any of these is welcome!) Languages: Go, Node.js, Java, Rust, Ruby on Rails Messaging & Stream Processing: gRPC, RabbitMQ, NATS Jetstream Datastores: Redis, ClickHouse, PostgreSQL, MongoDB Cloud & Infra: Docker, Kubernetes, CI/CD pipelines Architecture: Microservices, real-time APIs, event-driven systems What You'll Do Architect and develop backend systems for real-time sports More ❯

years of backend engineering experience Strong coding skills in Golang (preferred), Java, or another typed language Hands-on experience with RESTful APIs , microservices architecture , and NoSQL/Postgres Familiarity with CI/CD tools such as Jenkins and Git Clear communicator with strong teamwork and problem-solving skills Desirable Skills: Experience with Kafka, GraphQL, gRPC, Docker Test-driven development (TDD More ❯

engineering practices, tools, and workflows. Troubleshoot, diagnose, and resolve complex technical issues to ensure system reliability. Requirements Proven experience with the core tech stack: Node.js , Typescript, Next.js , Python, MongoDB, PostgreSQL, AWS, Docker, RabbitMQ, and Elastic Search. Strong understanding of scalable architecture, design patterns, and system security. Hands-on experience with agile methodologies and trunk-based development. Solid expertise in database More ❯

knowledge of Amazon Web Services (AWS) and cloud-native development Experience with RESTful API design and frameworks such as FastAPI, Flask, or Django Proficient in working with relational databases (PostgreSQL, MySQL) and ORMs (e.g., SQLAlchemy) Familiarity with Docker , container orchestration, and infrastructure-as-code (e.g., Terraform or CloudFormation) Solid understanding of software engineering best practices, including version control, testing, and More ❯

engineering at expert level with Python. Experience building with generative AI applications in production environments. Expertise with microservices architecture and RESTful APIs. Solid understanding of database technologies such as PostgreSQL and vector databases as Elastic, Pinecone, Weaviate, or similar. Familiarity with cloud platforms (AWS, GCP, etc.) and containerized environments (Docker, Kubernetes). You are committed to writing clean, maintainable, and More ❯