development. Proficiency in Java, Python, JavaScript, Angular, and NodeJS. Experience with RESTful APIs, microservices, and event-driven architectures. Solid understanding of data structures, algorithms, and database technologies (SQL and NoSQL). Experience with cloud technologies (e.g., AWS, Azure, GCP) and messaging systems like Kafka. Knowledge of software design patterns, architectural principles, and best practices. Experience with DevOps practices, CI/ More ❯
Expertise : Strong proficiency in Java development, including Spring Framework, Spring Boot, and JVM optimisation techniques for high-performance applications. Database Management : Proficiency with both relational databases (Oracle, PostgreSQL) and NoSQL solutions, with strong SQL skills and data modelling capabilities. API Development : Strong capabilities in designing and implementing RESTful APIs with a focus on security, performance, and usability. Master Data Concepts More ❯
techniques and tools to ensure and measure success. Demonstrable experience of: Public Cloud. Infrastructure build and configurations of a variety of services including Compute, Storage, Networking. Linux. Relational and NoSQL databases. Integration services such as messaging and streams. Building RESTful API Services. Containerisation, Kubernetes, serverless functions. Microservices, and distributed tracing. Enterprise logging, monitoring, and alerting frameworks (e.g., ELK, Splunk, Prometheus More ❯
experience with backend development using Node.js, Python, or Java. Familiarity with AWS services such as Lambda, API Gateway, DynamoDB, RDS, and IAM. Experience working with relational (PostgreSQL, MySQL) and NoSQL (DynamoDB, MongoDB) databases. Understanding of unit testing, integration testing, and debugging techniques. Knowledge of Git, version control, and deployment automation practices As an equal opportunities' employer, we welcome applications from More ❯
specified programming languages (Python, Node.js, Kotlin or Java) and their associated frameworks. • Has a strong experience with database design and management, including both SQL (PostgreSQL or MySQL) and potentially NoSQL databases. • Has hands-on experience with RESTful API design and microservices architecture. • Demonstrates a strong understanding of security best practices and compliance standards like PCIDSS and GDPR. • Has experience integrating More ❯
specified programming languages (Python, Node.js, Kotlin or Java) and their associated frameworks. • Has a strong experience with database design and management, including both SQL (PostgreSQL or MySQL) and potentially NoSQL databases. • Has hands-on experience with RESTful API design and microservices architecture. • Demonstrates a strong understanding of security best practices and compliance standards like PCIDSS and GDPR. • Has experience integrating More ❯
the fly. Exposure to Scala, or functional programming generally. Exposure with highly concurrent, asynchronous backend technologies, such as Ktor, http4k, http4s, Play, RxJava, etc. Exposure with DynamoDB or similar NoSQL databases, such as Cassandra, HBase, BigTable, or Cosmos DB. Exposure with Git workflows, and the ability to tailor the workflow to project needs. Exposure with containerised application deployment using Docker More ❯
a means to solve challenges. Proficiency in a programming language (e.g., Scala, Python, Java, C#) with understanding of domain modelling and application development. Knowledge of data management platforms (SQL, NoSQL, Spark/Databricks). Experience with modern engineering tools (Git, CI/CD), cloud platforms (Azure, AWS), and Infrastructure as Code (Terraform, Pulumi). Familiarity with various frameworks across front More ❯
Experience working with PostgreSQL and relational databases Familiarity with ElasticSearch or similar search/analytics engines Basic understanding of data modeling and database design Experience with both relational and NoSQL databases Exposure to Databricks or similar big data platforms is a plus Understanding of ETL concepts and data processing workflows Knowledge of AWS RDS or managed database services Leadership & Communication More ❯
clearance is a bonus – otherwise, you must be eligible Nice to have (or we’ll help you get there): Cloud platforms (AWS, Azure) Containerisation (Docker, Kubernetes) Database systems (SQL, NoSQL, Graph) Configuration & deployment tools (Ansible) Exposure to Machine Learning frameworks (TensorFlow, AWS/Azure ML) The Package Up to £72,000 base salary Bonus scheme Hybrid working – London or Manchester More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Anson McCade
clearance is a bonus – otherwise, you must be eligible Nice to have (or we’ll help you get there): Cloud platforms (AWS, Azure) Containerisation (Docker, Kubernetes) Database systems (SQL, NoSQL, Graph) Configuration & deployment tools (Ansible) Exposure to Machine Learning frameworks (TensorFlow, AWS/Azure ML) The Package Up to £72,000 base salary Bonus scheme Hybrid working – London or Manchester More ❯
london, south east england, united kingdom Hybrid / WFH Options
Anson McCade
clearance is a bonus – otherwise, you must be eligible Nice to have (or we’ll help you get there): Cloud platforms (AWS, Azure) Containerisation (Docker, Kubernetes) Database systems (SQL, NoSQL, Graph) Configuration & deployment tools (Ansible) Exposure to Machine Learning frameworks (TensorFlow, AWS/Azure ML) The Package Up to £72,000 base salary Bonus scheme Hybrid working – London or Manchester More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Anson McCade
clearance is a bonus – otherwise, you must be eligible Nice to have (or we’ll help you get there): Cloud platforms (AWS, Azure) Containerisation (Docker, Kubernetes) Database systems (SQL, NoSQL, Graph) Configuration & deployment tools (Ansible) Exposure to Machine Learning frameworks (TensorFlow, AWS/Azure ML) The Package Up to £72,000 base salary Bonus scheme Hybrid working – London or Manchester More ❯
patterns Experience with cloud platforms (AWS, GCP, Azure) and containerisation (Docker; Kubernetes a plus) Strong software engineering fundamentals: clean code, testing, performance optimisation, OOP, algorithms Familiar with SQL and NoSQL databases (PostgreSQL, MongoDB) and CI/CD pipelines Comfortable in fast-changing environments with a strong sense of ownership and collaboration Growth mindset with a curiosity for AI-driven tooling More ❯
End Development (e.g., HTML, CSS, JavaScript, React, Angular, Vue.js) Back-End Development (e.g., Node.js, Python/Django/Flask, Java/Spring, Ruby on Rails) Database Management (e.g., SQL, NoSQL, PostgreSQL, MongoDB) Version Control (e.g., Git, GitHub) API Development and Integration (RESTful APIs) Data Structures and Algorithms Testing and Debugging Deployment and Cloud Platforms (e.g., AWS, Azure, Google Cloud) Software More ❯
proficiency in Python • Extensive experience with cloud platforms (AWS, GCP, or Azure) • Experience with: o Data warehousing and lake architectures o ETL/ELT pipeline development o SQL and NoSQL databases o Distributed computing frameworks (Spark, Kinesis etc) o Software development best practices including CI/CD, TDD and version control. o Containerisation tools like Docker or Kubernetes o Experience More ❯
or Bash scripting Knowledge of cloud security best practices (e.g. IAM, encryption, vulnerability management) Familiar with Docker, Kubernetes, serverless, and event-driven architectures Comfortable working with both SQL and NoSQL databases A passion for engineering excellence and staying on top of emerging tech Eligible for SC or DV clearance (current clearance a strong plus) Nice to have: Experience leading teams More ❯
in our team to understand business requirements, dependencies and timelines; Your professional experience Minimum of 8 years experience building products Software development experience working with the following: SQL or NoSQL databases (SQL Server or MongoDB preferred); Containerisation; Familiar with Generative AI prompt-based development acceleration/research; Experience developing multi-layered products as a full stack developer, Experience with Azure More ❯
etc. Exposure to polyglot programming languages like Scala, Python and Golang will be a plus Ability to read/write code and expertise with various design patterns Have used NoSQL databases such as MongoDB, Cassandra, etc. Responsibilities include: Work on opportunities along with sales, practice, delivery teams through the pre-sales process Develop customer proposals - solution architecture, pitch decks, estimating More ❯
a proventrack record of developing high-performance commercial softwareand scalable services. Expertise in TypeScript and Node.js ; knowledge of Python is a plus. Experience working with SQL and/or NoSQL technologies like MySQL , MongoDB , and DynamoDB etc., graph databases like Neo4j is aplus. Solid understanding of cloud ecosystems : Azure , AWS , or GCP . Hands-on experience with Docker, Kubernetes , or More ❯
in both Frontend and Backend software solution development Experience with Agile development methodologies and SecDevOps practices. Excellent knowledge of secure coding practices inline. Strong knowledge of databases, SQL, and NoSQL, as well as data structures and algorithms. Excellent problem-solving skills and the ability to work in a fast-paced, evolving environment. Strong communication and collaboration skills, with the ability More ❯
Understanding of modern build tools and workflows Backend Development Solid experience with Node.js and server-side JavaScript Knowledge of RESTful API design and development Experience with databases (SQL and NoSQL) Understanding of authentication and security best practices General 2-3 years of experience as a Software Engineer Version control with Git Experience with testing frameworks and methodologies Understanding of agile More ❯
and development, and familiarity with web services architecture. Ability to write efficient, secure, well-documented, and clean JavaScript code. Familiarity with database technologies, both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB), and an understanding of data modeling principles. Strong problem-solving skills and the ability to work independently or as part of a team. Excellent communication and collaboration skills More ❯
e.g., spatial queries, coordinate systems, projections). Experience with geospatial analytics tools such as ArcGIS, QGIS, or similar platforms is a plus. Data Modeling & Querying: Experience with SQL and NoSQL databases, including spatial databases (PostGIS, MongoDB, Elasticsearch), for storing and querying geospatial and big data. Preferred Qualifications: Degree or higher in Computer Science, Geospatial Intelligence, Data Science, or related field. More ❯
