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Backend Scala Developers in United Kingdom

Developed scalable microservices for real-time financial transaction processing, leveraging event-driven architecture to ensure low-latency data handling. Designed and implemented distributed systems for high-availability cloud environments, focusing on fault tolerance and resilience.

• Architected RESTful APIs for cross-platform data integration
• Optimized distributed system performance for 100,000+ concurrent users
• Implemented message-driven microservices using Kafka and Akka
• Designed scalable data pipelines for real-time analytics

Designed functional programming solutions with Haskell, Rust, and Go. Expert in building high-concurrency systems on Linux platforms for secure applications.

• Developed Haskell-based solutions
• Built high-concurrency systems
• Secured applications on Linux

Built full-stack systems spanning frontend delivery, backend services, relational database design, and deployment operations. Implemented Kafka-based ingestion across multiple servers with Spark processing for real-time analytics and data storage.

• Erlang development on the BEAM runtime
• Continuous integration for rapidly changing feature releases
• ScalaTest, Cucumber, and Selenium test automation
• Unit, acceptance, integration, and performance testing

Leads full-stack systems for standardisation, scholarly publishing, and legal workflows, combining Scala and Java services with XML transformation and document-query technologies. Builds and maintains long-lived client platforms using MarkLogic, PostgreSQL, Elasticsearch, Play Framework, Akka, and ZIO across cloud-deployed infrastructure.

• Designed XML pipelines with XSLT, XQuery, and XProc
• Implemented schema-driven document processing
• Automated infrastructure provisioning with Terraform and AWS
• Maintained containerised delivery through Docker and GitLab CI

Specialized in building high-availability distributed systems for financial transaction processing, handling millions of transactions per second. Developed a microservices architecture for a real-time analytics platform, optimizing data throughput and latency. Implemented consensus protocols to ensure data integrity across a multi-region cloud infrastructure.

• Architected a scalable event-driven messaging system using Kafka
• Designed RESTful APIs for a global e-commerce platform
• Integrated Rust for performance-critical components in data pipelines
• Optimized SQL queries for a 10TB data warehouse

Architected and implemented a distributed microservices architecture on Google Cloud Platform, optimizing for scalability and resilience. Led the design and deployment of a real-time data processing pipeline using Node.js and Docker, handling millions of transactions per day. Specialized in building secure, high-performance APIs with Nestjs, integrating seamlessly with existing enterprise systems.

• Implemented CI/CD pipelines using GitHub Actions for automated deployments.
• Developed containerized applications with Docker for efficient resource utilization.
• Optimized TypeScript codebases for performance and maintainability.
• Migrated legacy systems to cloud-native architectures on Google Cloud Platform.

Developed and optimized ETL pipelines for large-scale data ingestion using Snowflake. Specialized in data analytics and visualization, creating complex SQL queries and Python scripts for data transformation. Implemented containerized solutions using Docker and Podman for streamlined deployment processes.

• Built predictive models using R for financial data analysis
• Automated reporting systems for real-time business intelligence
• Designed scalable database schemas for enterprise applications

Developed a high-performance data processing pipeline utilizing fs2 for real-time analytics in the financial sector. Implemented RESTful APIs with http4s for a microservices architecture supporting thousands of concurrent users. Spearheaded the integration of Smithy4s for seamless service communication and contract-first API development.

• Optimized stream processing with Cats Effect for low-latency operations
• Enhanced API security using functional programming paradigms
• Contributed to open-source projects in the Cats ecosystem
• Built a custom serialization framework for domain-specific data formats

Built Scala and Play services for organisational data governance, integrating GCP Data Catalog, policy-tag APIs, BigQuery, and SQL-backed metadata workflows. Delivered internal tooling that enabled approximately 15–20 engineering teams to trace dataset ownership and identify accountable maintainers.

• Implemented Kubernetes deployments with Terraform-managed GCP infrastructure
• Developed REST APIs with WireMock and Mockito coverage
• Applied MongoDB and microservice architecture patterns
• Automated delivery through CircleCI and GitHub Actions

Architected and managed large-scale data processing pipelines using Apache Spark, achieving real-time analytics capabilities. Led the migration of legacy systems to a cloud-based data lake architecture, improving data accessibility and scalability. Developed machine learning models for predictive analytics within the financial sector.

• Integrated Kafka streams for real-time data ingestion
• Enhanced ETL processes with Scala and functional programming
• Implemented robust data governance frameworks in Hadoop
• Optimized Spark jobs for cost-effective resource usage

Pioneered cloud migration strategies leveraging Amazon Cloud services and Apache Kafka. Developed streaming solutions with Akka HTTP and Akka Streams for IoT data.

• Optimized Spark workloads for cost-effective cloud usage
• Led agile teams through complex project lifecycles
• Standardized API development for cross-platform compatibility

Engineered enterprise-level applications using Java and Spring Boot with a focus on transactional consistency. Developed complex UI components in React for dynamic web applications. Extensive experience with JPA for ORM solutions in large-scale systems.

• Engineered Java-based enterprise applications
• Developed React-based dynamic UIs
• Implemented JPA for large-scale ORM

Architected large-scale distributed systems for cloud-based applications, leveraging Rust for performance-critical components. Developed cross-platform frameworks in C++ to support multi-device interoperability in consumer electronics. Pioneered the use of Rust in high-security environments, ensuring robust and fault-tolerant systems.

• Designed real-time communication protocols for IoT devices
• Optimized C# performance in enterprise applications
• Integrated machine learning models into legacy systems

Led the development of a cloud-native platform for enterprise resource planning. Pioneered the use of NoSQL databases to handle unstructured data in distributed systems. Designed a multi-tenancy architecture that supports thousands of concurrent users.

• Migrated legacy systems to a microservices architecture
• Optimized Oracle database queries for large datasets
• Implemented data replication strategies in MongoDB
• Authored technical whitepapers on NoSQL database use cases