technology stacks, and ensure seamless delivery of solutions for payment processing, tokenisation, and transaction authorisation. Key Responsibilities . Translate business objectives into detailed architectural designs for enterprise-grade payment systems . Develop and maintain architectural frameworks, including data models, APIs, and distributedsystems . Oversee the integration of payment gateways and platforms with internal systems and … functions Common Technologies & Tools . Cloud: AWS, Google Cloud Platform (GCP), Azure . Programming: Java, Spring Boot . Containerisation: Docker . Modelling: UML . Payments: APIs, payment gateways, POS systemsMore ❯
Developer to join a leading technology business on a contract basis. This organisation is recognised for its engineering excellence and is seeking a Senior Go Developer to help scale distributedsystems and deliver high-performance solutions. In this role, the Senior Go Developer will design, develop, and implement data-intensive applications across the full engineering lifecycle. You'll … architect and deliver microservices-based systems using Go (Golang), AWS, Kubernetes, Docker, and Kafka, working closely with cross-functional teams to build scalable, reliable, and resilient platforms. You'll also play a key role in optimising system performance, improving reliability, and ensuring scalability, while contributing to code reviews, design discussions, and knowledge sharing across the engineering function. Senior Go More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Opus Recruitment Solutions Ltd
end, not just implement tickets. Deep understanding of Go’s concurrency model (goroutines, channels, memory model). Strong grasp of computer fundamentals: memory, CPU, I/O. Experience with distributedsystems, APIs, and cloud-native environments. Skilled in profiling, benchmarking, and optimizing Go applications. Demonstrated mentorship and leadership experience. Clear communication with both technical and non-technical stakeholders. … or calculus. Experience in regulated or mission-critical domains (gambling, HealthTech, finance, public sector). Familiarity with CI/CD pipelines, testing strategies, and DevOps. Exposure to low-level systems programming (C, Rust, or assembly). Track record of designing scalable architectures and making pragmatic trade-offs. This is a contract role , fully remote , and offers a chance to … work on high-impact systems with a team that values deep technical expertise and thoughtful engineering.If this sounds like something you’d be interested in, email your latest CV to More ❯
large-scale data sets Developing and optimising Python-based data ingestion tools Collaborating on the design and deployment of machine learning models Ensuring data quality, integrity, and performance across distributedsystems Contributing to data architecture and storage strategy design Working with cloud data platforms (AWS, Azure, or GCP) to deploy scalable solutions Monitoring, troubleshooting, and tuning Spark jobs More ❯
Role: Working as part of a team of engineers looking after cutting-edge infrastructure Working on greenfield Front Office projects Being a key member of a team working on distributedsystems Mentoring jr engineers Skills: 3+ years experience with Kotlin A passion for the highest quality code Knowledge of low latency Java is a huge plus (or at More ❯
looking for a candidate with expert knowledge of .NET and JS Typescript/React, database\SQL experience, and with a track record of delivery on large scale real-time distributed systems. Knowledge of the Fixed Income business would be beneficial but not required. Key Responsibilities: · Develop client and server-side components that integrate emerging AI LLM tools into front More ❯
Learning Engineer 3 Month Contract Initially with most probable extension Location- London- Working Remotely Are you a Senior ML Engineer with a passion for building large-scale, production-ready systems? We're looking for a talented professional to join a leading global digital entertainment platform. This is a fantastic opportunity to work on a 3-month contract with a … high probability of extension. The Role We need a Senior ML Engineer to help us design, build, and deploy robust machine learning systems that power our platform. You'll be a key part of our team, tackling complex challenges and ensuring our models are scalable and reliable in a production environment. What You'll Bring Production Experience : Proven track … Technical Skills : Strong proficiency in languages like Java, Scala, or Python . Deep Learning Frameworks : Hands-on experience with either PyTorch or TensorFlow . Experience : Previous experience working on distributedsystems is a plus. This is an urgent vacancy with deadline where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your More ❯
to deliver measurable business outcomes in complex or regulated environments. Strong knowledge of modern technology ecosystems, including cloud platforms (e.g., Microsoft Azure), enterprise applications, and integration technologies. Experience with distributedsystems, including event-driven and domain-driven designs. Skilled in developing and optimising architecture governance and assurance processes. Effective communicator able to influence and collaborate with stakeholders at More ❯
for front-end development and Node.js for back-end services. You'll manage complex data flows in PostgreSQL , utilize Redis for caching and performance optimization, and implement robust messaging systems such as Kafka . The role also includes responsibility for CI/CD pipelines, ensuring seamless deployment across multiple environments. This is an opportunity to work in a collaborative … access. Develop and maintain CI/CD pipelines to support efficient and reliable code delivery across staging and production environments. Design and integrate APIs, third-party services, and internal systems to enhance application functionality. Deploy and maintain applications on remote Linux/Windows servers, handling configuration, security, and monitoring. Manage messaging services using Kafka (or equivalent), ensuring reliable data … flow across distributed systems. Troubleshoot, debug, and resolve production issues quickly to minimize downtime. Produce comprehensive documentation including system architecture diagrams, API specifications, and deployment guides. Collaborate closely with UI/UX designers , QA engineers , and product managers to ensure high-quality deliverables that meet user needs. Stay current with emerging technologies, frameworks, and industry best practices, applying them More ❯