11 of 11 Contract Distributed Systems Jobs in England

alerting, and enable teams to self-serve their system metrics and traces. Implementation & Enablement: Assist digital engineering teams in implementing synthetic monitoring, health checks, observable CI/CD pipelines, distributed tracing, and cloud-native monitoring patterns. Partner with SRE, DevOps, and engineering teams to embed observability into digital platforms and services. Collaboration & Culture: Promote a culture of data-driven … track record implementing observability solutions in cloud-native environments (AWS, Azure, or GCP). Hands-on proficiency with observability tools such as Datadog, Grafana, Prometheus, OpenTelemetry. Strong knowledge of distributed systems, microservices, and container orchestration (Kubernetes, Docker). Experience with automation and Infrastructure as Code (Terraform, Ansible) and CI/CD pipelines. Familiarity with performance engineering, capacity planning More ❯

alerting, and enable teams to self-serve their system metrics and traces. Implementation & Enablement: Assist digital engineering teams in implementing synthetic monitoring, health checks, observable CI/CD pipelines, distributed tracing, and cloud-native monitoring patterns. Partner with SRE, DevOps, and engineering teams to embed observability into digital platforms and services. Collaboration & Culture: Promote a culture of data-driven … track record implementing observability solutions in cloud-native environments (AWS, Azure, or GCP). Hands-on proficiency with observability tools such as Datadog, Grafana, Prometheus, OpenTelemetry. Strong knowledge of distributed systems, microservices, and container orchestration (Kubernetes, Docker). Experience with automation and Infrastructure as Code (Terraform, Ansible) and CI/CD pipelines. Familiarity with performance engineering, capacity planning More ❯

Secure coding, vulnerability scanning, dependency management, compliance alignment. Infrastructure Automation: Terraform, Ansible, Docker. Programming: Proficiency in Python and Node.js. API Management: Apigee or equivalent platforms. Architecture: Strong understanding of distributed systems, resilience engineering, and secure design. Soft Skills: Excellent communication, stakeholder engagement, and leadership capabilities. More ❯

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 distributed systems 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 ❯

TypeScript, working with a variety of technologies, including ReactJS, MongoDB, PostgreSQL. Experience using Kubernetes, Docker, and Jenkins, for containerisation and CI/CD is a plus. Knowledge of scalable distributed systems with a deep understanding of object-oriented design and design patterns. Knowledge of designing APIs and microservices. Experience working on web technologies. Deep understanding of messaging systems. More ❯

TypeScript, working with a variety of technologies, including ReactJS, MongoDB, PostgreSQL. Experience using Kubernetes, Docker, and Jenkins, for containerisation and CI/CD is a plus. Knowledge of scalable distributed systems with a deep understanding of object-oriented design and design patterns. Knowledge of designing APIs and microservices. Experience working on web technologies. Deep understanding of messaging systems. More ❯

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 distributed systems, 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 ❯

of 2 days a week on site. Role Overview: As an AI Engineer, you will be responsible for designing and developing intelligent agents capable of autonomous decision-making in distributed environments. You will leverage your expertise in Python and Spark to process large-scale data and use modelling techniques to enable complex agentic behaviours. Experience working with MCP servers … or similar distributed computing platforms is key. Key Responsibilities: Design and develop agentic AI systems that operate autonomously across diverse data sources and workflows. Implement scalable data processing pipelines using Apache Spark and Python. Build, train, and fine-tune advanced AI/ML models for agent reasoning, planning, and execution. Integrate solutions with MCP (Massively Concurrent Processing) servers … or equivalent architectures. Work closely with data engineers, researchers, and platform teams to ensure robust deployment. Continuously research and integrate emerging techniques in agent-based AI, multi-agent systems, and reinforcement learning. Required Skills & Experience: 4+ years of experience in AI/ML engineering or data-intensive systems. Strong proficiency in Python for AI, ML, and data engineering tasks. 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 distributed systems 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 ❯

Strong working knowledge of Sage Intacct data structures, APIs, chart of accounts, reporting hierarchies, and journal logic. • Experience performing data mapping and reconciliation between Intacct and Paxus other financial systems • Understanding of fund accounting concepts (capital calls, distributions, management fees, unrealized gains/losses, investor-level accounting). • Ability to extract and analyze Intacct reports, exports, or API-based … or BI tools for data analysis and validation preferred. • Hands-on experience with Azure OpenAI GPT-4/5, embedding models, and Azure cloud services • Strong background in Python, distributed systems, and enterprise architecture • Knowledge in Claude Code for agentic coding and AI-powered development. 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 ❯