8 of 8 Permanent Distributed Systems Jobs in Bristol

have the opportunity to: Lead architecture across large-scale, high-impact data programmes Define data strategies covering migration, integration, and modelling Shape distributed data solutions across cloud and hybrid environments Influence architectural standards and engineering best practice Work across both public sector and enterprise clients Mentor engineers and contribute … growing technical capability Your Responsibilities Define architecture across complex, data-driven programmes Establish data strategy, integration, and migration approaches Analyse existing systems and map target-state architecture Define and maintain architecture principles, standards, and governance Design scalable solutions for distributed and large-scale data systems Develop enterprise ...

Requirements: Up-to 2 days a week. Mandatory: SC Clearance eligibility. The Mission: Lead the architectural evolution of a complex domain cluster by mapping distributed systems, establishing data governance, and closing reliability gaps. Core Responsibilities: Document as-is topologies and service catalogues. Manage data ownership registers and ADRs. … Conduct efficacy scoring (RAG) and SLO gap analysis for target designs. Key Requirements: * Experience: Distributed Systems/Microservices and Cloud-Native design. Expertise: DDD (Bounded Contexts), Resilience Patterns, and Observability. Reliability: Strong grasp of SLO/SLI concepts and availability modeling. Preferred: Energy sector experience (Balancing/Trading ...

/ML Infrastructure Engineer (MLOps) – Robotics - Hybrid in Bristol We’re working with a cutting-edge robotics company building intelligent systems capable of learning real-world physical tasks. They’re now hiring an AI/ML Infrastructure Engineer to own the end-to-end infrastructure that powers model training … data pipelines, and deployment into real-world robotic systems. This is a highly technical role sitting at the intersection of machine learning, distributed systems, and robotics - not a generic MLOps position. Key Responsibilities: Build and scale GPU-based training infrastructure for large ML workloads Develop robust data pipelines ...

growth. Working closely with engineering leadership and cross-functional teams, you will: Lead design and architectural decisions across key product areas Build and scale distributed systems handling high-volume data workloads Support the evolution of a SaaS platform serving global enterprise customers Influence engineering standards, tooling, and best … with deep technical expertise and a track record of operating at scale: Strong background in software engineering and system design Experience building and scaling distributed, data-intensive platforms Proven ability to design robust, scalable SaaS architectures Deep understanding of modern engineering principles and best practices Experience working in cloud ...

experience as a Solution Architect or Senior Technical Architect Strong background in cloud platforms (AWS, Azure or GCP) Experience across enterprise architecture, microservices, or distributed systems Ability to work across the full delivery lifecycle in Agile environments Strong stakeholder management and communication skills Exposure to architecture frameworks (TOGAF ...

Kubernetes) in a Linux-based environment. • Solid understanding of RESTful API design, microservices architectures, and asynchronous workflows. • Familiarity with ETL processes, data warehousing and distributed systems. • Ability to obtain UK Security Clearance (SC). We'd love it if you also have: • Experience with data visualisation tools such … D3.js, Chart.js or Plotly for building interactive dashboards. • Exposure to DevOps practices including TDD, CI/CD and infrastructure as code. • Experience of optimising systems for performance and scalability and reliability. • Understanding of machine learning workflows or MLOps for deploying and monitoring models in production. • Experience with cloud platforms ...

ratings and contribute to SLO gap analysis. Record design rationale through Architecture Decision Records (ADRs). Key Requirements: Technical Foundation: Solid experience with Microservices, Distributed Systems, and Cloud-native design. Architecture Principles: Understanding of DDD, resilience patterns, and observability (logging/tracing). Reliability: Familiarity with SLO/ ...

engineers to integrate ML models, ETL pipelines, and cloud-based data storage solutions. • Optimise system performance and reliability for high-volume data operations across distributed environments. • Implement secure, compliant and scalable data access layers, ensuring compliance with data privacy standards. • Contribute to system architecture, technical decisions, documentation and code … Kubernetes) in a Linux-based environment. • Solid understanding of RESTful API design, microservices architectures, and asynchronous workflows. • Familiarity with ETL processes, data warehousing and distributed systems. • Ability to obtain UK Security Clearance (SC). We’d love it if you also have: • Experience with data visualisation tools such ...