13 of 13 Distributed Systems Jobs in Tyne and Wear

building robust, scalable data pipelines that underpin analytics and AI solutions. This role is ideal for someone who enjoys working with real-time data, distributed systems, and modern cloud architectures . What youll be doing Design and build scalable data pipelines (batch & streaming) Work with technologies like Kafka … datasets What were looking for Strong programming skills in Java (preferred) or Python Experience with streaming technologies (Kafka/Flink/Spark) Knowledge of distributed systems and large-scale data processing Experience with cloud platforms (AWS preferred) Familiarity with DevOps tools and containerisation (Docker/Kubernetes) The offer ...

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 ...

focused on building modern, scalable data platforms that power analytics, AI, and operational decision making. You will be working on real world, production grade systems rather than proof of concepts, with clear ownership and visibility across the full data lifecycle. What You’ll Be Doing You will be hands … Python where needed Develop real-time streaming solutions using technologies such as Kafka and Flink Integrate data from multiple sources including APIs, batch systems, and streaming platforms using AWS services like Kinesis, MSK, Lambda, and Glue Contribute to modern data architecture patterns including medallion architecture and event-driven design ...

delivering cutting-edge data solutions across complex environments. You’ll be part of an advanced engineering function focused on building scalable, cloud-native data systems that power analytics, AI, and business-critical decision-making. What You’ll Be Doing Data Engineering & Pipeline Development Design, build, and optimise scalable data … engineering best practices Support and mentor junior team members where appropriate Requirements 3+ years’ commercial experience in Data Engineering or large-scale data systems Strong programming skills in Java (preferred) or Python Hands-on experience with Kafka, Flink, or Spark (streaming focus is a strong advantage) Solid understanding ...

Data Engineering (Azure Data Factory, AWS Glue, GCP Dataflow etc) Other Requirements At least 3 years experience with large-scale data challenges (big data, distributed systems) Hands-on with Infrastructure-as-Code (Terraform, Ansible) Agile and Waterfall project experience Strong stakeholder management and communication skills Security and compliance ...

chance to join one of the world's leading crypto trading platforms and a team known for its cutting-edge low-latency systems and lightning-fast execution speeds. They're looking for engineers who thrive in high-performance, high-ownership environments. You'll work alongside some of the brightest … minds in trading tech, designing and building distributed C++ systems that handle massive throughput with ultra-low latency. If you've honed your craft in a fast-paced, high-frequency environment, this could be your next big move. What they're looking for: Expert-level C++ experience (ideally ...

large-scale data platforms (3+ years) Proficiency in Java or Python Hands-on experience with streaming technologies (Kafka/Flink preferred) Good understanding of distributed systems and cloud platforms (AWS ideally) Experience with CI/CD, Docker, Kubernetes, and modern DevOps practices Why consider this role? Work ...

software engineering best practices: testing, design patterns, CI/CD, Git. Experience building ETL/ELT or streaming data pipelines. Exposure to microservices and distributed system concepts. Experience working with cloud platforms, ideally AWS, but Azure/GCP also acceptable. Understanding of distributed compute, large-scale data systems ...

next-generation intelligent healthcare solutions. They are now looking for an number of AI Agentic Engineer to help design, build, and deploy autonomous AI systems that will directly support clinical and operational decision-making. This is a highly impactful role where youll be working at the intersection … software engineering, and healthcare innovation - developing agent-based systems that can reason, plan, and act within real-world medical workflows. Youll be joining a forward-thinking engineering team that is scaling rapidly, with a strong focus on responsible AI, performance, and real-world application. What youll be doing Youll ...

single specialization (T-shaped skillset) — preferred but not strictly mandatory. - Experience integrating front-end applications with APIs and backend services. - Solid understanding of distributed systems and cloud environments (AWS preferred). - Familiarity with CI/CD pipelines, automated testing, and modern delivery practices. - Experience with performance optimisation, debugging … observability tools. - Exposure to legacy systems and modernisation projects is advantageous. - Knowledge of secure coding practices and common security standards. - Experience mentoring engineers or influencing technical decisions is beneficial but not mandatory. ...

enabling teams to deliver robust, scalable, and secure services. With a strong foundation in backend technologies, including Java and Spring Boot, and event-driven systems such as Kafka, you’ll influence systems well beyond your own code, ensuring architectural integrity and high engineering standards across multiple teams. … stakeholders (e.g legal, product owner, designer) Leads projects and features to good outcomes, ensuring appropriate engineering decisions are made to factor in technical debt, systems design, stability/reliability, monitoring/observability and business need. Hands-On Guidance Contribute to key backend systems when your expertise is needed. ...

Familiarity with CI/CD pipelines and version control (Git). Experience building scalable, production-ready applications. Experience with parallel processing, mapping tools, or distributed systems would be beneficial but not essential. This is a fantastic opportunity to join a tech-for-good organisation where your work will ...

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/ ...