604 jobs for “Engineer - Software Engineering”
Nebius Amsterdam, Netherlands; Berlin, Germany; United Kingdom
Builds the Capacity and Quota Management control plane that decides who gets compute, when, and how much. Work spans a GPU reservation engine with rebalancing and auto-reclamation logic plus a quotas control plane handling customer requests and resource distribution algorithms, all exposed via APIs. High-ownership role defining how the system matures.
Nebius Amsterdam, Netherlands; Berlin, Germany; United Kingdom
Designs and builds distributed backend services for a cloud monetization platform, handling billing, payments, reservations and metering across 25+ microservices. Works with Python, gRPC, Temporal, YDB and Kafka-like messaging, focusing on distributed transactions, consistency and reliable asynchronous workflows.
CrowdStrike Romania
Builds and operates large-scale data processing pipelines, storage systems and presentation layers for the Intelligence team, owning systems from design and prototyping through production deployment and long-term maintenance. Works fully remotely across time zones, gathering requirements from analysts and choosing the technology stack, with existing Go and Python codebases to maintain and improve.
Spectrum IT Recruitment London £90,000 – £100,000 pa
Builds automation frameworks, internal tooling and Infrastructure as Code for secure enterprise platforms on a high-profile government programme. Works with Python, Terraform, Jinja2, PowerShell, Puppet and AWS, with a strong software engineering focus rather than pure ops. Hybrid role, two days onsite in London or Southampton.
eFinancialCareers Chester
Build and enhance an enterprise data platform ingesting and assuring large-scale communications, collaboration and transactional data for a regulated financial institution. Own the full data lifecycle, from streaming ingestion with Kafka and NiFi to transformation in Spark/PySpark and Hadoop/Hive, plus compliance control logic, reconciliation and observability. Work spans software and data engineering with Python, SQL, CI/CD and Azure tooling.
Carrington Recruitment Solutions London £95,000 – £105,000 pa
Hands-on role designing, building, deploying and supporting practical AI solutions across a professional services firm, turning proof-of-concepts into production. Combines AI platform expertise (Co-Pilot Studio, Azure AI Foundry, agentic AI, LLMs, NLP) with strong software engineering in C#/.NET, Python and JavaScript, working directly with senior business stakeholders in a heavily regulated environment.
Harnham - Data and Analytics Recruitment London £80,000 – £90,000 pa
Join an early-stage connected hardware and software company as one of its first engineering hires, owning cloud backend services and infrastructure while building and enhancing mobile applications. Work across mobile, cloud and connected-device environments, including Bluetooth/BLE communications, and help bring development fully in-house alongside founders, product and design.
Cathcart Technology Manchester £70,000 – £85,000 pa
Hands-on technical leadership role that is roughly 80% coding in Java and Spring Boot, with the rest spent mentoring engineers and shaping architecture and standards within an established Scrum team. The environment spans AWS serverless, microservices, Docker, Kubernetes and Terraform, with TDD, pair programming and continuous delivery central to how teams work.
Databricks London
Embed with strategic enterprise customers to design, build and productionise custom fullstack data and AI applications on the Databricks Data Intelligence Platform. You own architecture and end-to-end delivery across data engineering, ML/AI integration and user-facing interfaces, partnering with Sales, Product and Field Engineering. Expect up to 50% travel to client sites.
Databricks London
Customer-facing engineering role owning architecture and design decisions while building production-grade data, AI and application systems on the Databricks platform. You embed with client teams, from technical ICs to executives, delivering end-to-end pipelines, ML/AI model integration and reference architectures, with roughly 20% travel to customer sites.
Microlise Langley Mill £45,000 pa
Improves delivery, reliability and operational maturity of software products and platforms, building and enhancing CI/CD pipelines, automating infrastructure and deployment, and strengthening observability. Works with engineering, test and infrastructure teams on release governance, IaC, containerisation and incident root-cause fixes. A 12-month fixed-term contract focused on business-critical projects.
Catalyst Newcastle upon Tyne £60,000 – £100,000 pa
Design and build scalable data pipelines and platforms that support analytics and AI-driven products, integrating data from diverse sources. Develop production-grade applications and APIs while ensuring data reliability and quality. Work with cloud infrastructure and modern DevOps practices to deliver robust, automated data solutions.
Harnham - Data and Analytics Recruitment Abingdon US$200,000 – US$220,000 pa
Owns machine learning solutions end to end, from model design and training through deployment, MLOps and production monitoring. Works on cloud infrastructure and scalability for a personalised health insights platform, collaborating with engineering, product and domain experts in a small technical team. Engineering-focused rather than pure research.
Rise Technical Recruitment Abingdon US$90,000 – US$120,000 pa
Customer-facing engineering role owning pilots and implementations from requirements through to production. You'll write and debug TypeScript, build API integrations, and support cloud and on-premises deployments including configuration, access and networking, while running demos and workshops and feeding customer insight back to engineering and product. Based in Manhattan with at least four days a week in office.
Reperio Human Capital Dublin, Ireland £86,324 – £103,589 pa
Manage Kubernetes clusters for automated deployment and scale AWS cloud infrastructure using Terraform. Optimise platform performance, analyse potential disruptions, and build APIs for smooth integration. Works on cutting-edge AI technologies with a flexible culture requiring just one office day weekly.
