on-site, 4 days remote) About the Role We're looking for a talented Software Engineer who thrives in a collaborative, quality-focused environment. You'll work on delivering cloud-native solutions that solve real business problems, using modern technologies and engineering practices. This role is perfect for someone who values clean code, continuous improvement, and knowledge sharing … software solutions Write clean, maintainable code supported by comprehensive unit and acceptance testing Practice test-driven development (TDD) and merciless refactoring Refactor, troubleshoot, and upgrade existing software systems Deliver cloud-native solutions leveraging AWS services Collaboration & Communication Understand and question underlying business goals and requirements to deliver the right solution Collaborate through whiteboarding and pair programming sessions Communicate … and team effectiveness (KAIZEN) Mentor and help others grow their skills Contribute to a culture of learning and excellence Essential Requirements Technical Skills: Proven experience delivering scalable, fully tested cloud-native solutions Strong expertise with AWS services including API Gateway, Lambda, DynamoDB, and SQS/SNS Proficiency in functional programming with Java, JavaScript, or TypeScript (ideally Node.js) Experience More ❯
We are seeking a Senior Detection Engineer to advance our detection engineering strategy within the Enterprise Security team. This role is essential to safeguarding EA’s cloud and production environments and will directly impact our ability to detect, respond to, and prevent cyber threats at scale. As a senior individual contributor reporting to the Director of Threat Intelligence and … of the Detection Engineering team. You’ll mentor junior engineers, help define engineering direction, and lead the development of scalable, innovative threat detection solutions—including those leveraging AI and cloud-native technologies. This is a hybrid role and you must live within commutable distance to our Guildford office where you will need to work in the office … days per week. Key Responsibilities Design, develop, and operationalize advanced detections across cloud, container, and on-prem environments. Build integrations for diverse data sources (e.g., Wiz, host telemetry, network sensors) into EA’s detection infrastructure. Define and implement detection lifecycle processes to ensure maturity, governance, and performance metrics. Lead development of AI-driven detection proof-of-concepts Guide peers More ❯
Guildford, Surrey, United Kingdom Hybrid / WFH Options
Unily
to a platform where AI is deeply integrated into the user experience and engineering workflows. This role offers the opportunity to deepen your technical skills, expand your experience with cloud-native and AI-integrated systems, and collaborate closely with experienced engineers, designers, and product managers. You'll take ownership of meaningful components, help shape development standards, and support … with cutting-edge tools and development practices. Strong proficiency in modern full stack development, particularly with React, TypeScript, Node.js, Next.js, and database technologies such as PostgreSQL. Experience working with cloud infrastructure, preferably with Azure or Vercel. Solid understanding of software engineering principles, web architecture, and performance optimisation. Familiarity with integrating and consuming AI models via APIs. Experience building and More ❯
and AI teams to deliver a cohesive technology roadmap with regular release cycles Oversee the full software development lifecycle, ensuring performance, quality, and security standards are met Implement modern cloud-native architectures and DevOps best practices to enhance scalability and efficiency Establish and monitor KPIs for engineering performance and delivery effectiveness Collaborate with senior stakeholders to align technology … experience in a SaaS or digital product environment , ideally scaling from start-up to high-growth Deep technical expertise in C#, .NET Core, Angular, SQL, and Azure (or equivalent cloud platforms) Strong understanding of AI/ML integration and how it can enhance both products and engineering delivery Background in modernising engineering practices and introducing automation, CI/CD … offer: Competitive compensation package Opportunity to shape and execute the technology vision of a high-growth SaaS company The chance to lead transformative engineering initiatives using AI and modern cloud technologies Collaborative, forward-thinking culture that values innovation and technical excellence If you’re a senior technologist passionate about building cutting-edge SaaS products and driving AI-led transformation More ❯
Guildford, Surrey, United Kingdom Hybrid / WFH Options
IO Associates
using Microsoft Azure technologies. This role focuses on developing and maintaining integration services using Azure Data Factory (ADF) and SSIS , contributing to a broader shift from on-premise to cloud-native solutions. You'll be working in a collaborative, Agile environment alongside project managers, solution architects, and business stakeholders. Key Responsibilities Design and deliver Azure Data Factory solutions More ❯
guildford, south east england, united kingdom Hybrid / WFH Options
esure Group
platforms and modern data products that enable self-service analytics, advanced modelling, and AI-driven decision-making across our insurance business. What you’ll do: Design and manage scalable cloud data platforms (Databricks on AWS) across development, staging, and production environments, ensuring reliable performance and cost efficiency. Integrate and model data from diverse sources – including warehouses, APIs, marketing platforms … implementation using DBT, SQL, and Delta Live Tables Strong background in building high-performance, scalable data models that support self-service BI and regulatory reporting requirements Direct exposure to cloud-native data infrastructures (Databricks, Snowflake) especially in AWS environments is a plus Experience in building and maintaining batch and streaming data pipelines using Kafka, Airflow, or Spark Familiarity More ❯