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Senior Software Engineer - AI Focused (UK) -

Posted 9 days agoInactiveViewed

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💎 Seniority level: Senior, 5+ years

📍 Location: United Kingdom

🔍 Industry: Software Development

🏢 Company: Valsoft Corporation

🗣️ Languages: English

⏳ Experience: 5+ years

🪄 Skills: AWSBackend DevelopmentDockerNode.jsPostgreSQLSQLArtificial IntelligenceCloud ComputingFrontend DevelopmentFull Stack DevelopmentGCPJavaJavascriptKubernetesMachine LearningMicrosoft SQL ServerOracleReact.jsTypeScriptVue.JsAlgorithmsAzureData Structures.NETAngularCommunication SkillsAnalytical SkillsCI/CDProblem SolvingAgile methodologiesRESTful APIsDevOpsMicroservicesTeamworkSoftware Engineering

Requirements:
  • Demonstrable Experience in developing and delivery of software products, whether from an software engineering, financial and sales or business background. Ideally, you will have worked in a variety of capacities during your career.
  • Full-Stack Development: Proficient in at least one of the named technologies (.NET, JavaScript/TypeScript frameworks, or Java).
  • AI/ML Tools Familiarity: Demonstrable experience using AI-driven tools (e.g., code auto-generation, advanced testing frameworks) to expedite software development cycles.
  • Database Management: Skilled in designing schemas, writing complex queries, and tuning performance in at least one major relational database.
  • Cloud & DevOps Knowledge: Understanding of modern cloud platforms (AWS, Azure, GCP) and ability to manage CI/CD workflows, containerization (Docker, Kubernetes), and security best practices.
  • Customer-Facing Experience: Comfortable discussing technical and business requirements with non-technical stakeholders, gathering detailed specifications, and presenting solutions.
Responsibilities:
  • Engage with product managers, customers, and cross-functional teams to understand business needs.
  • Translate stakeholder requirements into actionable technical tasks and product milestones.
  • Use AI-based productivity tools (e.g., code generation, automated testing frameworks) to accelerate solution delivery.
  • Develop and maintain effective front-end interfaces and back-end services, ensuring responsiveness and scalability.
  • Optimize data storage and retrieval, ensuring performance, availability, and data integrity.
  • Implement DevOps best practices (CI/CD pipelines, IaC, monitoring) to streamline the path to production.
  • Deploy software in a cost-effective and secure manner, leveraging the most suitable Cloud services.
  • Serve as a subject matter expert on AI-driven development for internal teams and customers.
  • Contribute to a culture of innovation by researching emerging tools, tech, and practices to improve efficiency and product quality.
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