Senior Java Developer ( AWS)

Ocho
Belfast
3 months ago
Applications closed

Related Jobs

View all jobs

Senior API Developer (Python & AWS)

Lead Software Developer (Polygot - ASP.Net, C#, Java, Spring)

Senior Machine Learning Engineer

BackEnd Developer - Abu Dhabi - 12 months - Relocation package

Senior Java Backend Engineer

Senior Applied Scientist, Amazon Audiences - ADSP

Senior Java AWS Serverless Developer required- very stable and well established client . Salary up to £66371+ 10% bonus + highly attractive benefits package and flexible work arrangements . Straight forward interview process that can be done in a week . Our client is revolutionizing the shopping experience by connecting brands and retailers with consumers through user-generated content on a global scale. They provide brands with real-time insights and tools to boost customer engagement and drive sales. Theyre looking for a Staff Backend Engineer to shape the future of their data infrastructure. In this role, you'll design scalable systems, power client-facing dashboards, and optimize performance through your expertise in data pipelines, APIs, and cloud technologies. What You'll Do: Design and maintain high-performance data pipelines in Java Build and optimize web applications with modern Java frameworks Manage workflows with Apache Airflow and leverage AWS for scalable cloud solutions Enhance data workflows for efficiency and reliability, ensuring data quality Troubleshoot complex issues in data pipelines and web apps Contribute to data and web infrastructure design Mentor junior developers and promote best practices Ideal candidate. Bachelors degree in Computer Science, Engineering, or related field Proficient in Java (Java 8+), web technologies (Spring Boot, JavaServer Faces), and SQL Experience with data pipelines, ETL processes, and data storage (relational and NoSQL) Skilled in AWS (EC2, S3, RDS, Lambda, CloudFormation) and Apache Airflow Familiar with distributed computing (Apache Spark, Hadoop) and stream processing (Kafka, Flink) Strong problem-solving, analytical, and team collaboration skills Benefits Salary up to £66371k base + 10% bonus+ other fantastic healthcare and pension benefits. If you believe you are well-suited for this role please apply via this link or contactPhil Gambledirectly for an informal discussion via LinkedIn or WhatsApp. Phil boasts over 19 years of experience in the Tech recruitment industry, successfully delivering challenging IT recruitment campaigns for global IT software companies in the US, UK, and Ireland. Reach out for a conversation on how we can support your career or hiring needs. Skills: Java serverless aws Benefits: pension bonus

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

UK Visa & Work Permits Explained: Your Essential Guide for International Machine Learning Professionals

Machine learning continues to redefine the global tech landscape, enabling transformative breakthroughs in sectors as diverse as healthcare, finance, retail, gaming, and autonomous vehicles. The United Kingdom has emerged as a hotbed for machine learning (ML) research and development, thanks to its world-class universities, well-funded start-up scene, and a broad base of established corporations adopting AI-driven solutions. For international professionals specialising in ML, the UK’s growing demand and favourable ecosystem offer exciting opportunities to innovate and advance your career. Yet, before you can join this dynamic environment, you’ll need to secure the correct work visa or permit. This article offers a comprehensive breakdown of the UK visa routes most relevant to machine learning specialists, including eligibility criteria, application processes, and practical tips for a successful transition. Whether you’re an ML researcher, data scientist, AI engineer, or deep learning specialist, understanding the UK immigration framework is the first step to pursuing your career goals in Britain’s vibrant tech sector.

Leading UK Machine Learning Labs and Institutes: Pioneering the Future of AI

Over the past decade, machine learning (ML) has transformed from an academic field into a linchpin of commercial innovation. From personalised product recommendations to healthcare diagnostics, it fuels the algorithms behind every major breakthrough in the digital world. For data-driven enterprises and researchers, the United Kingdom offers a vibrant landscape of top-tier ML labs, academic institutes, and forward-looking industries. If you’re aiming to forge a career in this exciting domain—be it in cutting-edge research, industry applications, or policy-making—this comprehensive guide, written for MachineLearningJobs.co.uk, will walk you through the leading UK machine learning hubs. We’ll delve into the opportunities they present, the latest research challenges they tackle, and the career paths that await those ready to shape the future of AI.

Shadowing and Mentorship in Machine Learning: Gaining Experience Before Your First Full-Time Role

How to Find Mentors, Build Industry Connections, and Hone Your Technical & Soft Skills for a Thriving ML Career Machine learning (ML) is transforming industries at a rapid pace, fuelling breakthroughs in healthcare, finance, e-commerce, manufacturing, cybersecurity, and beyond. As the demand for ML expertise skyrockets, the competition for early-career opportunities has intensified. It’s not enough to complete an online course or a university degree; employers are looking for proven, hands-on experience. So, how do you stand out from the crowd? Two powerful strategies—shadowing and mentorship—can help you bridge the gap between academic theory and industry practice. By learning directly from experienced professionals, you gain practical insights and build the confidence needed to excel in real-world ML roles. In this in-depth guide, we’ll explore why mentorship is crucial, how to find the right mentors (both formally and informally), how to demonstrate your value as a mentee, and the best ways to shadow machine learning practitioners. By the end, you’ll be equipped with the knowledge and tactics to jump-start your career and secure your first full-time ML role.