- Develop, test, and improve software applications as part of an Agile scrum team
- Write clean, maintainable code; participate in code reviews; and create unit tests with guidance from experienced engineers
- Identify opportunities to apply new technologies, automation, and engineering practices to solve real business challenges
- Partner with Product Managers, Senior Engineers, Quality Engineers, Architects, and business partners to understand requirements, prioritize features, and deliver value
- Work across APIs, services, microservices, user interfaces, mobile experiences, cloud platforms, or data-driven solutions
- Explore responsible use of AI-powered developer tools, machine learning concepts, and intelligent automation
- Participate in graduate program learning, mentorship, networking, community, and career-development experiences
- Learn structured onboarding, code quality, testing, secure engineering practices, cross-functional collaboration, technical solution design, communication, mentorship, and leadership development
Requirements
- Must have earned a Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Software Engineering, or another technical field before the full-time start date
- Students must have a graduation date between December 2026 and June 2027
- Experience developing products or projects in an academic, personal, internship, research, open-source, hackathon, or professional setting
- Exposure to backend engineering, frontend engineering, cloud engineering, mobile engineering, AI / machine learning, data engineering, API development, or full-stack product development
- Familiarity with Java, JavaScript, React, TypeScript, Python, C#, Go, Kotlin, Node.js, REST APIs, SQL, Spring, or similar frameworks and tools
- Exposure to cloud-native development, microservices, containerization, CI/CD, DevOps, automated testing, accessibility, or secure software development concepts
- Interest in AI-powered development tools, generative AI, intelligent automation, responsible AI, or machine learning fundamentals
Core Competencies
Demonstrates strong capabilities in software development, including proficiency in Java, JavaScript, and Python, while applying Agile methodologies and cloud-native practices. Engages in cross-functional collaboration and mentorship to deliver high-quality, maintainable code and innovative solutions.
Highest-signal resume keywords
- Bachelor’s Degree In Computer Science
- Proficiency In Java, JavaScript, React, TypeScript
- Experience In API Development
- Familiarity With Cloud Engineering
- Exposure To Machine Learning Concepts
Hard Skills
- Java
- JavaScript
- React
- TypeScript
- Python
- C#
- Go
- Node.js
- REST APIs
- SQL
Soft Skills
- Collaboration
- Mentorship
- Communication
- Leadership
Industry Keywords
- Cloud-Native Development
- Containerization
- Secure Software Development
- Intelligent Automation
- Generative AI
Tools & Technologies
- Agile Methodologies
- Microservices
- CI/CD
- DevOps
- Automated Testing
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Software Engineer in Burgess Hill employer: Jobtailor
As a Client Services Coordinator at our dynamic company, you will thrive in a supportive work culture that prioritises employee growth and development. We offer comprehensive training, opportunities for advancement, and a collaborative environment where your contributions are valued. Located in a vibrant area, our team enjoys a healthy work-life balance and the chance to engage with diverse clients, making every day rewarding and meaningful.
