At a Glance
- Tasks: Support clients by building and maintaining innovative AI and ML solutions.
- Company: Join a forward-thinking tech company focused on AI and Machine Learning.
- Benefits: Flexible work hours, competitive salary, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on continuous learning and innovation.
- Why this job: Be part of a dynamic team shaping the future of technology.
- Qualifications: 1-3 years in software engineering with skills in JavaScript and Python.
The predicted salary is between 30000 - 40000 £ per year.
Our Solutions and AI Labs (SAIL) practice focuses on helping clients control their data, turn them into actionable insights, and better leverage them through the use of Machine Learning solutions directly embedded into business processes. We support clients across a number of industries and offer deep expertise in AI, ML, Cloud, and Managed Solutions.
What you will be doing:
- You will be using your experience to help build and maintain internal and client solutions.
- You would also be responsible for supporting the growth of our team, helping them to build the skills they need to solve our client’s challenges.
- The support team provides application coverage at weekends to monitor this ENA product, so applicants should have flexibility for, or be available to work one weekend day and four weekdays.
- Weekend shifts primarily involve monitoring, resolving issues, and invoking on-call support, with the majority of remaining time focused on coding, maintenance, or bug fixes.
Key Responsibilities:
- Triage and review support desk tickets, ensuring that first response and remediation SLAs are met, focusing on quality of first response and passion for going above and beyond to resolve our customers' issues.
- Learn and contribute automations and documentation to the support desk team.
- Proficient in utilising modern frameworks such as Next.js and libraries like React.
- End-to-end delivery of fully functional CRUD APIs, from local development through to cloud deployment and production readiness.
- Maintaining APIs and effectively resolving any arising issues.
- Execute schema and data/table migrations to support evolving application requirements.
- Manage the release and versioning of software and related packages across various environments, including production.
- Prepare detailed release notes and plans, covering regression testing and established backout procedures for risk mitigation.
Your skills and experience:
- 1-3 years of hands-on experience in software engineering, specifically focused on developing and delivering modern web applications, APIs, and scalable platforms.
- Proficient in either JavaScript and Python, with a proven track record of delivering high-quality, maintainable code and leveraging both languages to solve complex technical challenges.
- Excellent verbal and written communication skills, with the ability to clearly articulate technical issues and solutions to both technical and non-technical stakeholders.
- Exposure to modern software development practices including CI/CD pipelines, cloud platforms, and Infrastructure as Code.
- A collaborative mindset with the ability to work closely with consultants, data scientists, and business stakeholders to understand requirements and translate them into innovative, impactful solutions for our clients.
- A continuous learner who is always exploring the latest frameworks, tools, and methodologies in software engineering and AI, and keen to bring fresh ideas to the table.
- Ability to take on information and formulate clear documentation and run manuals based on common issues and provide detailed resolution for long-term solutions.
If you are excited by the opportunity to build meaningful AI and ML-driven platforms using the latest technologies, and thrive in a collaborative, people-first culture, we would love to hear from you!
L1 Support Engineer employer: 慨正橡扯
Join our innovative Solutions and AI Labs (SAIL) practice as an L1 Support Engineer, where you'll be part of a dynamic team dedicated to leveraging cutting-edge AI and Machine Learning technologies. We foster a collaborative, people-first culture that prioritises employee growth, offering opportunities for skill development and leadership roles while supporting a flexible work environment. With a focus on meaningful projects and a commitment to excellence, we ensure that our employees are empowered to make a real impact in the tech landscape.
StudySmarter Expert Advice🤫
We think this is how you could land L1 Support Engineer
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at 慨正橡扯 or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
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✨Tap into Online Developer Communities
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We think you need these skills to ace L1 Support Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at 慨正橡扯.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at 慨正橡扯 and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at 慨正橡扯
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If 慨正橡扯 uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
