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For Companies At a Glance
- Tasks: Design and document scalable software systems while integrating diverse data sources.
- Company: Join a forward-thinking IT services company focused on community knowledge and innovation.
- Benefits: Competitive contract pay, flexible work arrangements, and opportunities for professional growth.
- Why this job: Be at the forefront of AI and cloud technology, making a real impact in IT consulting.
- Qualifications: 8+ years in tech roles with strong skills in Python and cloud solutions.
- Other info: Dynamic team environment with a focus on cutting-edge technologies and career advancement.
The predicted salary is between 48000 - 72000 £ per year.
Overview
Experience: 8+ years of experience in a technical role such as Solution Architecture, Enterprise Architecture, or senior-level Software Engineering, with at least 3+ years in a client-facing capacity.
Architectural Expertise: Proven ability to design and document complex, distributed, and scalable software systems. Deep understanding of microservices, event-driven architecture, and MCP-first design principles.
AI/ML Acumen: Strong foundational knowledge of modern AI concepts, including Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and vector databases (e.g., Qdrant, Pinecone, Weaviate).
Data Integration: Hands-on experience designing data pipelines and integrating with diverse enterprise data sources (e.g., relational databases like PostgreSQL, unstructured document stores like SharePoint, APIs, and data warehouses).
Cloud Proficiency: Experience architecting solutions on a major cloud platform.
Technical Foundation: Proficiency in Python is strongly preferred. Familiarity with containerization (Docker) and orchestration (Kubernetes) is essential.
Communication: Exceptional verbal and written communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.
Preferred Qualifications (Nice to Have)
Direct, hands-on experience designing or building systems using agentic AI frameworks (e.g. LangGraph, CrewAI).
Knowledge of semantic web technologies, including ontologies (OWL/RDF) and familiarity with the concepts behind the Model Context Protocol (MCP) or similar advanced agentic architectures.
Experience with modern observability stacks, particularly OpenTelemetry.
Knowledge of enterprise security patterns and identity management systems.
Seniority level
- Mid-Senior level
Employment type
- Contract
Job function
- Information Technology
Industries
- IT Services and IT Consulting
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Application Support Analyst employer: Avensys Consulting UK
Contact Detail:
Avensys Consulting UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Application Support Analyst
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that Application Support Analyst role.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving microservices or AI/ML concepts. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex technical concepts in simple terms, as you'll need to impress both techies and non-techies alike during your interviews.
✨Tip Number 4
Don't forget to apply through our website! We have loads of opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates. Let's get you that dream job!
We think you need these skills to ace Application Support Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Application Support Analyst role. Highlight your experience in technical roles and client-facing capacities, especially focusing on your architectural expertise and any relevant projects you've worked on.
Showcase Your Skills: Don’t forget to showcase your skills in Python, cloud platforms, and containerization. We want to see how you’ve applied these in real-world scenarios, so include specific examples that demonstrate your proficiency.
Communicate Clearly: Since communication is key, ensure your written application is clear and concise. Use straightforward language to explain complex concepts, as if you were talking to someone who isn’t as tech-savvy. This will show us you can bridge the gap between technical and non-technical audiences.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Avensys Consulting UK
✨Know Your Tech Inside Out
Make sure you brush up on your technical skills, especially in Python, microservices, and cloud platforms. Be ready to discuss your experience with architectural design and data integration, as these are key areas for the Application Support Analyst role.
✨Showcase Your Client-Facing Experience
Since this role requires a client-facing capacity, prepare examples of how you've successfully communicated complex technical concepts to non-technical audiences. Highlight any situations where you resolved client issues or improved their experience.
✨Demonstrate AI/ML Knowledge
Familiarise yourself with modern AI concepts like LLMs and RAG. Be prepared to discuss how these technologies can be applied in real-world scenarios, especially in relation to the role's responsibilities.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about the company's tech stack, team dynamics, and future projects. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
