Descrizione dell'offerta
Join a fast-growing engineering team building the backend systems behind a leading Customer Experience Intelligence platform used by global brands. In this role, you will design and scale distributed backend services and APIs that power high-impact analytics products. You will work at the intersection of backend engineering and applied AI, integrating LLMs and intelligent frameworks into production systems. The environment is highly collaborative, product-driven, and focused on solving complex data and infrastructure challenges at scale. You will take ownership of end-to-end delivery, from architecture to production operations, in a high‑availability, cloud‑native environment. This is a unique opportunity to shape core platform capabilities while working closely with product and engineering leaders in a fast‑evolving AI space.
Accountabilities
- Design, build, and maintain scalable backend services and APIs that support a high‑throughput analytics platform.
- Architect and evolve distributed systems with a strong focus on reliability, maintainability, and performance at scale.
- Own full lifecycle delivery of backend initiatives, including technical design, implementation, testing, observability, and production support.
- Integrate AI capabilities such as LLMs, agentic frameworks, and related pipelines into core backend services and product features.
- Improve system reliability through robust observability practices, including logging, tracing, monitoring, and incident response.
- Collaborate closely with Product and Engineering stakeholders to define requirements, shape architecture, and deliver technical solutions.
- Contribute to engineering excellence through code reviews, design discussions, and continuous improvement of backend standards and practices.
- Work with cloud infrastructure environments such as GCP or AWS to support scalable, production‑grade systems.
Requirements
- Strong experience as a Senior Backend Engineer in high‑ownership, product‑driven engineering teams.
- Proficiency in at least one modern backend language such as Python, Go, or Ruby, with strong architectural and system design skills.
- Solid understanding of distributed systems, RESTful APIs, event‑driven architectures, and scalable backend design principles.
- Experience optimizing database performance at scale, including indexing, query tuning, and working with large production datasets.
- Hands‑on experience with cloud platforms such as GCP (preferred) or AWS.
- Strong knowledge of observability practices, including monitoring, logging, tracing, and incident management in production systems.
- Proven ability to independently deliver complex backend features in fast‐paced engineering environments.
- Bonus: experience with LLMs, prompt engineering, or agentic AI frameworks (e.g., OpenAI, Anthropic, MCP).
- Bonus: familiarity with analytical databases (e.g., BigQuery, ClickHouse), search systems (e.g., Elasticsearch), or event‑driven tooling (e.g., Kafka, Pub/Sub).
- Bonus: experience with AI‑assisted development tools and workflows such as Cursor, Copilot, or Claude Code.
- Bonus: exposure to NLP, customer feedback analytics, or open‑source contributions/public speaking.
Benefits
- Flexible, choice‑driven remote working environment.
- Work‑from‑home allowance to support your ideal setup.
- 25 days of annual leave plus local bank holidays.
- Additional day off on your birthday.
- Annual learning and development budget to support continuous growth.
- Equity options to share in company success.
- Monthly health and wellbeing budget, increasing with tenure.
- Optional private healthcare plan.
- Life assurance and income protection (depending on location).
- Enhanced family leave and additional support benefits (where applicable).
- Inclusive, collaborative engineering culture focused on learning, trust, and ownership.