Senior Backend Engineer

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.

• 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.

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