​Senior Backend Engineer

Job description

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• Discover the Opportunity
• This team is building a large-scale AI platform that powers next-generation applications across multiple domains.
• The focus is on creating core infrastructure, tooling, and backend systems that enable AI-driven products to scale reliably.
• The platform is designed to support a wide range of use cases, embedding AI capabilities into systems, workflows, and decision-making processes.
• The environment is fast-paced, engineering-led, and focused on building production-grade systems from the ground up.
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• Discover the Role
• We are looking for a Senior Backend Engineer to take ownership of key parts of the backend platform.
• This is a backend-first, platform-focused role.
• The emphasis is on building the underlying systems that power AI applications rather than working directly on AI models.
• You will design, build, and operate scalable services, APIs, event-driven systems, and data infrastructure that support production environments.
• At this level, you are expected to go beyond execution — owning architecture end-to-end, driving technical decisions, and raising the engineering bar across the team.
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• Discover the Responsibilities
• Design and build backend services, APIs, and platform components that support scalable systems
• Define service boundaries, API contracts, and inter-service communication patterns
• Build and operate event-driven architecture (Kafka, Service Bus, or equivalent)
• Design reliable asynchronous systems with strong schema management and consumer design
• Own data infrastructure including ingestion, transformation, and storage
• Work with PostgreSQL at scale, caching, and distributed data systems
• Deploy and operate services using Kubernetes and containerisation
• Build and maintain CI/CD pipelines and infrastructure-as-code
• Implement strong observability practices (logging, tracing, metrics, SLOs)
• Lead reliability efforts including failure analysis, capacity planning, and system resilience
• Drive incident response and post-mortems with a focus on long-term improvements
• Build internal tooling and reusable platform components
• Contribute to engineering standards, security practices, and system design principles
• Mentor engineers and contribute to design and code reviews
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• Discover the Requirments
• 7+ years experience in backend or platform engineering
• Proven ownership of production-grade distributed systems
• Strong experience with event-driven systems and messaging infrastructure
• Proficiency in Java AND Python, or Go
• Strong understanding of cloud infrastructure (Azure, AWS, or GCP)
• Hands-on experience with Kubernetes and containerised environments
• Strong experience with PostgreSQL at scale
• Solid understanding of distributed systems concepts (consistency, retries, idempotency, etc.)
• Experience implementing observability and reliability best practices
• Strong communication and ability to drive technical decisions
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• Discovered the Desired
• Building internal platforms or developer tooling
• Experience with service mesh technologies (Istio, Linkerd)
• Familiarity with patterns like CQRS, event sourcing, sagas
• Experience with Redis, Elasticsearch, or similar systems
• Exposure to backend systems supporting AI workloads (e.g. data pipelines, retrieval systems)
• Experience in highly regulated or security-focused environments
• Knowledge of platform security (IAM, secrets management, zero-trust)
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• Discover the Skills
• Own systems end-to-end from design to production
• Build quickly while maintaining high standards for quality and reliability
• Make decisions based on real data and system behaviour
• Design systems with failure and recovery in mind
• Contribute to a strong engineering culture through mentoring and collaboration
• Communicate clearly and influence technical direction
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