​Senior Backend Engineer

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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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