Live opening · Posted 27 days ago
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About the role
Description supplied by the original job listing.
The candidate will have responsibilities across the following functions:
Architecture and System Design:
Take ownership of the end-to-end architecture for large-scale, distributed, event-driven systems.
Design systems using established patterns such as event sourcing, CQRS, domain-driven design (DDD), and hexagonal (ports and adapters) architecture.
Make key architectural decisions around scalability, consistency, observability, resiliency, and fault tolerance.
Lead design reviews and establish clear architectural guidelines across teams.
Complex Domain Modelling:
Work closely with business domains such as underwriting, risk, payments orchestration, lending lifecycle, or claims processing, and translate them into well-defined bounded contexts.
Ensure systems are designed for auditability, traceability, versioning, and regulatory compliance.
Build flexible domain models that can evolve without breaking downstream systems.
AI and Agentic Systems Integration:
Design and build systems that integrate AI into operational workflows.
Develop agent-based AI systems that interact with enterprise platforms, execute actions through controlled workflows, and operate within compliance and governance boundaries.
Integrate LLM-driven components into event-driven architectures while ensuring deterministic and reliable behaviour.
Hands-on Engineering:
Actively contribute to critical parts of the codebase.
Define and enforce engineering standards for code quality, testing (unit, integration, and contract), CI/CD pipelines, and infrastructure as code.
Prototype new architectural approaches and evaluate trade-offs before broader adoption.
Cross-Domain and Customer Engagement:
Work across multiple industry domains and customer environments.
Engage directly with enterprise customers to understand business and regulatory constraints, translate requirements into technical solutions, and support both design and implementation.
Guide delivery teams through complex project execution.
Technical Leadership and Project Management:
Lead large initiatives from concept through production.
Break down complex architectural challenges into clear, executable milestones.
Collaborate closely with product, engineering, and customer stakeholders.
Identify risks early and define mitigation strategies.
Requirements:
10+ years of software engineering experience.
Proven experience designing and operating complex distributed systems.
Strong hands-on expertise in event sourcing, CQRS, domain-driven design (DDD), and hexagonal architecture.
Experience building event-driven systems using platforms such as Apache Kafka or similar.
Solid understanding of data consistency models, concurrency control, and transactional boundaries.
Experience integrating AI/ML systems into enterprise software stacks.
Exposure to agent-based or autonomous workflow systems.
Hands-on experience with modern backend technologies such as Java or Kotlin.
Experience working in startup environments with high ownership and ambiguity.
Experience working with enterprise customers and multi-stakeholder environments.
Strong written and verbal communication skills.
Preferred Qualifications:
Experience building ledger-based or state-replayable systems.
Familiarity with workflow orchestration platforms such as Temporal.
Experience building rule engines or policy execution layers.
Exposure to cloud-native architectures on AWS, GCP, or Azure.
Experience designing multi-tenant SaaS systems.
Familiarity with zero-downtime deployments, data migrations, and schema evolution strategies.
Experience mentoring senior engineers and leading architecture review forums or councils.
Experience
10-14 yrs
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