Engineering Manager

We are looking for a seasoned Engineering Manager with 10+ years of experience designing and building complex, mission-critical systems in regulated domains such as insurance, banking, payments, or lending. This role requires deep architectural expertise, strong systems thinking, hands-on engineering capability, and the ability to work across multiple domains and customer contexts. The ideal candidate has solved hard distributed systems problems, worked in high-growth startup environments, and is comfortable integrating modern AI and agentic AI capabilities into production-grade platforms.
The candidate will have responsibilities across the following functions:
Architecture and System Design:
Own end-to-end system architecture for large-scale, distributed, event-driven systems.
Drive architectural decisions around consistency models, scalability, observability, resiliency, and fault tolerance.
Lead design reviews and establish architectural guardrails across teams.
Design systems using patterns such as: Event Sourcing, CQRS, Domain-Driven Design (DDD), Hexagonal / Ports & Adapters architecture.
Complex Domain Modelling:
Translate complex business domains (e. g., underwriting, risk, payments orchestration, lending lifecycle, claims processing) into clean, bounded contexts.
Translate complex business domains (e. g., underwriting, risk, payments orchestration, lending lifecycle, claims processing) into clean, bounded contexts.
Design for auditability, traceability, versioning, and regulatory compliance.
Build extensible domain models that can evolve without breaking downstream systems.
AI and Agentic Systems Integration:
Architect and build systems that integrate AI components into operational workflows.
Design agentic AI systems that:
Interact with structured enterprise systems.
Execute actions via controlled workflows.
Operate within compliance and governance boundaries.
Integrate LLM-driven components into event-driven backends with deterministic safeguards.
Hands-on Engineering:
Contribute meaningfully to code in critical components.
Establish engineering standards for: Code quality, Testing strategy (unit, integration, contract), CI/CD pipelines, and Infrastructure as Code
Prototype new architectural approaches and validate trade-offs.
Cross-Domain and Customer Engagement:
Work across multiple industry domains and customer contexts.
Guide implementation teams during complex delivery programs.
Engage directly with enterprise customers to:
Understand business and regulatory constraints.
Translate requirements into technical blueprints.
Support solution design and implementation.
Technical Leadership and Project Management:
Lead large initiatives from concept to production.
Break down complex architectural work into executable milestones.
Coordinate across product, engineering, and customer stakeholders.
Identify risks early and define mitigation strategies.
Requirements:
10+ years of software engineering experience.
Significant experience building systems in at least one of: Insurance, Banking, Payments, Lending.
Demonstrated experience designing and operating complex distributed systems.
Deep practical expertise in: Event Sourcing, CQRS, DDD, and similar Hexagonal architecture.
Experience designing event-driven systems using platforms such as Apache Kafka.
Strong understanding of data consistency models, concurrency control, and transactional boundaries.
Experience integrating AI/ML systems into enterprise software stacks.
Prior exposure to agent-based or autonomous workflow systems.
Hands-on coding experience in one or more modern backend ecosystems (e. g., Java/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.
Experience with workflow orchestration platforms such as Temporal.
Experience building rule engines or policy execution layers.
Exposure to cloud-native architecture on AWS / GCP / Azure.
Experience designing multi-tenant SaaS systems.
Familiarity with zero-downtime migrations and schema evolution strategies.
Experience mentoring senior engineers and leading architecture councils.
Good to Have:
Systems thinking over feature thinking.
Bias for clarity in modelling complex domains.
Strong opinions, loosely held, grounded in trade-off analysis.
Ability to operate at both whiteboard and production-debug levels.
Comfort working on deep, non-trivial problems that require iteration and rigour.

Experience
9-13 yrs