Enterprise Architect

The core requirements for the job include the following:

Education and experience:

• 15+ years of overall software engineering experience, with 4+ years at the principal architect, senior architect, or enterprise architect level.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven track record of designing and governing large-scale distributed systems in production.
• Demonstrated experience operating in product-based or SaaS organisations delivering at enterprise scale.
• Experience working in global, distributed engineering environments across multiple time zones.

Architectural Leadership and Governance:

• Demonstrated experience setting enterprise-wide architectural standards, principles, and reference architectures.
• Experience leading architecture review forums, design councils, or governance bodies across multiple product lines or business units.
• Track record of mentoring principal/senior architects and elevating architectural maturity across organisations.
• Familiarity with enterprise architecture frameworks and structured decision-making methods.
• Experience driving technology rationalisation (tool/platform consolidation) and vendor evaluations (build-vs-buy decisions).

Core Technical Stack:

• Deep expertise in Java and the Spring / Spring Boot ecosystem as a primary foundation.
• Strong architectural capability across modern backend ecosystems: Python (FastAPI/Django), Node.js, microservices,
• RESTful APIs, event-driven systems (Kafka, JMS), and integration frameworks.
• Architectural awareness of frontend ecosystems, React and Angular, is sufficient to make full-stack decisions.
• Hands-on capability to dive into code, lead code/design reviews, and prototype when architectural decisions require it.

Cloud, Infrastructure and Engineering Practices:

• Strong experience architecting on AWS (preferred); working knowledge of Azure or GCP.
• Deep understanding of cloud-native patterns: serverless, containers (Docker), Kubernetes, and service mesh.
• Experience setting standards for CI/CD, infrastructure as code, DevOps maturity, and observability across engineering teams.
• Strong grasp of non-functional requirements at enterprise scale: scalability, availability, performance, security, compliance, resilience, and cost efficiency.

Data Architecture:

• Proficiency with RDBMS (PostgreSQL, MySQL) and NoSQL systems (MongoDB, Cassandra, DynamoDB).
• Understanding of data architecture patterns at scale: data modelling, partitioning, replication, and event-sourced/streaming data systems.

AI-Assisted Engineering:

• Hands-on familiarity with AI-assisted development tools (code copilots, AI testing assistants, AI documentation tools) and demonstrated experience driving their adoption across teams.

Stakeholder and Business Skills:

• Experience partnering with senior business, product, and engineering leadership to align technology strategy with business goals.
• Strong communication and presentation skills with the ability to clearly articulate technical strategy and trade-offs to non-technical executives.

Good-to-Have:

• Strong architectural understanding of AI solution patterns: GenAI, LLM integration, embeddings, vector databases, RAG, and agentic workflows.
• Awareness of responsible AI principles, governance, security, data privacy, and ethical considerations in AI design.
• Hands-on experience building or integrating AI-powered SaaS platforms in production.
• Exposure to Databricks or similar modern data/AI platforms.
• Experience with domain-driven design (DDD) and event-storming techniques for complex domains.
• Exposure to platform engineering initiatives (internal developer platforms, golden paths, paved roads).
• Experience with API management, service mesh (Istio, Linkerd), and modern API security patterns (OAuth 2.0 OIDC, and JWT).
• AWS Certified Solutions Architect (Associate or Professional) or equivalent senior cloud certifications.
• Experience contributing to technology investment decisions or representing engineering in board-level discussions.
• Public speaking, technical writing, or open-source contributions on architecture or AI topics.

Preferred Background:

• Experience at a B2B or B2C product / SaaS company delivering software at enterprise scale.
• Prior experience in enterprise SaaS, HCM, or talent acquisition is a plus.

Skills

AWS, Azure, Docker, GCP, Java, Kubernetes, Node.js, Python, Spring, Spring Boot, TOGAF, Zachman, enterprise architecture