Architect

Responsibilities:

• Define and evolve long-term technical architecture across backend, platform, infrastructure, security, and data domains.
• Partner with Engineering Leads, Senior Engineers, and Product stakeholders to translate business goals into scalable and secure systems.
• Own architectural decisions for large-scale initiatives: infrastructure modernisation, platform evolution, system re-designs, org-wide migrations.
• Drive architectural standards, governance models, and reusable frameworks that improve developer velocity and system consistency.
• Evaluate trade-offs across performance, reliability, security, and cost; ensure tech choices are future-proof and org-aligned.
• Act as a thought leader and mentor, growing the next generation of senior engineers and architects.
• Collaborate cross-functionally with security, compliance, and data teams to uphold industry-grade robustness and regulatory readiness.
• Constantly scan and integrate emerging technologies where relevant AI/ML infra, serverless models, edge computing, etc.
• Act as a strong voice in build-vs-buy, re-architect-vs-refactor, and scale-vs-speed decisions at the org level.

Requirements:

• 10+ years of engineering experience with at least 2+ years in Staff, Principal Engineer, or Architect roles.
• Proven track record in scaling distributed systems, backend architecture, and platform evolution in high-growth companies.
• Deep understanding of cloud-native architectures (AWS/GCP), containerisation (Kubernetes), and infrastructure-as-code.
• Experience in influencing and leading large-scale technical decisions across multiple product or platform teams.
• Strong systems thinking, with fluency in reliability, observability, security, and cross-domain integrations.
• Exposure to fintech or regulated industries with experience handling sensitive data and building compliant systems.
• Excellent collaboration and communication skills, comfortable influencing technical and non-technical stakeholders alike.
• Experience working in early-stage or high-growth product companies at scale.
• Background in platform engineering, internal developer platforms, or SRE culture.
• Hands-on experience with scalable data infrastructure e. g., Kafka, ClickHouse, PostgreSQL, Redis, or similar.
• Familiarity with domain-driven design (DDD), event-driven systems, and asynchronous communication patterns.
• Open-source contributions, tech talks, or writing that demonstrates thought leadership.