Why this role exists:

This role exists to bridge the gap between ambitious business goals and high-performance engineering reality. You’ll help us scale our technical ecosystem by taking full ownership of architectural blueprints, governance standards, and the long-term stability of our distributed systems.

What you’ll drive:

Strategy & Architecture Design

• Define and evangelize technology principles that balance short-term delivery with long-term system vitality.
• Architect distributed systems using Domain-Driven Design (DDD), CQRS, and Event-Driven Architecture (EDA).
• Select and validate the right tools—from Kafka streams to NoSQL stores—to solve specific scale bottlenecks.

Resilience & Governance

• Design for failure by implementing patterns like Circuit Breaker, Bulkhead, and advanced Rate-limiting.
• Establish governance frameworks that unblock developers rather than slowing them down with bureaucracy.
• Optimize data strategies, including sharding, replication, and performance tuning for SQL/NoSQL databases under heavy load.

Delivery & Cloud Evolution

• Build scalable infrastructure using Kubernetes, Docker, and Infrastructure as Code (Terraform/Ansible).
• Modernize CI/CD pipelines to ensure automated, secure, and rapid deployments.
• Drive FinOps initiatives to ensure our cloud architecture is as cost-efficient as it is performant.

Technical Leadership

• Unblock engineering teams by breaking down complex problems into clear, documented architectural blueprints.
• Lead architecture reviews and mentor senior engineers to foster a culture of technical excellence.

What makes you a GR8 fit:

Must-have

• 5+ years in senior/lead engineering roles with a proven track record in Microservices, EDA, and DDD.
• Deep understanding of CAP theorem, ACID properties, and implementing fault-tolerance patterns.
• Hands-on mastery of AWS or Azure, including Kubernetes, Docker, and Terraform (IaC).
• Expert-level SQL/NoSQL knowledge, including database sharding, replication, and query optimization.
• Proficiency in Kafka (architecture, stream processing, and optimization for reliability).
• Master’s degree in Computer Science or a related technical field.

Nice-to-have

• Understanding of IAM, PKI, and building secure VPC/Hybrid cloud environments.
• Experience with GitLab CI/GitHub Actions and optimizing cloud infrastructure costs.
• Designing monitoring strategies using APM tools and logging frameworks for full system visibility.
• Proven ability to migrate monoliths to cloud-native architectures without downtime.
• Experience in technical mentoring, code reviews, and driving engineering excellence across teams.