Software Architect

Overview

Key Responsibilities

• Architect end-to-end solutions for cloud-native applications with a strong focus on scalability, availability, performance, and security.
• Design and oversee the development of microservices architectures, ensuring clean service boundaries, loose coupling, and high maintainability.
• Define and guide the adoption of message queueing and streaming platforms (e.g., Kafka, Redis Streams, RabbitMQ) for event-driven communication and real-time processing.
• Architect and optimize data storage solutions, including distributed databases (e.g., Citus, PostgreSQL, Snowflake) to meet high availability and scalability requirements.
• Collaborate with engineering teams to define architecture blueprints, reference implementations, and technical standards.
• Perform architecture reviews, provide hands-on technical guidance, and ensure adherence to best practices in code quality, testing, observability, and security.
• Evaluate new technologies, frameworks, and tools; recommend and drive technology adoption aligned with long-term architectural goals.
• Work closely with DevOps, SRE, and security teams to ensure efficient CI/CD, infrastructure automation, and secure system design.
• Provide architectural support for customer-facing issues, performance bottlenecks, and production incidents.
• Advocate for domain-driven design (DDD), API-first design, and event-driven patterns across the engineering organization.

Minimum Qualifications

• 10+ years of experience in software development, with 3+ years as a Software Architect or in a similar architectural leadership role.
• Proven experience in designing and deploying cloud-native applications using AWS, Azure, or GCP.
• Strong knowledge of microservices patterns, REST/gRPC APIs, and asynchronous communication.
• Hands-on experience with streaming and messaging platforms such as Apache Kafka, Redis Streams, RabbitMQ, or Amazon Kinesis.
• Expertise in distributed databases like Citus, Snowflake, PostgreSQL, Cassandra, or similar.
• Solid understanding of containerization and orchestration (e.g., Docker, Kubernetes, Helm).
• Familiarity with DevOps practices, including infrastructure as code (e.g., Terraform) and CI/CD pipelines.
• Experience with monitoring and observability tools such as Prometheus, Grafana, Datadog, ELK stack.
• Strong focus on scalability, performance tuning, reliability, and security best practices in architecture.

Preferred Qualifications

• Bachelor s or Master s degree in Computer Science, Engineering, or a related technical field.
• Experience with event sourcing, CQRS, or real-time data processing architectures.
• Familiarity with data pipelines, ETL workflows, and big data platforms.
• Understanding of multi-tenant SaaS architectures and compliance requirements (e.g., GDPR, SOC2).
• Prior experience with technical mentoring, code reviews, and engineering process improvements.