– Technical Governance: Establish technical standards, coding guidelines, and architectural guardrails, ensuring compliance across multiple engineering squads.
– Technology Evaluation: Lead the evaluation, prototyping, and selection of modern tools, platforms, and frameworks (such as choosing between monolithic vs. microservices, or specific database technologies).
– Cross-Functional Alignment: Partner with Product Managers, Security Officers, and Engineering Leads to translate complex business strategies into viable, future-proof technical roadmaps.
– Risk & Performance Management: Conduct architectural reviews and root cause analyses on system bottlenecks to optimize for latency, throughput, and cost-efficiency.
– Mentorship & Advocacy: Champion engineering excellence by mentoring Tech Leads and Senior Developers, fostering a proactive and autonomous engineering culture.
Qualifications:
– Professional Experience: 8+ years of experience in software engineering, with at least 3+ years acting in a dedicated System Architect or Principal Engineer capacity.
– Architectural Mastery: Deep knowledge of enterprise integration patterns, microservices architecture, Event-Driven Architecture (EDA), and Domain-Driven Design (DDD).
– Cloud & Infrastructure: Hands-on expertise architecting cloud-native solutions on AWS, Azure, or GCP, including serverless computing, container orchestration (Docker, Kubernetes), and Infrastructure as Code (IaC).
– Data Architecture: Strong understanding of relational databases (SQL Server, PostgreSQL) and NoSQL solutions (MongoDB, Redis, Cassandra), knowing when to apply each model.
– Security & Compliance: Proven track record of designing secure systems, factoring in identity management (OAuth/OIDC), data encryption, and network security layers.
– Language: Advanced English proficiency (fluent verbal and written communication).
Nice-to-have Skills:
– DevOps Mastery: Advanced experience with CI/CD automation, service meshes (e.g., Istio), and system observability tools (Datadog, Prometheus, ELK stack).
– Legacy Decoupling: Proven experience applying patterns (like the Strangler Fig pattern) to systematically migrate legacy monoliths to modern architectures.
– AI/Data Streaming: Familiarity with heavy data streaming tools (Kafka, RabbitMQ) or high-scale AI infrastructure pipelines.
– Certifications: Professional certifications such as AWS Certified Solutions Architect Professional, Azure Solutions Architect Expert, or TOGAF.
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